Job Title: AI/ML Engineer Company: Optum India Job Category: Machine Learning Roles & Responsibilities: Optum is a global organization that delivers care, aided by technology to help millions of people live healthier lives. The work you do with our team will directly improve health outcomes by connecting people with the care, pharmacy benefits, data and resources they need to feel their best. Here, you will find a culture guided by inclusion, talented peers, comprehensive benefits and career development opportunities. Come make an impact on the communities we serve as you help us advance health optimization on a global scale. Join us to start Caring. Connecting. Growing together. Primary Responsibilities * Design, develop, and implement AI/ML and Generative AI solutions supporting Core Claims initiatives including Duplicate Overpayments, Fraud, Waste \& Abuse (FWA) Disputes, and First Pass Claims * Develop and deploy Large Language Model (LLM) powered applications, prompt engineering solutions, and Retrieval\-Augmented Generation (RAG) frameworks * Apply AI techniques to automate claims workflows including classification, intelligent routing, document understanding, decision support, and operational triage * Collaborate with engineering, product, analytics, and business teams to build scalable AI solutions that address complex business challenges * Develop frameworks for model evaluation, performance testing, validation, and continuous improvement * Partner with data science and engineering teams on feature engineering, model deployment, inference optimization, and production support * Ensure adherence to Responsible AI practices, including explainability, governance, fairness, and model validation standards * Identify opportunities to improve operational efficiency through AI\-driven automation and intelligent decision\-making * Stay current with advancements in Artificial Intelligence, Generative AI, Large Language Models, and related technologies * Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re\-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment). The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so Work Location: Hyderabad, Telangana, India Availability: Full time
Job Title: Distinguished AI Engineer Company: Capital One Job Category: Machine Learning Roles & Responsibilities: In this role, you will: * Partner with a cross\-functional team of engineers, research scientists, technical program managers, and product managers to deliver AI\-powered products that change how our associates work and how our customers interact with Capital One. * Design, develop, test, deploy, and support AI software components including foundation model training, large language model inference, similarity search, guardrails, evals engine, experimentation, governance, and observability, etc. * Leverage a broad stack of Open Source and SaaS AI technologies such as AWS Ultraclusters, Huggingface, VectorDBs, Nemo Guardrails, PyTorch, and more. * Invent and introduce state\-of\-the\-art LLM optimization techniques to improve the performance — scalability, cost, latency, throughput — of large scale production AI systems. * Devise novel context generation techniques that optimize cost / quality trade\-offs. * Design and implement capabilities for automated monitoring, anomaly detection and RCA for multi\-turn and headless agentic applications. * You will collaborate with lines of businesses to design and implement high value agentic applications * Finally you will coach and evangelize, mentoring Staff, Principal and Senior engineers, authoring technical design documents and blogs and representing Capital One at Tier1 AI conferences. Preferred Qualifications: * 10\+ years of experience deploying scalable and responsible solutions on cloud platforms (e.g. AWS, Google Cloud, Azure, or equivalent private cloud) * 4\+ years of experience architecting, designing, developing, integrating, delivering, and supporting complex AI systems * 6\+ years of experience developing AI and ML algorithms or technologies (e.g. LLM Inference, Similarity Search and VectorDBs, Guardrails, Memory) using Python, C\+\+, C\#, Java, or Golang * 2\+ years of experience with Agentic frameworks (LangChain, CrewAI, AutoGen etc.) * 2\+ years of experience leading GenAI or LLM\-Powered application architectures in production * 2\+ years of experience developing and applying state\-of\-the\-art techniques for optimizing training and inference software to improve hardware utilization, latency, throughput, and cost * 2\+ years of experience with Observability and Evals for agentic applications * Passion for staying abreast of the latest AI research and AI systems, and judiciously apply novel techniques in production * Demonstrated ability to lead and mentor multiple engineering teams and influence cross\-functional stakeholders up to the VP level * Excellent communication and presentation skills, with the ability to articulate complex AI concepts to peers * Master’s or Ph.D in Computer Science, Computer Engineering, especially in AI/ML areas. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Work Location: Bengaluru, Karnataka, 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: Manager - Manufacturing Intelligence Company: Pfizer Job Category: Machine Learning Roles & Responsibilities: At Pfizer, technology impacts everything we do. Our digital and 'data first' strategy focuses on implementing impactful and innovative technology solutions across all functions, from research to manufacturing. By digitizing drug discovery and development, identifying solutions, or making our work easier and faster, you will be making a difference to countless lives. Your dedication and hard work will be instrumental in helping Pfizer achieve new milestones and make a positive impact on patients worldwide. ### Role overview The Manufacturing Intelligence and Technology Transformation (MITT) team within Pfizer’s Global Technology, Engineering and Launch organisation develops and deploys advanced manufacturing capabilities across Pfizer Global Supply. These capabilities include artificial intelligence and machine learning, soft sensors, advanced process control and agentic AI solutions. The Data Science Manager will develop and implement advanced AI and process\-modelling solutions in complex pharmaceutical manufacturing environments. This individual contributor role will focus on large language models, agentic systems, real\-time soft sensors and advanced process control to generate actionable insights and support continuous improvement across manufacturing and quality operations. ### Responsibilities * Contribute technical expertise to high\-impact analytics, modelling and optimisation projects. * Identify high\-value applications for advanced analytics, advanced process control, AI, machine learning, large language models, agentic AI and the Industrial Internet of Things. * Design and deploy fit\-for\-purpose solutions for pharmaceutical manufacturing environments. * Develop mathematical models, machine\-learning systems and LLM\-enabled agentic workflows, and support their implementation in GMP environments. * Apply engineering principles, modelling tools and experimental methods to data\-rich laboratory, pilot and manufacturing systems. * Improve process understanding and enable real\-time process monitoring and control. * Collaborate with cross\-functional teams and key stakeholders, communicate progress clearly and drive projects to timely completion. * A PhD with at least 2\-2 years of experience or Masters with 5\-2 years of experience in engineering, mathematics, computer science, or related discipline. * Expertise in first\-principles modelling, including thermodynamics, reaction modelling and heat and mass transfer. * Experience developing hybrid and practical process models for real\-time applications. * Experience with cloud\-based development platforms such as AWS SageMaker. * Familiarity with cloud data warehouses such as Snowflake or Redshift and relational databases using SQL. * Hands\-on experience with deep learning and latent variable models for time\-series monitoring, anomaly detection, and automated root\-cause analysis. * Experience integrating LLMs into real\-time decision\-support systems or user\-facing agentic applications. * Proficiency with visualisation and dashboard tools such as Streamlit, Plotly or Spotfire. Work Location Assignment: Hybrid Work Location: Chennai, India Availability: Full time
Job Title: Applied AI Engineer Sales Force - Software Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Summary Position Summary Applied AI Engineer I Role Overview: As a Salesforce Applied AI Engineer I , you will actively engage in your engineering craft, taking a hands\-on approach to building and enhancing high\-visibility, full\-stack products that serve the business and its users. Your expertise will be pivotal in delighting customers and users, while driving tangible value across Deloitte’s product and AI investments. You will leverage your extensive engineering craftsmanship across full\-stack software engineering and modern frameworks—together with applied AI fluency that lets you build GenAI and agentic capabilities directly into the products you deliver—consistently demonstrating your strong track record in delivering high\-quality, outcome\-focused solutions. The ideal candidate will be a dependable team player, collaborating with cross\-functional teams to design, build, and ship products end to end, from concept through production. Key Responsibilities: * Embrace and drive a culture of accountability for customer and business outcomes—and for the cost of achieving them. Develop engineering solutions that solve complex problems with valuable outcomes, ensuring high\-quality, lean designs and implementations, and owning the inference, token, and cloud cost of what you build. * Serve as the technical advocate for products, ensuring code integrity, feasibility, and alignment with business and customer goals. Lead requirement analysis, component design, development, testing, integrations, and support. * Maintain accountability for code\-design integrity, implementation fidelity to architecture and tech stack, quality, data, and ongoing maintenance and operations. Be hands\-on, self\-driven, and continuously learn new approaches, languages, and frameworks. Create technical specifications, and write high\-quality, supportable, scalable code ensuring all quality KPIs are met or exceeded. Demonstrate collaborative skills to work effectively with diverse teams. * Develop lean engineering solutions through rapid, inexpensive experimentation to solve customer needs. Engage with customers and product teams before, during, and after delivery to ensure the right solution is delivered at the right time. * Adopt a mindset that favors action and evidence over extensive planning. Utilize a leaning\-forward approach to navigate complexity and uncertainty, delivering lean, supportable, and maintainable solutions. * Work collaboratively with empowered, cross\-functional teams including product management, experience, and delivery. Integrate diverse perspectives to make well\-informed decisions that balance feasibility, viability, usability, and value. Foster a collaborative environment that enhances team synergy and innovation. * Possess expertise in modern software engineering practices and principles, including AI and Agentic SSDLC to deliver daily product deployments using full automation from discovery to production to operations with all quality checks through SSDLC lifecycle. Strive to be a role model, leveraging these techniques to optimize solutioning and product delivery. Demonstrate strong understanding of the full lifecycle product development, focusing on continuous improvement and learning. * Quickly acquire domain\-specific knowledge relevant to the business or product. Translate business/user needs, architectures, and UX/UI designs into technical specifications and code. Be a valuable, flexible, and dedicated team member, supportive of teammates, and focused on quality and tech debt payoff. * Exhibit exceptional communication skills, capable of articulating complex technical concepts clearly and compellingly. Inspire and influence teammates and product teams through well\-structured arguments and trade\-offs supported by evidence. Create coherent narratives that align technical solutions with business objectives. * Engage and collaborate with product engineering teams at all organizational levels, including customers as needed. Build and maintain constructive relationships, fostering a culture of co\-creation and shared momentum towards achieving product goals. Align diverse perspectives and drive consensus to create feasible solutions. The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost\-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte’s primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom\-line results and outcomes. It helps power Deloitte’s success. It is the engine that drives Deloitte, serving many of the world’s largest, most respected companies. We develop and deploy cutting\-edge internal and go\-to\-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence. 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: MS - FDL - Senior Manager - AI Architect Company: EY Job Category: Machine Learning Roles & Responsibilities: Job Title: Senior Manager – AI Architect We are looking for a highly skilled and experienced Senior Manager – AI Architect to lead the strategy, architecture, and governance of enterprise AI solutions supporting data products and corporate finance transformation. This role combines AI/ML architecture, technical leadership, and people management, translating business needs into secure, scalable, and responsible AI solutions. The ideal candidate will integrate predictive machine learning, generative AI, and appropriately controlled agentic workflows with enterprise applications and data to enable transformation across P2P, O2C, R2R, and FP\&A. You will own AI architecture quality and technology roadmaps across engagements, lead architects and technical specialists, and partner with data science, engineering, product, security, risk, and business teams to guide solutions from discovery through production adoption and measurable value realization. Responsibilities: AI Strategy \& Architecture Leadership * Provide architecture oversight across AI initiatives, defining acceptance criteria, technical dependencies, delivery risks, and stage gates from experimentation through production readiness. * Partner with engineering and platform teams to establish MLOps and LLMOps practices, including versioned datasets, models and prompts, reproducible evaluation, deployment controls, and rollback. * Define task\-specific evaluation frameworks covering predictive performance, groundedness, retrieval quality, hallucination risk, robustness, fairness where relevant, latency, and cost; validate against representative test data and business baselines. * Design production monitoring for data and model drift, output quality, reliability, usage, and inference spend; establish fallback behavior, incident response, and controlled model or provider updates. * Embed responsible AI, privacy, security, and applicable compliance controls with risk and legal teams, including data provenance, audit trails, prompt\-injection defenses, sensitive\-data protection, and risk\-based human oversight. Team Leadership \& Talent Management * Lead and scale an AI architecture team, coordinating data scientists, ML engineers, data engineers, and application specialists across engagements; develop architects and technical leads. * Build an inclusive, high\-performance AI practice focused on rigorous experimentation, responsible innovation, reusable knowledge, and measurable business outcomes. * Own hiring, resource planning, performance management, succession planning, and capability development aligned with AI delivery demand and evolving technology needs. * Mentor architects and technical specialists on AI design, evaluation rigor, production readiness, stakeholder influence, and career growth; strengthen peer reviews and communities of practice. Business \& Stakeholder Management * Partner with finance transformation leaders, product owners, and clients to identify AI opportunities, clarify process constraints, and define measurable success criteria. * Present AI solution options, limitations, investment needs, and risk trade\-offs to decision\-makers; align expectations on automation boundaries, human review, and business value. * Lead AI architecture inputs for proposals, RFP responses, and demonstrations, including solution narratives, prototypes, estimates, data requirements, and implementation assumptions. * Communicate architecture decisions, evaluation results, residual risks, adoption readiness, and realized business impact clearly to executive and technical audiences. * Develop reusable AI reference designs, evaluation suites, retrieval components, model integration patterns, and governance templates to accelerate consistent delivery. * Assess emerging AI capabilities through structured experiments and business cases; scale only where evidence supports performance, operational feasibility, and acceptable risk. * Enable finance\-focused capabilities such as document intelligence, knowledge assistants, forecasting, and anomaly detection, with traceable outputs and controls appropriate to each use case. Leadership \& Behavioral Skills * Strong people leadership, practice development, and coaching skills, with the ability to lead architects and influence data science, engineering, and business teams. * Excellent stakeholder management and communication skills, including executive\-level engagement and the ability to explain AI capabilities, limitations, and risks without overstating results. * Ability to balance AI strategy with pragmatic implementation, challenge assumptions using evidence, and make sound decisions amid rapidly evolving technology. * High ownership mindset focused on responsible AI adoption, production reliability, solution quality, and measurable business outcomes. Work Location: Karnataka, India Availability: Full time
Job Title: Staff Machine Learning Engineer Company: Warner Bros. Discovery Job Category: Machine Learning Roles & Responsibilities: Roles \& Responsibilities * Own the architecture and roadmap of the model serving runtime, supporting multiple ML frameworks and inference engines behind one control plane * Lead large\-scale migrations and rollouts of production models onto the platform with zero viewer\-facing regressions * Build and maintain serving backends, model configurations and batching strategies that meet strict tail\-latency targets at high request volume * Design autoscaling, capacity management and multi\-region resilience for latency\[1]critical serving across Max, Discovery\+ and other WBD offerings * Drive observability, cost optimization and performance tuning across the serving fleet, including hardware selection, GPU and CPU utilization, and model optimization * Define the contract between model training and serving so a validated model artifact deploys to production through standard, automated paths * Establish per\-model SLOs with model owners and build the telemetry that proves them * Collaborate with applied scientists, partner engineering teams and the core infrastructure team as the platform onboards new models, runtimes and markets * Author, test, review and optimize production\-level code in Python while executing best practices in version control, CI/CD and code integration * Take part in the platform on\-call rotation and lead incident reviews that result in design changes, not just fixes * Contribute design documents and technical documentation to support architecture decisions, knowledge transfer and sharing * Mentor engineers, raise the bar in design and code reviews, and represent the platform in cross\-team architecture decisions * 9\+ years of industry experience * 5\+ years of experience building or operating production ML infrastructure or comparable low\-latency, large\-scale distributed systems with a large customer base * Hands\-on experience running model inference in production at scale * Strong Kubernetes fundamentals and experience running GPU and CPU workloads on it * Proven performance engineering skills: profiling, tail\-latency analysis, batching and concurrency under load * 7\+ years of programming experience in Python, plus working fluency in a systems language such as C\+\+, Go or Rust * Good practical knowledge of the modern machine learning lifecycle, from training artifacts through deployment, rollout and monitoring * Strong architectural and design skills, with a track record of leading multi\-quarter technical initiatives across teams * Operational maturity: experience owning a tier\-1 service, including on\-call * Experience with one of the cloud platforms AWS/GCP/Azure, Docker and Kubernetes, and CI/CD tools like GitHub Actions, Jenkins etc. * Excellent written and verbal communication skills; comfortable contributing to technical documentation and on\-call support * Ability to technically collaborate with partners across time zones We embrace the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit. In line with the laws of the country or region in which the role is based, this includes consideration without regard to race, color, ethnicity, national origin, citizenship status, religion or belief, sex, gender, gender identity or expression, sexual orientation, age, marital status, pregnancy, parenthood, physical or mental disability, genetic information, military or protected veteran status, union status or any other category protected by applicable law. Work Location: Karnataka, India Availability: Full time
Job Title: Risk Analyst Company: EY Job Category: Machine Learning Roles & Responsibilities: Within Information Security we blend risk strategy, digital identity, cyber defense, application security and technology solutions as we consider the entire security lifecycle. You will join a team of hardworking, security\-focused individuals dedicated to supporting, protecting, and enabling the business through innovative, secure solutions that provide speed to market and business value. The Technology Assurance, Risk, and Policy (TARP) function within Information Security strives to create and promote a holistic Governance, Risk, and Compliance (GRC) program by creating a robust, resilient, and proactive governance framework, supported by a strategic risk management approach and stringent compliance structures. It aims to integrate and align its GRC initiatives in line with the global firm’s objectives and emerging threats within the cybersecurity landscape. Furthermore, the Policy, Risk, and Controls (PRC) Enablement \& Awareness team aims to manage the human element of risk through Human Risk Management, which involves security awareness, training, culture, and behavior management. Your key responsibilities The Global Behavioral Analytics \& AI Specialist sits within the Human Risk Management function and leverages artificial intelligence, data science, and behavioral science to measure, model, and manage human risk across EY. This role is the analytical and AI engine behind the security culture program—turning behavioral signals, engagement data, and risk indicators into insight that helps the organization understand why people behave the way they do and how to manage those behaviors at scale. Reporting to the Global Security Culture and Engagement Lead, this individual will partner across the awareness, learning, training, and simulation teams to build the metrics, models, and AI\-enabled capabilities that quantify culture and behavior change. Beyond measurement, they will act as an AI\-forward thought partner for the entire Human Risk Management team—identifying practical, responsible ways to apply AI both for intelligence and for service delivery. Key responsibilities include * Maintain and optimize a human risk measurement framework, defining the metrics and indicators that quantify security behaviors, culture, engagement, and human risk across the organization. * Leverage AI to analyze behavioral data, identify patterns and human risk indicators, and model or predict where risky behaviors are most likely to occur. * Work with stakeholders to consolidate data from across the Human Risk Management program into reporting that tells a clear, connected story. * Serve as the AI\-forward thought partner for the Human Risk Management team, identifying responsible and practical ways to apply AI for both intelligence (measurement, prediction, insight) and service offerings (e.g., AI\-powered solutions that reinforce secure behaviors). * Partner with the Security Culture and Engagement Lead to translate behavioral insight into targeted interventions, campaigns, and reinforcement strategies. * Develop executive\-ready reporting, visualizations, and recommendations that communicate human risk trends, program effectiveness, and return on investment to senior stakeholders. * Design and analyze surveys, assessments, experiments, and A/B tests to evaluate the impact of behavior change initiatives and continuously improve them. * Ensure that data and AI are used responsibly, ethically, and in line with EY privacy, data protection, security, and governance requirements. * Stay informed on developments in behavioral science, data science, AI, and human risk measurement, bringing new methods and innovation into the program. We’re looking for someone who can collaborate globally with different regions and cultures. Problem\-solves, thinks creatively, and has an open mind to new insights. Focus on customer service and building positive relationships with colleagues both across teams and globally. A highly motivated, diligent, and driven individual who seeks development and improvement opportunities and deliver quality services. As part of this role, you will work in a highly coordinated, globally diverse team with the opportunity and tools to grow, develop and drive your career forward. Here, you can combine global opportunity with flexible working. The EY benefits package goes above and beyond too, focusing on your physical, emotional, financial, and social well\-being. Your recruiter can talk to you about the benefits available in your country. Here’s a snapshot of what we offer: * Continuous learning: You will develop the mindset and skills to navigate whatever comes next. * Success as defined by you: We will provide the tools and flexibility, so you can make a significant impact, your way. * Transformative leadership: We will give you the insights, coaching and confidence to be the leader the world needs. * Diverse and inclusive culture: You will be accepted for who you are and empowered to use your voice to help others find theirs. Work Location: Bengaluru, India Availability: Full time
Job Title: AI and ML Engineer Company: Sandisk Job Category: Machine Learning Roles & Responsibilities: Sandisk meets people and businesses at the intersection of their aspirations and the moment, enabling them to keep moving and pushing possibility forward. We do this through the balance of our powerhouse manufacturing capabilities and our industry\-leading portfolio of products that are recognized globally for innovation, performance and quality. Description We are seeking a talented AI/ML Engineer in Data and AI team to drive the design, development, and operationalization of machine learning and GenAI solutions across Sandisk's enterprise. In this role, you will own end\-to\-end AI/ML projects, from problem framing and data strategy through model deployment and monitoring. You will partner directly with business stakeholders to translate complex requirements into scalable, production\-grade solutions and mentor junior engineers on the team. Key Responsibilities * Design, develop, and implement machine learning models and statistical analyses to address manufacturing, supply chain, and product quality challenges. * Conduct exploratory data analysis and present actionable insights and recommendations to stakeholders. * Develop prompt engineering strategies and feedback loops for LLM optimization; capture and normalize LLM interactions into reusable Knowledge Artifacts. * Implement Retrieval\-Augmented Generation (RAG) pipelines, including document parsing, chunking, vectorization, and semantic search using embeddings and vector databases. Support domain\-specific ontologies, taxonomies, governance and versioning. * Support agentic workflows using industry\-standard frameworks for autonomous task orchestration and multi\-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths. * Contribute to establishing and maintaining data quality standards, implementing validation frameworks and monitoring systems. * Support the deployment and monitoring of machine learning models in production environments, including performance tracking and drift detection. * Stay current with emerging data science technologies, methodologies, and industry trends, evaluating their applicability to organizational needs. * Support end\-to\-end project delivery, ensuring timely completion and alignment with business objectives. * Experience with Large Language Models (LLMs), prompt engineering, and GenAI application development. * Familiarity with vector databases, embedding models, and semantic search architectures. * Experience building agentic AI workflows and multi\-LLM orchestration systems. * Hands\-on experience with data visualization and business intelligence tools such as Tableau, Power BI, or equivalent platforms. * Experience using version control systems (Git) and collaborative software development practices. * Experience deploying, monitoring, or maintaining machine learning models in production environments. * Familiarity with cloud platforms (Azure, AWS, or GCP) and Lakehouse architectures (e.g., Databricks). Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: AI Apprentice Company: Siemens Healthineers Job Category: Machine Learning Roles & Responsibilities: We're looking for a curious, motivated AI Intern to join our team. This is a hands\-on role where you'll work alongside engineers and researchers on real AI/ML projects, from prototyping models to deploying them. You'll gain exposure to the full lifecycle of building AI products and have the opportunity to ship work that goes into production. * Assist in building, training, and evaluating machine learning and deep learning models * Work with large language models (LLMs) — prompt engineering, fine\-tuning, RAG pipelines, or agentic workflows * Clean, preprocess, and analyze datasets to support model development * Write clean, well\-documented Python code and contribute to internal tools and APIs * Help benchmark model performance and run experiments to improve accuracy and efficiency * Read recent AI research papers and share insights with the team * Collaborate with product, engineering, and design teams to integrate AI features into our products How we work: When you join Siemens Healthineers, you become one in a global team of scientists, clinicians, developers, researchers, professionals, and skilled specialists, who believe in each individual’s potential to contribute with diverse ideas. We are from different backgrounds, cultures, religions, political and/or sexual orientations, and work together, to fight the world’s most threatening diseases and enable access to care, united by one purpose: to pioneer breakthroughs in healthcare. For everyone. Everywhere. Sustainably. Work Location: Pune, India Availability: Full time
