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.
Hiring: GCP Data Engineer (FTE) Location: Bangalore | Chennai | Pune | Gurgaon | Kolkata Employment Type: Full-Time Notice Period - Immediate Joiner ( Serving Notice Period ) Work Mode - Hybrid We are looking for experienced GCP Data Engineers with strong expertise in building scalable cloud data solutions. Required Skills: v GCP Data Engineering Experience v BigQuery v SQL & Python v PySpark / Apache Spark v Apache Beam / Dataflow v ETL / ELT Pipeline Development v Airflow / Cloud Composer R...
About Position: We are looking for a skilled Data Engineer (Palantir Foundry) who can design, build, and optimize scalable data pipelines and data products on the Palantir Foundry platform. The ideal candidate has strong hands-on Foundry experience (Pipelines, Transforms, Code Repos), solid Python/PySpark skills, and strong SQL for complex transformations. Role: Data Engineer Location: Pune / Gurgaon Experience: 4 to 7 years Job Type: Full Time Employment What You'll Do: Build and maintain end-.
Position : Data Engineer Location: Gurgaon Work Mode: Hybrid (3 Days Work from Mandatory) Experience: 6 Years Required Skills: Python (Mandatory) Data Structures & Algorithms Generative AI (GenAI), LLMs Agentic AI, RAG OpenAI, LangChain, LangGraph MCP Server, Prompt Engineering FastAPI Machine Learning, NLP OCR & Image Processing Predictive Modelling Cloud Platforms (AWS/Azure/GCP) CI/CD, Jenkins, Docker, Kubernetes Job Responsibilities: Develop and deploy AI/GenAI applications using Agentic AI.
Position : Data Engineer Location: Gurgaon Work Mode: Hybrid (3 Days Work from Mandatory) Experience: 6 Years Required Skills: Python (Mandatory) Data Structures & Algorithms Generative AI (GenAI), LLMs Agentic AI, RAG OpenAI, LangChain, LangGraph MCP Server, Prompt Engineering FastAPI Machine Learning, NLP OCR & Image Processing Predictive Modelling Cloud Platforms (AWS/Azure/GCP) CI/CD, Jenkins, Docker, Kubernetes Job Responsibilities: Develop and deploy AI/GenAI applications using Agentic AI.
