Job Title: Global M&C Data Architect Director & Chapter Lead – MarTech Company: Boston Consulting Group Job Category: Machine Learning Roles & Responsibilities: Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963\. Today, we help clients with total transformation\-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom\-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading\-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. The MarTech Data Architect \& Data Engineering Chapter Lead for Marketing \& Communications is a senior technical leader responsible for the engineering excellence, architectural integrity, and continuous evolution of BCG's marketing data foundation and connected platforms. Sitting within the MarTech Engineering team, this person leads the data engineering chapter that serves BCG's Global Marketing analytics and data functions owning the technical standards, pipeline architecture, and data platform capability that underpins the full marketing analytics and data ecosystem, from CRM data operations and audience segmentation through to Tableau dashboard delivery, channel performance intelligence, and AI\-assisted insight generation. A core part of this ownership is the identity resolution model the framework that matches and unifies client and contact records across marketing data and CRM systems into a single trusted profile. The Chapter Lead designs, manages, and continually refines this model, and partners closely with BCG's core data architect, client, marketing, CRM and engineering teams and data functions to maintain a shared, consistent definition of identity across systems. This role also carries direct responsibility for aligning the marketing data layer with BCG's wider enterprise data approach. The Chapter Lead partners with enterprise data governance and architecture teams to ensure marketing's data standards, access controls, lineage, and quality practices are built to firm\-wide policy rather than developed in isolation representing marketing's needs in enterprise governance forums while bringing enterprise requirements back into the marketing data roadmap. The role sits at the intersection of technical leadership and marketing analytics product delivery. The Chapter Lead is not only the most senior data engineering voice they are an active partner to the product owners, analysts, and insight leaders whose work depends on the reliability, quality, and sophistication of the data infrastructure this person builds and leads. They lead and develop the data engineering team, set the data engineering direction in line witht the overall MarTech strategy and standards, establish the data standards, and ensure that BCG's marketing data platforms are capable of supporting not just today's analytics needs but the agentic intelligent data environment the marketing organization is building toward. Chapter Leadership \& Data Engineering Development * Lead the data engineering chapter serving BCG's Global Marketing \& Communications team setting technical direction, establishing engineering standards, and creating an environment where engineers across squads are developing their skills, doing their best work, and growing their careers * Provide architectural oversight and hands\-on review of engineering work across the chapter code quality, architectural consistency, pipeline reliability, and data modeling standards are upheld across all squads the chapter serves * Actively mentor and develop chapter engineers conducting regular technical reviews, providing structured feedback, identifying growth opportunities, and building the collective engineering capability that allows the chapter to take on increasingly sophisticated data and AI challenges over time * Partner with squad product owners to ensure engineering capacity, technical priorities, and sprint commitments are aligned with the analytical products and insight capabilities the marketing organization depends on * Contribute to hiring decisions, team structure, and data engineering development helping build a chapter that is technically excellent, well\-motivated, and capable of sustaining the marketing analytics function's growing ambitions * Design, document, and implement robust, scalable data pipelines that feed the marketing analytics data models powering BCG's dashboard suite, channel insight products, audience intelligence, and CRM data operations built on Snowflake, dbt, and Apache Airflow as the core platform stack * Build monitoring and alerting for match\-rate quality, pipeline failures, and unexpected shifts in merge/split volume Establish a lineage trail so any resolved identity can be traced back to its contributing source records and the logic that merged them * Build processes to handle un\-merging (splitting incorrectly merged records) as well as merging * Implement data standardization logic (name normalization, address formatting, email canonicalization) as a pre\-processing layer ahead of matching * Integrate data from across BCG's marketing technology ecosystem into the marketing data environment in a structured, governed, and scalable way that supports both current reporting needs and future analytical capability * Apply SCD, CDC, and DQ/DV frameworks rigorously across pipeline development ensuring that data arriving in the marketing master dataset is accurate, complete, historically traceable, and fit for the analytical and insight purposes it is intended to serve * Evaluate and implement new technical solutions, data engineering patterns, and platform capabilities that improve the reliability, performance, and sophistication of BCG's marketing data infrastructure contributing MVPs and proofs of concept that demonstrate feasibility before committing to full implementation * Own the data quality and governance standards for BCG's marketing data engineering environment implementing the monitoring, validation, and alerting frameworks that catch data quality issues before they surface as errors in stakeholder\-facing dashboards or analytical outputs * Implement data performance and data security policies that align with BCG's governance objectives, regulatory requirements, and privacy obligations working in close partnership with enterprise data governance, IT security, and legal colleagues to ensure the marketing data environment meets the firm's standards across all dimensions * Maintain clear, accessible documentation of data models, pipeline architecture, transformation logic, and engineering decisions building institutional knowledge that reduces key\-person dependency and supports the chapter's resilience as it grows Technical Monitoring \& Incident Management * Actively monitor the health, performance, and reliability of BCG's marketing data pipelines and Snowflake environment — establishing the observability frameworks, alerting standards, and incident response protocols that minimize disruption to the analytical products and insight outputs the marketing organization depends on * Lead the triage and resolution of critical technical incidents with urgency, clarity, and sound engineering judgment — communicating clearly with product owners and stakeholders throughout, and ensuring that root cause analysis and remediation are completed systematically rather than reactively * Identify and address performance bottlenecks across the data engineering environment — conducting regular performance reviews and implementing optimization improvements that keep the platform scalable and responsive as data volumes, analytical complexity, and user demand grow * Build strong working relationships with external stakeholders across BCG's global data and technology organization ensuring that marketing's data engineering work is aligned with firm\-wide data standards and that dependencies are managed proactively * Partner with IT architecture and platform teams on shared infrastructure decisions — including AWS cloud services, Azure Active Directory integration, and CI/CD pipeline tooling — ensuring marketing's engineering choices are compatible with BCG's broader technology environment * Engage with product portfolio management and cross\-functional data product teams across finance, HR, legal, and other BCG functions — contributing a marketing analytics perspective to firm\-wide data platform conversations and maintaining awareness of cross\-functional data and security trends that affect the marketing data environment * Leading a chapter of data engineers with technical authority and genuine investment in their development — you set a high bar, model it yourself, and bring people along rather than simply holding them to it * Designing data pipeline architectures and Snowflake data models that are not just technically correct but genuinely built for the analytical consumption patterns of a sophisticated marketing analytics function — you think about the downstream insight need as much as the upstream engineering requirement * Writing advanced SQL and well\-structured dbt models that your colleagues can read, understand, maintain, and build on — you treat code quality and documentation as professional obligations, not optional extras * Navigating the intersection of data engineering and marketing analytics with enough domain fluency to engage credibly with product owners, analysts, and insight leaders — you understand what they are trying to build and why, and you engineer solutions that serve those needs rather than just satisfying technical requirements * Bringing a current and practical perspective on AI and its implications for data engineering — you are not evangelizing AI for its own sake, but you have a well\-formed view of where intelligent automation, Snowflake Cortex, and LLM integration create genuine engineering opportunity in a marketing analytics context * Staying calm and effective in critical incidents — you triage with sound judgment, communicate clearly under pressure, and resolve issues systematically rather than reactively * Collaborating with product owners and Agile teams in a way that adds engineering value to product decisions — you show up to sprint ceremonies prepared, you flag technical risk early, and you help the squad make better product decisions by making the engineering trade\-offs visible and understandable * 13\+ years of data engineering experience with a strong focus on data warehouse architecture, pipeline development, and data modeling, including at least 2–3 years in a chapter lead, technical lead, or senior engineering leadership role * Demonstrably advanced SQL proficiency and deep hands\-on experience with Snowflake — including data modeling, performance optimization, security configuration, and consumption layer design for analytical workloads * Expert\-level proficiency with dbt for data transformation and data model development, and strong hands\-on experience with Apache Airflow for pipeline orchestration and job scheduling * Solid experience applying SCD, CDC, and DQ/DV frameworks in production data engineering environments — you have built these patterns, maintained them, and debugged them when they break * Demonstrated ability to write clean, well\-documented, version\-controlled code — you use GitHub or Bitbucket as a professional standard, not an afterthought * Experience integrating data from complex, multi\-platform marketing or enterprise technology ecosystems — familiarity with platforms such as Dynamics CRM, Adobe Analytics, Marketo, Sprinklr, or equivalent marketing technology is a meaningful advantage * Working knowledge of AI and machine learning concepts as they apply to data engineering — including intelligent pipeline orchestration, AI\-assisted data quality, and the evolving role of Snowflake Cortex or equivalent capabilities in analytics environments * Strong Python scripting skills for pipeline development, automation, and data engineering tooling; experience with PowerShell or equivalent a plus * Experience with cloud platforms — AWS preferred, Azure and GCP also valued — and familiarity with CI/CD pipeline tooling and version control workflows in a production data engineering environment * Experience working in Agile and scrum\-based delivery environments — including active participation in sprint ceremonies, backlog grooming, and cross\-functional squad collaboration with product owners, architects, and data SMEs * Excellent written and verbal communication skills — including the ability to present architecture decisions, engineering trade\-offs, and technical recommendations to non\-technical product owners and marketing stakeholders clearly and confidently * Experience with JIRA and Confluence for delivery management and technical documentation * Familiarity with other data platforms including Oracle, SQL Server, or MDM systems is a plus * Bachelor's degree in Computer Science, Information Science, Data Management, or a related field, or equivalent practical experience This role operates within BCG's Global Marketing analytics and data hub functions as the senior technical leader of the data engineering chapter that serves it. Your most important day\-to\-day working relationships are with the engineers in your chapter — the people whose technical growth, work quality, and professional development you are directly accountable for — and with the product owners across the marketing analytics and data hub squads whose roadmaps depend on the reliability and capability of the engineering infrastructure your chapter builds and maintains. Within the analytics function, you will partner closely with the Director of Marketing Analytics and the Director of Data Hub who run the squads who access, monitor, and deliver insights and data driven insights for the global marketing organization. You will also collaborate with the CRM data operations and CRM engineering leads — ensuring that the data quality and governance standards that apply at the platform level are reflected in the CRM data environment that feeds the broader marketing analytics ecosystem. At the most senior level, you will engage with the Director of Marketing Analytics \& Data and Director of Data Hub as a peer and strategic partner — contributing the engineering perspective that shapes how the function's data platform capability evolves, how AI and emerging technology are incorporated into the chapter's roadmap, and how BCG's marketing analytics and data infrastructure is positioned to support the organization's most ambitious data and insight ambitions. This is a role for a data engineering leader who finds genuine satisfaction in the combination of deep technical craft and organizational impact — who wants to build something that is not just technically excellent but genuinely indispensable to how a world\-class marketing organization understands and acts on its data. At BCG, our people and relationships are at the heart of everything we do. We believe that in\-person collaboration plays an important role in our culture, mentorship, and professional development. For this role, you will generally be expected to work from a BCG office or in person with clients on a regular basis (typically around 50% of working time), depending on business needs and in line with local policies and practices. Work Location: Gurgaon, India Availability: Full time

Job Title: Analyst-Data Science Company: American Express Job Category: Machine Learning Roles & Responsibilities: This Analyst – Data Science role, based out of India, will join the Prospect Cross\-functional team within AIM and execute analytical workstreams supporting prospect targeting and acquisition initiatives. Leveraging a broad analytical toolkit—including advanced machine learning, predictive modeling, optimization, and Generative AI—the role supports the end\-to\-end development of scalable analytical solutions that enhance targeting precision, engagement effectiveness, and marketing ROI. This role provides an opportunity to build next\-generation AI\-powered capabilities across prospect enrichment, intelligent targeting, lead prioritization, and decision support by combining advanced analytics with modern Generative AI techniques. Working closely with data scientists, product managers, engineers, and business stakeholders, the Analyst will develop scalable analytical solutions that accelerate data\-driven decision making while maintaining the highest standards of Responsible AI and model governance. Shift Time: 1:30 pm \- 9:30 pm (should be flexible to US timing's ) * Degree in a quantitative field preferred, such as Engineering, Mathematics, Computer Science, Finance, Economics, Statistics, or a related discipline. * 1\+ years of experience in data science, advanced analytics, machine learning, decision science, or related quantitative roles. * Strong programming skills in Python and SQL, with working knowledge of Hive and/or PySpark in large\-scale data environments, hands\-on experience developing machine learning models end\-to\-end, and familiarity with software engineering best practices including Git\-based version control. * Demonstrated hands\-on experience building or experimenting with LLM\-based applications, including Retrieval\-Augmented Generation (RAG), prompt engineering, semantic search, embeddings, structured outputs, or AI\-powered assistants. * Knowledge of supervised machine learning techniques (e.g., gradient boosting, tree\-based models, regression, clustering) and statistical techniques such as hypothesis testing, multivariate testing, ANOVA, and model evaluation methodologies. * Exposure to AI agent frameworks, tool/function calling, vector databases, LLM orchestration frameworks (e.g., LangChain, LlamaIndex, DSPy), context management, or workflow automation is a plus. * Familiarity with modern ML/AI development frameworks, open\-source libraries, prompt lifecycle management, and evaluation frameworks. * Strong analytical and problem\-solving skills, with the ability to execute well\-defined analytical tasks accurately and efficiently. * Demonstrated ability to manage assigned work independently while collaborating effectively within a cross\-functional team. * High attention to detail, intellectual curiosity, and an experimentation mindset with the ability to evaluate solutions objectively and iterate based on evidence. * Strong written and verbal communication skills, with the ability to clearly explain analytical findings and support stakeholder discussions. * Familiarity with Responsible AI principles, including explainability, bias and fairness assessment, hallucination mitigation, prompt safety, model monitoring, evaluation, audit readiness, and GenAI risk management practices. At American Express, our culture is built on a 175\-year history of innovation, shared values and Leadership Behaviors, and an unwavering commitment to back our customers, communities, and colleagues. From delivering differentiated products to providing world\-class customer service, we operate with a strong risk mindset, ensuring we continue to uphold our brand promise of trust, security, and service. As part of Team Amex, you’ll experience our powerful backing with comprehensive support for your holistic well\-being and many opportunities to learn new skills, develop as a leader, and grow your career. Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. * Competitive base salaries * Bonus incentives * Support for financial\-well\-being and retirement * Comprehensive medical, dental, vision, life insurance, and disability benefits (depending on location) * Flexible working model with hybrid, onsite or virtual arrangements depending on role and business need * Generous paid parental leave policies (depending on your location) * Free access to global on\-site wellness centers staffed with nurses and doctors (depending on location) * Free and confidential counseling support through our Healthy Minds program * Career development and training opportunities Work Location: Gurgaon, India Availability: Full time

Job Title: AI Engineer Company: Keywords Studios Job Category: Machine Learning Roles & Responsibilities: Keywords Studios is a leading global provider of technical and creative services to the video game and entertainment industries. With a network of over 70 studios across 26 countries, we partner with the world's most renowned game developers and publishers to deliver end\-to\-end solutions. Our expertise spans game development, art production, localization, audio services, functional and linguistic testing, and much more. At Keywords, we foster a culture of collaboration, innovation, and excellence, empowering our teams to create world\-class gaming experiences that captivate audiences worldwide. In India, the company is headquartered in Gurgaon and has facilities in Bangalore and Pune. Join us in shaping the future of gaming and entertainment through technology! Role Overview We are looking for a passionate and skilled AI Engineer to build next\-generation applications. You will play a key role in developing, deploying, and optimizing state\-of\-the\-art Al models to power intelligent solutions that impact millions of users. This role heavily focuses on generative AI, Large Language Models (LLMs), and integrating sophisticated agentic workflows into production environments. ●     Design, develop, and deploy advanced AI solutions focused on generative capabilities and conversational Al. Work Location: Pune Division, Maharashtra, India Availability: Full time

Job Title: Global AI/ML Engineer Manager Company: Boston Consulting Group Job Category: Machine Learning Roles & Responsibilities: Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963\. Today, we help clients with total transformation\-inspiring complex change, enabling organizations to grow, building competitive advantage, and driving bottom\-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading\-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and throughout all levels of the client organization, generating results that allow our clients to thrive. To realize our aspirations to build a Gen AI assistant that will transform the way BCG works, we are looking for LLM engineers who are passionate about designing, developing, and optimizing GenAI products. You will work within the LLM Squad and your Squad Leader in your domain of expertise, helping to advance the work and using your experience to maximize Squad performance. You will bring expertise in full stack development, Performance, and stability of custom\-built products. This role is involved in all aspects of LLM based application including LLM expertise, Data science/ML, backend development including API and core functional logic. Work would also involve documentation of all designs and development. Among your responsibilities, you will: Continuously developing your expertise: * Working with your Squad to achieve its mission by advancing tasks based on the priorities set by the product owner. * Collaborating cross\-functionally, leveraging your expertise to support the Squad’s goals and deliver impactful results. Identifying and supporting resource needs: * Actively embracing and supporting the organization’s new working models, including Agile practices. * Contributing to a positive and collaborative team culture by embodying the values of the new way of working * Being a highly skilled Senior AI and LLM Engineer. * Executing both planning and hands\-on technical work independently. * Collaborating effectively with Product Owners and other stakeholders to solve complex problems. * Working cross\-functionally to contribute to impactful solutions across teams. * Continuously developing your technical expertise and staying up\-to\-date with new technologies. * Being passionate, intellectually curious, and driven to expand your skills and knowledge. * Using a data\-driven approach to solve technical challenges and make informed decisions. * Applying your systems\-level thinking, integrating both data science and engineering principles. * Taking full ownership of the features and projects you work on, delivering high\-quality solutions on your own. BCG pioneered strategy consulting more than 50 years ago, and we continue to innovate and redefine the industry. We offer multiple career paths for the world’s best talent to have a real impact on business and society. As part of our team, you will benefit from the breadth and diversity of what we are doing today and where we are headed next. We count on your authenticity, exceptional work, and strong integrity. In return we are committed to supporting you in discovering the most fulfilling career journey possible—and unlocking your At BCG, our people and relationships are at the heart of everything we do. We believe that in\-person collaboration plays an important role in our culture, mentorship, and professional development. For this role, you will generally be expected to work from a BCG office or in person with clients on a regular basis (typically around 50% of working time), depending on business needs and in line with local policies and practices. Work Location: Gurgaon, India Availability: Full time

Job Title: Sr Software Engineer Company: Gartner Job Category: Machine Learning Roles & Responsibilities: Join a world\-class team of skilled engineers who build creative digital solutions to support our colleagues and clients. We make a broad organizational impact by delivering cutting\-edge technology solutions that power Gartner. Gartner IT values its culture of nonstop innovation, an outcome\-driven approach to success, and the notion that great ideas can come from anyone on the team. About the role: Gartner is seeking a talented and passionate Senior Software Engineer to join our growing Search Platform team. In this role, you will be responsible for building the foundational data and services for AI Products and Insights team. You will closely collaborate with Product Managers, Data Scientists and Cloud teams to expand the reach and accuracy of our Agentic and Search Solutions. * Technical Leadership : Provide leadership and guidance for medium\-sized initiatives, ensuring solutions are scalable and incorporate strategic considerations. * System Architecture: Contribute actively to architectural discussions and design sound, maintainable web services using Java or Python. * Engineering Standards: Promote organizational values within the team and ensure technical decisions align with broader team goals and best practices. * API Development: Build and performance tune highly scalable APIs * Developing Search Algorithms : Implementing advanced search algorithms leveraging search engine features such as vector search, natural language processing, personalization, and other state\-of\-the\-art technologies. * AI\-Powered Retrieval: Build and optimise reusable lexical, vector, and hybrid search services that provide relevant contextual information for AI products and agentic experiences, collaborating with Data Scientists to improve retrieval quality. * Agentic Search Integration: Develop reusable search tools and APIs for integration into agent frameworks, enabling AI agents to retrieve information and combine search capabilities within multi\-step workflows. Partner with Product Managers, Data Scientists, and Cloud teams to deliver scalable agentic search solutions. * Relevancy Model Development: Collaborating with machine learning and data science teams to optimize relevancy models that improve user search experiences, incorporating feedback loops and behavioral data. * Search Result Tuning Based on Business Metrics: Collaborating with product and business teams to fine\-tune search results to align with business goals like conversion, engagement, and retention * Performance Tuning : Continuously testing and optimizing the performance of the search engine to improve query response times, accuracy, and relevancy based on defined metrics. * Integration: Integrating the search infrastructure with other services and data platforms to enable seamless data retrieval, indexing, and search performance monitoring. * Data Pipeline Management: Developing and maintaining scalable data pipelines to ensure efficient data flow, low\-latency indexing, and real\-time search capabilities. * Data Analysis: Analyzing search patterns, user interactions, and relevancy metrics to refine search algorithms and improve the overall user experience. * Data \& ML Integration: Design and implement robust ETL/ELT pipelines and ML Engineering workflows that meet performance and reliability requirements. * Strategic Communication: Develop strong communication skills to articulate technical concepts to various stakeholders and influence technical direction at the Business Unit level. * Mentorship: Actively seek opportunities to mentor junior and peer engineers, fostering a culture of continuous learning and growth. * Experience: 3\-2-3 years of experience in the IT industry. * API Development: Experience and strong knowledge about REST APIs, API performance / scaling and best practices * Advanced Engineering: Strong command of Data Structures, Algorithms, and Design Patterns to build moderately complex and efficient systems. * Backend Mastery: Significant experience developing and maintaining production\-scale, customer\-facing web services. * Search \& Storage: Hands\-on exposure and solid understanding of different storage engines (SQL and NoSQL, Search Engines). * Cloud \& DevOps: Familiarity with AWS environments and a working knowledge of CI/CD pipelines and DevOps practices. At Gartner, Inc. (NYSE:IT), we guide the leaders who shape the world. Our mission relies on expert analysis and bold ideas to deliver actionable, objective business and technology insights, helping enterprise leaders and their teams succeed with their mission\-critical priorities. Since our founding in 1979, we’ve grown to 20,000 associates globally who support over 13,000 client enterprises in \~90 countries and territories. We do important, interesting and substantive work that matters. That’s why we hire associates with the intellectual curiosity, energy and drive to want to make a difference. The bar is unapologetically high. So is the impact you can have here. We invest in great leaders who bring out the best in you and the company, enabling us to multiply our impact and results. This is why, year after year, we are recognized worldwide as a great place to work. At Gartner, you’ll join a company at the very center of the AI revolution. Gartner has proactive, objective guidance throughout clients’ AI journeys. We set the standard for how organizations leverage artificial intelligence to drive meaningful impact. You’ll have access to unmatched resources, expertise, and technology, and play a key role in helping Gartner and our clients innovate and grow as we leverage AI to transform business and technology landscapes. It’s an exciting time to be at Gartner, with limitless opportunities to make a real impact, grow your skills, and build a lasting, meaningful career in a field that’s reshaping the way we operate. If you’re passionate about AI and want to be part of a team that’s guiding the leaders who shape the world, Gartner is the place for you. In our hybrid work environment, we provide the flexibility and support for you to thrive — working virtually when it's productive to do so and getting together with colleagues in a vibrant community that is purposeful, engaging and inspiring. Work Location: Gurgaon, India Availability: Full time

Job Title: Lead AI/ML Engineer Company: Optum Job Category: Machine Learning Roles & Responsibilities: Primary Responsibilities: * Technical Leadership \& Delivery + Design and implement scalable, distributed enterprise applications + Drive end\-to\-end delivery of AI\-powered solutions leveraging LLM ecosystems + Build intelligent systems using GenAI patterns, including: - Retrieval\-Augmented Generation (RAG) - Embeddings and semantic search - NLP\-based pipelines + Develop, test, and deploy production\-grade services and platforms + Ensure systems meet expectations for: - Performance - Reliability - Scalability + Lead deep technical problem\-solving in complex and ambiguous environments * Architecture \& Engineering Excellence + Architect and implement: - Microservices\-based systems - Event\-driven architectures - Robust API\-driven platforms + Define and enforce best practices in: - System design - Code quality - Testing strategies + Secure software engineering + Optimize systems for high throughput, low latency, and fault tolerance * Platform \& Technology Development + Work extensively with: - Programming languages (Go, Python, or equivalent) - Databases (MongoDB, PostgreSQL) - Cloud platforms (Azure / GCP) - Container\-based deployments and orchestration (ACA preferred) + Build and maintain CI/CD pipelines and DevOps practices + Enable efficient, automated, and reliable software delivery * Observability \& Production Reliability + Design and implement observability frameworks including: - Logging - Monitoring - Tracing + Troubleshoot production issues and ensure rapid resolution + Continuously improve system reliability and operational excellence * + Stakeholder \& Cross\-Team Collaboration * + Collaborate with: - Product teams - Engineering teams + Translate business requirements into scalable technical solutions + Influence architecture decisions across teams without direct authority + Communicate complex technical concepts clearly to diverse audiences * Mentorship \& Technical Influence + Mentor and guide engineers to improve technical capabilities + Promote engineering best practices and design rigor + Drive technical reviews, design discussions, and innovation initiatives + Foster a culture of high\-quality engineering and continuous improvement * Compliance + Comply with all applicable Company policies, procedures, and business directives, changes including those relating to work location, team assignments, work schedules, and flexible work arrangements. Leadership \& Execution: Work Location: Gurgaon, India Availability: Full time

Job Title: T&T-EAID-Senior Consultant-ETL Testing-Delhi-Engineering-Quality Engineering Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Deloitte’s Technology \& Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact\-driven decision\-making and generate an insight\-driven advantage. Our practice addresses the continuum of opportunities in business intelligence \& visualization, data management, performance management and next\-generation analytics and technologies, including big data, cloud, cognitive and machine learning. * Data Testing: + Strong SQL (Big Query preferred) + DBT and automated testing frameworks * Report Testing: + Power BI dashboard and DAX testing * DevOps \& CI/CD: + CI/CD pipelines and Git workflows * Security \& Governance: + IAM and data governance awareness * Delivery Approach: + Agile delivery + JIRA and Confluence + Collaboration across teams * Specialisations: + Financial services domain experience + SQL\-based testing and Python scripting + Data warehouse testing * 5\+ years’ experience * Strong problem solving * Stakeholder management * Public IBOR/ABOR knowledge or understanding of Aladdin data (will support the Public IBOR team) * Aladdin platform (Asset, Liability, Debt and Derivative Investment Network) Work Location: Gurgaon, India Availability: Full time

Job Title: Consultant - Data Analytics Company: PayU Job Category: Machine Learning Roles & Responsibilities: The Risk Operations team at PayU is a data\-driven function responsible for supporting the identification, assessment, and mitigation of financial and operational risks across the payments ecosystem. The team uses data, analytics, automation, and technology\-enabled solutions to strengthen risk controls, improve operational efficiency, and support seamless experiences for merchants and customers. Working closely with risk, product, technology, operations, and business teams, the Risk Operations team converts complex data into actionable insights that support informed decision\-making and effective risk management. This is an opportunity to contribute to a fast\-paced fintech environment where analytics plays an important role in managing risk at scale. About the Role: PayU is looking for a Consultant – Data Analytics to join the Risk Operations team in Gurgaon for a 12\-month assignment. The role will focus on analysing risk and operational data, developing dashboards and reports, automating recurring processes, and providing insights that support business and risk decisions. The successful candidate will work with large and complex datasets, translate business requirements into analytical solutions, and collaborate with stakeholders to improve reporting, monitoring, and decision\-making. The role also requires an interest in emerging AI tools and their practical applications in data analytics, reporting, and process automation. Responsibilities: Use Python for data analysis, data preparation, automation, reporting, and development of analytical solutions. Design, build, and maintain interactive dashboards and reporting systems to monitor key risk and operational metrics. Automate recurring reports, data preparation activities, monitoring processes, and other manual workflows to improve efficiency and accuracy. Explore and apply relevant AI tools to support data analysis, insight generation, dashboard development, documentation, and process automation, while ensuring appropriate review of outputs. Maintain documentation for queries, dashboards, reporting logic, processes, and analytical methodologies. Stay informed about developments in risk analytics, data visualisation, automation, and AI applications relevant to the fintech and payments industry. Ability to collaborate effectively with cross\-functional stakeholders and manage multiple priorities. Knowledge of risk management, fraud detection, transaction monitoring, or operational risk concepts would be preferred. Access to 5000\+ training courses accessible anytime/anywhere to support your growth and development (Corporate with top learning partners like Harvard, Coursera, Udacity) As a global and multi\-cultural organization with varied ethnicities thriving across locations, we realize that our responsibility towards fulfilling the D\&I commitment is huge. Therefore, we continuously strive to create a diverse, inclusive, and safe environment, for all our people, communities, and customers. Our leaders are committed to create an inclusive work culture which enables transparency, flexibility, and unbiased attention to every PayUneer so they can succeed, irrespective of gender, color, or personal faith. An environment where every person feels they belong, that they are listened to, and where they are empowered to speak up. At PayU we have zero tolerance towards any form of prejudice whether a specific race, ethnicity, or of persons with disabilities, or the LGBTQ communities. Work Location: Haryana, India Availability: Full time

Job Title: Analyst - Data Scientist Machine Learning Company: United Airlines Job Category: Machine Learning Roles & Responsibilities: United Airlines' Digital Fleet Management department partners with Technical Operations leaders across the company to transform data and analytics into operational solutions. The team develops analytical products and data-driven insights that improve fleet performance and maintenance operations. This role requires strong analytical capability, product-development thinking, strategic problem solving, and effective relationships with internal and external partners. Role Overview The Analyst - Data Scientist will support both data analytics use cases and analytical product development. The role is responsible for work across the full lifecycle, including problem definition, data extraction and analysis, model development, productization, deployment, monitoring, and continuous improvement of production-grade analytical products and dashboards that support operational decisions. Job Responsibilities: * Design, develop, and deploy analytical products that apply data analysis, statistical modeling, machine learning, and optimization to business and operational problems. * Partner with business and technical stakeholders to translate data analytics use-cases into clear requirements, scalable solutions, and measurable outcomes * Own work from concept through execution, including data preparation, prototyping, validation, productization, documentation, monitoring, and continuous improvement * Analyze complex, high-volume data to identify patterns, generate actionable insights, and clearly communicate recommendations to technical and non-technical audiences Work Location: Gurgaon, India Availability: Full time

Location-Hyd/Noida/Gurgaon. Exp-8+ years. Work experience as a Python Developer. Expertise in at least one popular Python framework (like Django, Flask or Pyramid). Knowledge of object-relational mapping (ORM). Familiarity with front-end technologies (like JavaScript and HTML5). Extensive working exp in AWS. Exposure & Working experience in AI tools. Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.