Job Title: Intern - Full stack Developer Company: Riverbed Technology Job Category: Machine Learning Roles & Responsibilities: Title: Intern – Data Express Full Stack Developer If so, our team would love to have you! Our leading data movement and network optimization solutions are all about innovations around moving massive data at high speed in a highly optimizable way in this new era of artificial intelligence. What you will do: * Leverage AI tools and capabilities to analyze and deliver features and fixes in a rapid product development environment * Implement and unit test full\-stack features and services * Troubleshoot, debug, and fix in\-market product capabilities Our employee benefits including flexible workplace policies, employee resource groups, learning and development resources, career progression pathways, and community engagement initiatives are some of the reasons why we have had great success in bringing in new talent. In addition, our global employee wellness programs are crafted to support the physical, emotional, and financial well\-being of our employees. Work Location: Karnataka, India Availability: Full time
Job Title: Lead Machine Learning Engineer Company: Bain & Company Job Category: Machine Learning Roles & Responsibilities: team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data\-driven strategies and innovative solutions. Together, we create human\-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. * Design, build, and deliver statistical/ML models and agentic AI/LLM solutions to solve high\-impact client problems. * Architect and implement production\-grade ML systems by building enterprise\-grade services, applying MLOps and CI/CD for reliable deployment and monitoring, and ensuring high standards in engineering quality and documentation. * Partner with general consulting teams and client stakeholders to translate business problems into ML solutions, prioritize work, and enable enterprise‑scale AI transformation. * Continuously research emerging frameworks and state‑of‑the‑art AI (e.g., LLMs, agents, retrieval, post\-training, etc.) and convert learnings into reusable frameworks, components, and accelerators used across industries and functions. * Share knowledge and mentor others on best practices tools, and approaches in applied machine learning and AI engineering. * Contribute to internal R\&D and learning initiatives to advance Bain’s AI capabilities and foster continuous innovation between projects. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Machine Learning Scientist Company: Wayfair Job Category: Machine Learning Roles & Responsibilities: We are looking for an experienced Senior Machine Learning Scientist to lead the development of the next generation of intelligent customer experiences at Wayfair. You will design and deploy large\-scale machine learning systems that power personalization, recommendations, search, marketing decisioning, GenAI experiences, and other customer\-facing products. Working closely with engineers, product managers, platform teams, and fellow scientists, you will own highly ambiguous technical problems from research through production. You will shape technical strategy, mentor scientists through technical leadership, and help bring state\-of\-the\-art machine learning research into production for millions of customers. The solutions you build will become foundational capabilities that are reused across multiple customer technology domains, enabling personalization and intelligent decision\-making throughout the Wayfair ecosystem. Lead the design, development, and deployment of large\-scale machine learning systems across personalization, recommendations, search, ranking, generative AI, and customer decisioning. Partner closely with engineering and platform teams to productionize scalable ML systems and establish best practices for model training, inference, monitoring, and lifecycle management. Lead experimentation through offline evaluation, online A/B testing, and long\-term measurement of business impact. Mentor scientists and engineers through technical guidance, design reviews, and scientific leadership. Work Location: Karnataka, India Availability: Full time
Job Title: Data Scientist Company: NatWest Group Job Category: Machine Learning Roles & Responsibilities: * You’ll design and implement data science tools and methods which harness our data in order to drive market leading purposeful customer solutions * We’ll look to you to actively participate in the data community to identify and deliver opportunities to support the bank’s strategic direction through better use of data * This is an opportunity to promote data literacy education with business stakeholders supporting them to foster a data driven culture and to make a real impact with your work * We're offering this role at associate level As a Data Scientist, you’ll bring together statistical, mathematical, machine\-learning and software engineering skills to consider multiple solutions, techniques and algorithms to develop and implement ethically sound models end\-to\-end. We’ll look to you to understand the needs of business stakeholders, form hypotheses and identify suitable data and analytics solutions to meet those needs in order to support the achievement of our business strategy. You’ll Also Be * Using data translation skills to work closely with business stakeholders to define detailed business questions, problems or opportunities which can be supported through analytics * Applying a software engineering and product development lens to business problems, creating, scaling and deploying software driven products and services * Working in an Agile way within multi\-disciplinary data and analytics teams to achieve agreed project and scrum outcomes * Selecting, building, training and testing machine learning models considering model valuation, model risk, governance and ethics, making sure that models are ready to implement and scale * Iteratively building and prototyping data analysis pipelines to provide insights that will ultimately lead to production deployment Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Applied Scientist II, Amazon Music Company: Amazon Music Job Category: Machine Learning Roles & Responsibilities: This role is ideal for someone early in their career who enjoys working in collaborative, multidisciplinary teams and is excited by the opportunity to learn, innovate, and deliver measurable impact to customers. Key job responsibilities * Collaborate with scientists, engineers, and product managers to define and frame business problems as ML or optimization tasks. * Build, train, and evaluate models using large, complex datasets. * Implement scalable data pipelines and model\-serving systems. * Analyze experimental results, draw insights, and refine models to improve accuracy and robustness. * Communicate findings and recommendations to technical and non\-technical audiences. * Continuously learn and apply new algorithms and techniques to improve existing systems. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: T&T-EAID-Senior Consultant -ETL Testing-Bengaluru-Engineering - Quality Engineering Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Deloitte’s Technology \& Transformation 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. Key Responsibilities * Design and implement automated test frameworks for ETL / ELT pipelines. * Validate source\-to\-target data reconciliation, transformation logic, and business rules. * Develop automated test scripts for data completeness, accuracy, timeliness, and integrity checks. * Perform database, file, and API level testing across structured and semi\-structured data. * Create reusable automation components for row counts, checksum validation, null checks, and referential integrity. * Execute regression, integration, and system testing for data pipelines. * Analyze test failures, identify root causes, and work closely with data engineers to resolve issues. * Validate incremental loads, CDC logic, and historical data migrations. * Integrate automation tests with CI/CD pipelines. * Prepare test plans, test cases, defect reports, and execution summaries. Work Location: Karnataka, India Availability: Full time
Job Title: Applied Scientist II, Risk and Compliance Solutions (RCS) Company: Amazon Science Job Category: Machine Learning Roles & Responsibilities: You own problems from formulation to production: framing the science question with Compliance and 1LoD partners, designing experiments and backtests, building and validating models, and shipping them into the pipelines, reports, and tools that RCS teams use. The stack includes Amazon SageMaker, Amazon Bedrock, Amazon Redshift, and AWS Lambda, and your partners include data scientists, data engineers, business intelligence engineers, and software development engineers across RCS. Key job responsibilities * Formulate ambiguous compliance problems as ML and GenAI problems with Compliance and 1LoD partners, and choose methods that fit the data, the risk, and the audit standard * Develop risk models that learn from rare, delayed, and noisy labels to score which risks and control weaknesses convert to breaches, and calibrate them so a score carries a defensible meaning * Build GenAI systems that remove manual effort from requirement translation, control testing, and regulatory reporting, with human approval gates at every stage * Design the evaluation for every ML and GenAI system you ship: golden sets that compliance experts label, metrics suited to rare outcomes and generated text, and release criteria a system meets before Compliance relies on it * Deploy and monitor models in production with software development engineers, including drift detection, performance tracking against realized outcomes, and retraining criteria * Explain model decisions, quantify uncertainty, and document methodology so Compliance Officers, auditors, and examiners can trace how a system reached each output * Create reusable science components, such as feature sets, scoring services, and evaluation harnesses, so an approach that works in financial crime compliance extends to the next domain without a rebuild * Review peer models for statistical soundness, mentor data scientists and engineers on ML methods and experimental design, and publish or patent where the work and confidentiality allow About The Team Risk and Compliance Solutions (RCS) serves as a crucial safeguard for Amazon's buyers, brands, and selling partners while ensuring business teams meet their regulatory obligations. RCS operates as the second line of defense under the Three Lines of Defense (3LoD) model, providing specialized oversight, monitoring, and expertise while setting policies and procedures that guide Amazon's compliance framework. * Streamlined license acquisition that enables Amazon's financial services expansion * Management of existing business risks across the organization * Comprehensive governance, risk, and assurance services * Innovative solutions such as Compliance as a Service (CaaS) * A proactive, intelligence\-led framework for compliance operations Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Data Scientist Company: Cognite Job Category: Machine Learning Roles & Responsibilities: About The Role As a Senior Data Scientist at Cognite, you will work on challenging data problems with leaders in the industry. You will be a part of cross\-functional teams that include data engineers, solution architects, and project managers. Together, your focus will be on configuring, deploying, and operationalising digital solutions in sectors such as Oil \& Gas, Power \& Utilities, and Manufacturing. Additionally, you will engage with clients to understand their desired outcomes, lead discovery workshops, and provide insights on potential strategies and obstacles. The data science team is a part of the MENA delivery team in our global delivery organisation. We are a good mix of project managers, data scientists, data engineers and solution architects with domain expertise from oil and gas, power \& utilities and manufacturing. We are responsible for delivering successful projects that are flexible and scalable and foster adoption of our product. In sum, we derive valuable insights from previously hidden data, enabling workers and leaders to transform how heavy asset industries operate to become more efficient and sustainable. A typical day as a Cogniter will contain the following tasks \& responsibilities: * Develop and deploy scalable solutions for customer use cases from Oil and Gas, Manufacturing and Power \& Utilities industries using Cognite’s core capabilities * Participate in and contribute to intensive use case generation workshops with subject matter experts to understand the problem and how it maps to the data * Perform data cleansing, exploratory data analysis and data modelling. * Implement physical models / machine learning models in Python and deploy to our model hosting environment * Work on an agentic AI solution to solve customers' use cases. * Utilize and contribute to solution templates and best practices within the Data Science team * Collaborate with data engineers, project managers and solution architects on project deliveries to enable our customers to achieve the full potential of our industrial dataops platform * Support customers and partners in conducting data science tasks with Cognite products Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Machine Learning-AI and Data Science Engineer III Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Level: AI and Data Science Engineer III As an experienced AI and Data Science Engineer III at Deloitte Consulting, you will design, develop, and deploy enterprise\-scale software solutions, lead the creation of robust pipelines and manage code deployment across environments. You will collaborate with cross\-functional, global teams to translate functional requirements into effective deliverables, independently guiding and mentoring junior team members. Your role spans the full project lifecycle, including estimation, planning, execution, and tracking key metrics for analysis, ensuring high\-quality and timely delivery of solutions. Work you’ll do: Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross\-functional teams. Design templates or scripts to automate routine development or operational tasks. The team: AI \& Data offers a full spectrum of solutions for designing, developing, and operating cutting\-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively. * Design and modernize large\-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing * Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions * Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As\-a\-Service models to ensure continuous insights and enhancements. \#FY27ReferralCampaign \#2027\AI\&E\Dscreen \#AI\&DATAROLESAUGUST29 \#AID2026 Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state\-of\-the\-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: TTT - Python Full Stack - Staff Company: EY Job Category: Machine Learning Roles & Responsibilities: Job Description: As a Staff/Senior Python Developer, you will be responsible for designing, developing, and implementing robust applications and solutions using Python. You will work closely with cross\-functional teams to deliver high\-quality software that meets business needs. Key Responsibilities: * Develop and maintain scalable applications using Python and relevant frameworks (Flask, Django). * Utilize libraries such as Pandas and Numpy for data manipulation and analysis. * Implement data visualization techniques to present insights effectively. * Apply Natural Language Processing (NLP) techniques to extract meaningful information from text data. * Work with Optical Character Recognition (OCR) technologies to process and analyze images and documents. * Design and implement machine learning and deep learning models, including neural networks. * Collaborate with DevOps teams to set up CI/CD pipelines and manage ML Ops on Azure. * Leverage Azure services for deploying and managing machine learning models, including LLM using OpenAI. * Participate in code reviews, mentoring junior developers, and ensuring best practices in software development. Work Location: Karnataka, India Availability: Full time
