Job Title: Data Scientist Company: IMI Job Category: Machine Learning Roles & Responsibilities: Role Overview We are seeking a highly skilled and motivated Data Scientist with AI expertise and 6\+ years of experience to join the Digital Solutions team. The role will drive business value through advanced analytics, machine learning, artificial intelligence, and data\-driven decision support across enterprise processes. The successful candidate will partner with business stakeholders, data engineers, software developers, and digital transformation teams to identify opportunities, design AI\-powered solutions, and deploy scalable models into production. The role requires a strong blend of hands\-on data science, Generative AI, cloud technology, stakeholder engagement, and practical delivery experience. Key Responsibilities AI \& Machine Learning Development * Design, develop, and deploy machine learning and AI solutions to address complex business challenges. * Build predictive, prescriptive, and classification models using structured and unstructured data. * Develop and optimize Generative AI solutions, including LLM\-based applications, RAG architectures, AI assistants, and intelligent automation workflows. * Evaluate, monitor, and continuously improve model performance and accuracy. Data Science \& Analytics * Perform exploratory data analysis to identify trends, opportunities, and business insights. * Develop statistical models and advanced analytical solutions to support strategic decision\-making. * Translate business requirements into analytical frameworks and measurable outcomes. * Create dashboards, visualizations, and reports that communicate insights effectively to technical and non\-technical stakeholders. Data Engineering \& Solution Delivery * Collaborate with data engineering teams to establish scalable data pipelines and AI\-ready data platforms. * Ensure data quality, governance, and compliance standards are maintained across analytical solutions. * Support deployment, monitoring, and lifecycle management of AI and machine learning models. Stakeholder Management * Partner with business leaders to understand operational challenges and opportunities. * Present findings, recommendations, and AI roadmaps to leadership teams. * Provide technical guidance and mentoring to junior data scientists and analysts. * Collaborate with global teams and external partners to deliver data\-driven solutions. Communication \& Influencing * Excellent stakeholder management and presentation skills. * Ability to explain complex technical concepts to business audiences. * Strong written and verbal communication skills. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior AI/ML Engineer [T500-28124] Company: lululemon Job Category: Machine Learning Roles & Responsibilities: Core responsibilities: As a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems. You will build, deploy, scale and maintain AI/ML solutions. You will apply engineering best practices, implement rigorous evaluation frameworks, and design MLOps and observability standards. You will be the technical authority for ML engineering challenges from setting up model training and fine\-tuning to architectures and system design for serving AI/ML inference solutions in production. You will help drive AI/ML engineering excellence through mentorship, design reviews, and platform investment. In this role, you will own technical delivery and partner with applied scientists, software engineers, and product teams to realize AI capabilities into production. Select responsibilities include: * Lead delivery of applied AI/ML solutions, including data pipelines, model training and experimentation infrastructure, evaluation systems, production\-ready pipelines and APIs, and ML Ops for monitoring models or solutions in production. * Define ML engineering standards for model development, evaluation, and deployment; implement reusable training pipeline templates * Design and implement model evaluation systems and tooling including benchmark suites, human evaluation workflows, and online experiment platforms in partnership with applied science teams * Lead architecture and engineering of LLM and GenAI systems including RAG pipelines, fine\-tuning infrastructure, and agentic frameworks * Build and maintain AI observability frameworks covering model performance, data drift, training health metrics, and responsible AI monitoring * Build and operate distributed training pipelines for advanced ML and GenAI models * Implement scalable model serving architectures for real time and batch inference * Developing reusable MLOps components to support experimentation, deployment, monitoring, and rollback * Partner with AI/ML scientists to productionize models while meeting accuracy, performance, reliability, and responsible AI requirements * Acknowledge the presence of choice in every moment and take personal responsibility for your life. * Possess an entrepreneurial spirit and continuously innovate to achieve great results. * Communicate with honesty and kindness and create the space for others to do the same. * Lead with courage, knowing the possibility of greatness is bigger than the fear of failure. * Foster connection by putting people first and building trusting relationships. * Integrate fun and joy as a way of being and working, aka doesn’t take yourself too seriously. Work Location: Bengaluru, Karnataka, India Availability: Full time
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: Principal Core Infrastructure Engineer Company: Oracle Job Category: Machine Learning Roles & Responsibilities: As a Principal Core Infrastructure Engineer (AI/ML Forward Deployed Infrastructure Engineer), you will play a critical role in designing, implementing, and maintaining the infrastructure that supports our customers AI and machine learning initiatives. Your expertise will be crucial in optimizing our infrastructure for performance, reliability, and cost\-effectiveness. In this hands\-on technical role you’ll troubleshoot issues for proof of concept (POC) and production deployments. Work with OCI Strategic customers to grow our business in pre/post sales stages in a technical infra expert role. Design, deploy, and manage infrastructure components such as cloud resources, distributed computing systems, and data storage solutions to support AI/ML workflows. Implement automation solutions for provisioning, configuring, and monitoring AI/ML infrastructure to streamline operations and enhance productivity. Optimize infrastructure performance by tuning parameters, optimizing resource utilization, and implementing caching and data pre\-processing techniques. Ensure security and compliance standards are met throughout the AI/ML infrastructure stack, including data encryption, access control, and vulnerability management. Troubleshoot infrastructure performance, scalability, and reliability issues and implement solutions to mitigate risks and minimize downtime. Document infrastructure designs, configurations, and procedures to facilitate knowledge sharing and ensure maintainability. Act as a technical liaison between customers, core engineering teams, and support Familiarity with DevOps practices and tools for continuous integration, deployment, and monitoring (e.g., Jenkins, GitLab CI/CD, Prometheus). Core Responsibilities Strategic Thought Leadership: * Manages and coordinates moderately complex tasks, monitoring timelines and deliverables to ensure timely completion and adherence to requirements for a moderately sized project or initiative. Efficiently delegates, monitors, and prioritizes work across multiple projects, providing technical oversight and adjusting plans to address shifts in resources or timelines. * Collaborates across the organization to align on expectations and achieve shared objectives. Leverages understanding of business leaders, stakeholders, and/or customers to ensure proposed solutions meet their needs. Supports inclusivity by actively seeking and listening to diverse perspectives, ensuring others feel heard and respected. * Develops ideas, recommends updates, and/or collaborates on the implementation of process improvements to increase the efficiency and effectiveness of processes, protocols, and workflows across teams, and evaluates the impact on key stakeholders. Solicits feedback from others on ideas for alternative approaches and methods for continued improvement. Performance and Development: Work Location: Bengaluru, India Availability: Full time
Job Title: Data Science Consultant 1 - Machine Learning/ Data Science Company: Blue Yonder Job Category: Machine Learning Roles & Responsibilities: * Join one of the world’s leading AI\-driven supply chain solutions companies, recognized by Glassdoor as one of the “Best Places to Work.” * We are looking for a skilled individual with a strong foundation in statistical and analytical methods, who can also collaborate effectively with teams during deployment and operational phases. Expertise in implementing industry best practices is a plus. * As a Data Science Consultant, you will be a key player in onboarding clients onto Blue Yonder’s Luminate Planning suite of solutions and providing ongoing support through our Applied Data Science offering. * Our team currently consists of approximately 30 associates in India, part of a larger global team spanning the US and Germany, and is poised for rapid growth. Strong communication and leadership abilities are essential, as you will mentor junior team members. Work Location: Tamil Nadu, 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\-0-3 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: Haryana, 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: Mumbai, Maharashtra, India Availability: Full time
Job Title: Technical Lead – JavaScript Full Stack Developer Company: T7E Aftermarket Connect Pvt. Ltd. Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities Lead and mentor a team of 3–5 software engineers. Plan sprints, allocate tasks, and ensure timely project delivery. Design, develop, and maintain scalable web applications using Node.js and React.js Build secure, scalable, and high\-performance RESTful APIs. Design and optimize relational and NoSQL databases. Review code and enforce coding standards, security, and best practices. Collaborate with QA, UI/UX, DevOps, and business stakeholders. Participate in solution architecture and technical decision\-making. Estimate development efforts, allocate tasks, and monitor project progress. Troubleshoot production issues and optimize system performance. Ensure timely project delivery with high\-quality code. Support CI/CD pipelines, deployments, and production releases. Why Join Us? Lead a high\-impact engineering team building AI\-powered products. Own technical architecture and project delivery. Build scalable backend systems and production\-ready ML solutions. Work directly with business leaders on innovative customer engagement platforms. Grow into a senior Engineering Leadership role while staying hands\-on with technology. Work Location: Maharashtra, India Availability: Full time
Job Title: AI / ML Engineer, Systematic Equities Company: Alpha Alternatives Job Category: Machine Learning Roles & Responsibilities: Key Responsibilities: * Machine Learning Research and Development : Develop predictive models using forecasting, ranking and classification techniques. Evaluate suitable statistical, ensemble and deep\-learning methods for systematic investment applications. * Artificial Intelligence Applications : Build and evaluate AI research tools using natural language processing, large language models, embeddings, retrieval\-augmented generation and document intelligence. Extract relevant information from company filings, earnings transcripts, news and other datasets. * Feature Engineering and Model Evaluation : Develop and select features, design experiments and assess performance on unseen data. Address data leakage, overfitting, model stability and changing data behaviour. * Data and Research Infrastructure : Develop data collection and processing pipelines, reusable Python components, experiment tracking and reproducible research workflows. * Implementation and Monitoring : Support the transition of research into paper trading and production workflows, including model deployment, monitoring and maintenance. * Collaboration and Communication : Work closely with fund managers to translate investment questions into technical research. Communicate findings, model behaviour and limitations clearly through analysis and visualization. Work Location: Mumbai, Maharashtra, India Availability: Full time
