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: Sr. AI Development Engineer Company: BMW TechWorks India Job Category: Machine Learning Roles & Responsibilities: Role Sr. AI Development Engineer * 8\-0-2 years of experience in Artificial Intelligence, Machine Learning, Data Science, or Software Engineering, with a strong focus on Generative AI solution development and deployment. * Proven experience designing, building, and deploying production\-grade Agentic AI applications and multi\-agent systems at enterprise scale. * Demonstrated success delivering end\-to\-end AI solutions, from ideation and architecture through deployment, monitoring, and continuous improvement. * Experience leading AI initiatives, collaborating with cross\-functional stakeholders, and mentoring engineering teams. * Strong experience implementing MLOps best practices, including model versioning, monitoring, observability, governance, and lifecycle management. * Experience managing and optimizing AI systems in production environments, ensuring scalability, reliability, security, and performance. * Familiarity with AI application monitoring, evaluation frameworks, and cost optimization strategies for cloud\-based AI workloads. Leadership \& Collaboration * Proven ability to lead technical design discussions and drive AI solution architecture decisions. * Experience mentoring junior engineers and fostering engineering excellence within teams. * Strong stakeholder management, communication, and presentation skills. * Ability to operate effectively in a fast\-paced, agile, and globally distributed engineering environment. * Business fluent in English (written and spoken). 2\+ years leading engineering teams or features. * Python \+ FastAPI expertise. * Experience with TensorFlow, PyTorch, LangChain, LangGraph, DSPy. * Experience in Langgraph, langchain, n8n etc. * RAG architecture implementation experience. * Cloud (AWS/Azure), Docker, and Kubernetes exposure. * Experience with n8n, MCP, and agent architectures. Work Location: Bengaluru, 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 Scientist Company: Prodapt Job Category: Machine Learning Roles & Responsibilities: We are hiring a Data Scientist with 5\+ years of experience in Machine Learning and Generative AI to support an enterprise analytics and AI transformation project in the telecommunications industry. Telecom experience is preferred but not mandatory, and strong candidates from other industries are encouraged to apply. Responsibilities: Role Purpose The successful candidate will design, build, evaluate, and deploy ML models and GenAI applications that solve real business problems. The work spans predictive analytics on structured and unstructured data, LLM\-powered applications with Retrieval\-Augmented Generation (RAG), and production\-ready AI solutions delivered in close collaboration with engineering, platform, and business teams.Key Responsibilities* Data Science \& ML: Build and validate predictive models (classification, regression, clustering, forecasting, anomaly detection) and operationalize them through scalable pipelines. * Generative AI: Develop enterprise GenAI applications using leading LLMs, implementing RAG, embeddings, vector search, and prompt engineering, with attention to accuracy, groundedness, and cost. * Agentic AI (strong advantage): Build tool\-enabled, multi\-step AI agents using frameworks such as LangGraph, CrewAI, or Google ADK, with human\-in\-the\-loop controls and reliability monitoring. * MLOps / LLMOps: Move solutions from experimentation to production, covering APIs, versioning, monitoring, CI/CD, and cloud AI platforms (AWS Bedrock, Azure AI Foundry, Google Vertex AI). * Stakeholder Engagement: Translate business needs into measurable AI use cases and communicate results and limitations clearly to technical and non\-technical audiences. Work Location: Bengaluru, India Availability: Full time
Job Title: Lead Machine Learning Engineer Company: Bain & Company Inc Job Category: Machine Learning Roles & Responsibilities: You’ll join our Machine Learning and Data Science experts within the Applied Tech \& AI 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. ABOUT YOU Work Location: Bengaluru, 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: Associate Deployment Engineer - Galaxy Graduate Program Company: Celonis Job Category: Machine Learning Roles & Responsibilities: Celonis is the trusted platform to industrialize Enterprise AI. At our core is the Celonis Context Model — which combines process data, business knowledge, and intelligence into a living digital twin of the enterprise that AI can actually understand, turning AI's operational blind spots into operational clarity. World's leading companies trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. We believe there's a massive opportunity to unlock global productivity and sustainability by giving AI the context to understand how every business process really works. Join our mission to make processes work for people, companies, and the planet. The Team Celonis makes processes work for people, companies, and the planet. As the Celonis Services organization, we are the strategic implementation consulting \& transformation arm of a unified Customer Organization aligned to four core mandates: We deliver production\-ready Celonis Platform implementations that drive measurable top, bottom, and green\-line impact. Moving beyond “point\-in\-time” analysis, we utilize a Discover\-and\-Build approach to solve the world's most complex operational challenges. We don't just implement AI for our customers; we live it. Our project delivery lifecycle is accelerated by state\-of\-the\-art AI augmentation , allowing our consultants to focus on high\-level, strategic problem\-solving. By serving as the eyes and ears in the field, we maintain a continuous innovation loop with our Product \& Engineering teams, ensuring our frontline learnings directly shape the future of the Celonis Platform. The Role As an Associate Deployment Engineer within the Galaxy Graduate Program , you will support the end\-to\-end Discover\-and\-Build journey for our global customers. The Galaxy program unites Celonauts across different locations into one dedicated onboarding program which develops recent graduates into well rounded, skilled Services professionals in 12 months. As part of a consulting team, collaborating with more experienced consultants, you will bridge the gap between complex data landscapes and strategic business value. This role is designed for high\-potential university graduates who possess a Business\-Critical Mindset and the ability to understand how technical solutions can impact customer operations and improve efficiency, resulting in platform adoption and long\-term ROI for our customers. * Support Strategic Implementations: Support the implementation of Celonis Platform as a business\-critical tool by connecting customer data to actionable strategic outcomes. * Execute Discover\-and\-Build: As part of a project team, participate in process mining discovery activities, data transformation (SQL/Python), and the creation of AI\-driven analyses to identify execution gaps. * AI\-Forward Solutioning: Leverage your technical background to build and deploy AI\-forward solutions, utilizing Machine Learning and LLM integrations for our most strategic customers. * Stakeholder Engagement: Actively participate in discovery and requirement workshops, practicing a consulting mindset to communicate technical findings to business stakeholders and continue building the solution with a strong customer centric mindset. * Operational Excellence: Contribute to project speed and efficiency by maintaining high\-quality documentation and ensuring Built\-in Quality Control in every line of code or analysis produced. * Cross team collaboration: Have the opportunity to collaborate with various teams within the Celonis organization, including but not limited to: + Business Analytics, Academy and Global Programs + Business Apps \& Product and Engineering + Solution Architecture \& Celonis Support What Celonis can offer you: * Pioneer Innovation: Work with the global leader in Process Mining and the Process Intelligence Graph to shape the future of AI\-driven business operations. * Ownership from Day 1: Every full\-time Celonaut is an owner, receiving Restricted Stock Units (RSUs) and merit\-based refresh grants. * Unrivaled Family Support: Benefit from our inclusive parental leave policy—24 weeks of fully paid leave for primary carers and 12 weeks for supporting carers, available from your first day of employment. * Work\-Life Integration: Enjoy Unlimited PTO (in applicable regions) and generous PTO globally, as well as a flexible hybrid work model that balances remote focus with vibrant office collaboration. * Continuous Growth: Elevate your skills through our 70\-20\-10 learning framework, mentorship programs, and access to a dedicated learning platform. * Holistic Well\-being: Prioritize your health with subsidized Wellhub memberships, mental health counseling, and dedicated Wellness Weeks that prioritize work/life balance. * Drive Sustainability: Participate in annual Impact Days, where you receive paid time off to volunteer for community and environmental causes with your local office, or virtually. * Global Inclusion \& Belonging: Find community through our Inclusion Think Tank and participate in our annual Inclusion Days, ensuring every voice is heard and valued. * Value\-Driven Impact: Join a mission\-led organization where our core values—Live for Customer Value, The Best Team Wins, We Own It, and Earth Is Our Future—drive every decision. About Us: Celonis is the trusted platform to industrialize Enterprise AI, empowering organizations to analyze, design, and operate AI\-driven processes. The Celonis Platform is powered by the Celonis Context Model, which combines process data, business knowledge, and intelligence to create a living digital twin of the enterprise that AI can understand — turning AI’s operational blind spots into operational clarity. Industry\-leading companies around the world trust Celonis and its global ecosystem of partners to make their AI agents, people, systems, and processes work together, achieving transformational outcomes. Celonis is headquartered in Munich, Germany, and New York City, USA, with more than 20 offices worldwide. Use of Artificial Intelligence Tools We rely on an artificial intelligence tool to match the information from your resume to the relevant Celonis job descriptions. This processing is limited to the information provided in your resume or in your candidate profile. The tool produces a match score per candidate for a role, suggests preliminary ranking, and provides recommendations. The tool is only used for support in parts of the job application process, including to facilitate the identification of the relevant Celonis Jobs for candidates and recruiters. All final decisions are made by hiring managers and the Celonis talent acquisition team. Hiring managers and HR specialists use this tool responsibly, are aware of the risk of potential bias, and are equipped to mitigate it. Work Location: Greater Bengaluru Area Availability: Full time
