Job Title: Applied Scientist Company: Amazon.com Job Category: Machine Learning Roles & Responsibilities: Help millions of authors around the world get their books published, discovered, and supported. As one of the first scientists on our new team in Bengaluru, you'll help turn ideas into models authors rely on every day, building agentic solutions with large language models (LLMs), multimodal models, and fine\-tuning. Key job responsibilities * Build the multi\-agent system behind KDP's author support assistant: orchestration across specialized agents and tools, personalization, and the evaluation that drives its continuous improvement. * Build multimodal models of book attributes, and use them for similar\-book search across languages, catalog quality, and category and keyword recommendations. * Post\-train open models on KDP expertise (for example with supervised fine\-tuning and reinforcement learning), and deploy them where they beat general\-purpose models on accuracy, cost, or speed. * Work closely with our scientists in the US and with engineering partners to take your work to production, design rigorous offline and online experiments, and write clear readouts with recommendations. Kindle Direct Publishing (KDP) lets anyone publish a book. We are the science organization for Amazon's Books business, now building our science teams in Bengaluru. Our team works in three connected areas: a support assistant that answers authors' questions from their own account data, in every language KDP supports; multimodal models that use book attributes to keep the catalog trustworthy and help authors reach the right readers; and fine\-tuned models that power the assistant and catalog models with KDP expertise. We serve authors, from first\-time writers to full\-time publishers. You will work closely with engineering, product, and policy partners. We value safety before speed and shared foundations over one\-off fixes. Scientists here get dedicated time for innovation, which can lead to patents and conference papers.BASIC QUALIFICATIONS ------------------------ Work Location: Karnataka, India Availability: Full time
Job Title: AI / ML Engineer Company: Accenture in India Job Category: Machine Learning Roles & Responsibilities: Project Role : AI / ML Engineer Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on\-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing. As an AI / ML Engineer, your day involves designing and building advanced applications and systems that leverage artificial intelligence technologies and cloud services. You will work on integrating generative AI models into solutions, ensuring that these applications are production\-ready and scalable. Your role may also encompass developing deep learning models, neural networks, chatbots, and image processing systems, all while managing deployment pipelines either on cloud platforms or on\-premises environments. Collaboration with cross\-functional teams to align AI capabilities with business needs is a key part of your daily activities. Roles \& Responsibilities: * Expected to perform independently and become an SME. * Required active participation/contribution in team discussions. * Contribute in providing solutions to work related problems. * Collaborate with stakeholders to understand requirements and translate them into technical solutions. * Continuously monitor and optimize AI models and systems for performance and reliability. * Document processes and solutions to facilitate knowledge sharing within the team. * Support junior team members by providing guidance and sharing best practices. Work Location: Gurugram, Haryana, India Availability: Full time
Job Title: Staff AI/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 Staff 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 * Lead the end\-to\-end design, development, and deployment of machine learning models and GenAI solutions for manufacturing intelligence, yield optimization, supply chain analytics, and enterprise data platforms. * Architect and implement data pipelines, feature stores, and model serving infrastructure on Lakehouse and cloud\-native architectures (Databricks, Azure). * 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. * Architect Agentic Harness and Design workflows using industry\-standard frameworks for autonomous task orchestration and multi\-step reasoning, with safe and controlled execution via constraints, policies, and fallback paths. * Collaborate with cross\-functional teams to define KPIs, success metrics, and business impact measurements for AI/ML initiatives. * Mentor intermediate and junior engineers; conduct code reviews and establish best practices for ML engineering. * Present technical findings and strategic recommendations to senior leadership, distilling complex results into actionable business insights. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Staff Engineer - Design Verification Power Management Company: SiFive Job Category: Machine Learning Roles & Responsibilities: As the pioneers who introduced RISC\-V to the world, SiFive is transforming the future of compute by bringing the limitless potential of RISC\-V to the highest performance and most data\-intensive applications in the world. SiFive’s unrivaled compute platforms are continuing to enable leading technology companies around the world to innovate, optimize and deliver the most advanced solutions of tomorrow across every market segment of chip design, including artificial intelligence, machine learning, automotive, data center, mobile, and consumer. With SiFive, the future of RISC\-V has no limits.* Our constant innovation and ongoing success is down to our amazing teams of incredibly talented people, who collaborate and support each other to come up with truly groundbreaking ideas and solutions. Solutions that will have a huge impact on people's lives; making the world a better place, one processor at a time. Job Description: Key Responsibilities: * Lead the verification and optimization of our diverse RISC\-V Low Power Profiles, including UPF. * Drive and achieve quality closure targets at both the CPU and block levels. * Collaborate closely with microarchitecture and RTL design teams to optimize complex Power flows. * Provide technical leadership and mentorship to junior team members to foster team growth and enrichment. * Actively participate in the test planning and execution phases for new architecture and design features. * 10\+ Years of experience in low power or power aware or power management * Experience with hands on UVM Test Bench development is must * Experience in core uArch is highly desirable. * Experience in leading effort and driving multiple projects * Experience with power simulation on vcs and upf. * Experience with script writing in Python, Perl or Tcl. * Experience with power impact at architecture, logic design, and circuit levels. * Excellent problem solving skill and ability to work in a dynamic and diverse environment. Work Location: Karnataka, India Availability: Full time
Job Title: Data Science Consultant Company: Wells Fargo Job Category: Machine Learning Roles & Responsibilities: About this role: In this role, you will: * Participate in low\- to moderately complex initiatives by utilizing data\-driven, advanced analytical, and statistical techniques to identify trends, diagnose problems, and build actionable insights and recommendations. * Review and analyze business, operational, and technical assignments or challenges that require research, evaluation, and selection of alternatives to convert data into meaningful insights and recommendations. * Exercise independent judgment to guide medium\-risk business hypothesis generation. * Present recommendations and insights for resolving low\- to moderately complex business needs and problems; exercise independent judgment while developing expertise in analytical capabilities. * Collaborate and consult with functional colleagues, internal partners, and stakeholders to drive recommendations and strategies based on data\-driven analytical insights, trends, and patterns. * Conduct low\- to moderately complex predictive analytics to build actionable insights and recommendations. * Design and apply algorithms to mine large sets of structured and unstructured data from various sources. * Ensure data completeness, accuracy, and consistency through data cleaning and validation. * Interpret and analyze data using advanced analytical modeling methods and programming techniques to identify patterns that lead to recommendations, solve business problems, and influence business decisions and strategies. Employees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance\-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements. Wells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more. Work Location: Karnataka, India Availability: Full time
Job Title: Machine Learning-Lead AI and Data Science Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: * Implement large\-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud\-based platforms. * Leverage automation, cognitive and science\-based techniques to manage data, predict scenarios and prescribe actions. * Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As\-a\-Service offerings for continuous insights and improvements. Job Title: Manager Job Summary: We are looking for a Generative AI Team Lead with hands\-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: * Lead and deliver large\-scale AI/Gen AI projects across multiple industries and domains. * Liaison with on\-site and client teams to understand various business problem statements and project requirements. * Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data \& AI professionals to deliver projects from inception to implementation. * Brainstorm, build \& improve AI/Gen AI models developed by the team \& identify scope for model improvements \& best practices. * Assist and participate in pre\-sales, client pursuits and proposals. * Drive a human\-led culture of Inclusion \& Diversity by caring deeply for all team members. \#AI\&DATAROLESAUGUST29 \#AIE2027 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: Mumbai, Maharashtra, India Availability: Full time
Job Title: Senior Analyst Company: eClerx Job Category: Machine Learning Roles & Responsibilities: Role Summary ================ Key Responsibilities ======================== * Agentic system design: Architect and build single\- and multi\-agent systems with planning, tool use, memory, reflection, and human\-in\-the\-loop controls for complex business workflows. * LLM implementation: Integrate and optimize LLMs (Anthropic Claude, OpenAI GPT, Google Gemini, Llama, Mistral) via APIs * RAG pipelines: Design retrieval\-augmented generation solutions, including chunking, embeddings, hybrid search, re\-ranking, and vector database management. * Tool and integration layer: Implement function/tool calling and Model Context Protocol (MCP) servers to connect agents with enterprise systems, APIs, and data sources. * Prompt and context engineering: Develop robust prompts, system instructions, structured outputs, and context\-management strategies (including prompt caching) to maximize quality and cost efficiency. * Evaluation and observability: Build evaluation frameworks (golden datasets, LLM\-as\-judge, regression testing) and monitor agents for accuracy, latency, cost, hallucination, and drift. * Leadership: Mentor junior engineers, conduct code and design reviews, contribute to reusable accelerators, and support pre\-sales technical discussions and PoCs. Work Location: Maharashtra, India Availability: Full time
Job Title: AI Apprentice Company: Siemens Healthineers Job Category: Machine Learning Roles & Responsibilities: Job Description 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. What You'll Do * 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 District, Maharashtra, India Availability: Full time
Job Title: Machine Learning-Lead AI and Data Science Engineer II Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: * Implement large\-scale data ecosystems including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud\-based platforms. * Leverage automation, cognitive and science\-based techniques to manage data, predict scenarios and prescribe actions. * Drive operational efficiency by maintaining their data ecosystems, sourcing analytics expertise and providing As\-a\-Service offerings for continuous insights and improvements. Job Title: Manager Job Summary: We are looking for a Generative AI Team Lead with hands\-on experience to design, develop and deploy AI and Generative AI models that generate high quality content, such as text, images, chatbots, etc. The Ideal candidate will have expertise in deep learning, natural language processing, and computer vision. Key Responsibilities: * Lead and deliver large\-scale AI/Gen AI projects across multiple industries and domains. * Liaison with on\-site and client teams to understand various business problem statements and project requirements. * Lead a team of Data Engineers, ML/AI Engineers, Prompt engineers, and other Data \& AI professionals to deliver projects from inception to implementation. * Brainstorm, build \& improve AI/Gen AI models developed by the team \& identify scope for model improvements \& best practices. * Assist and participate in pre\-sales, client pursuits and proposals. * Drive a human\-led culture of Inclusion \& Diversity by caring deeply for all team members. \#AI\&DATAROLESAUGUST29 \#AIE2027 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: Chennai, Tamil Nadu, India Availability: Full time
Job Title: AMS-DE-AIOps-Engineer-Manager Company: EY Job Category: Machine Learning Roles & Responsibilities: Service line \- Position Title: TechOps – Digital Engineering Operations – AI Engineer \- Manager Global Delivery Services refers to EY's worldwide network of service delivery centers. The GDS team plays an important role in EY’s strategy by ensuring effective support to EY’s growth agenda. Client service is focused on providing Consulting, Assurance, Tax, Strategy \& Transactions, and Knowledge support to our clients around the world. The teams enable account teams worldwide to provide seamless, high\-quality, value\-added support, helping deliver exceptional client service. Enablement Services provides cost\-effective, high\-skilled, and innovative services to support EY’s global and local enablement teams. Markets, BMC, AWS, Finance and Accounting, Risk Management, Procurement, People Shared Services, IT Service Delivery and IT Global Infrastructure services, are among the services offered by Enablement Services. As a Manager in EY GDS Tech Ops practice, you will be responsible for hands\-on technical leadership, stakeholder collaboration, and delivery ownership, designing, and operationalizing intelligent AI agents and autonomous workflows that leverage LLMs, AI services, and enterprise integrations. The role requires strong expertise in AI engineering, automation, software development, and cross\-functional collaboration to deliver scalable, secure, and business\-impacting Agentic AI solutions. Your Key Responsibilities * Lead and manage a team of AI Engineers, Developers, and Solution Architects, providing technical guidance, coaching, mentoring, and career development support. * Create a high\-performance culture focused on innovation, accountability, collaboration, and continuous improvement. * Own end\-to\-end delivery of AI and automation engagements, ensuring quality, timelines, budget adherence, and stakeholder satisfaction. * Design, develop, and deploy Agentic AI solutions leveraging Large Language Models (LLMs), multi\-agent architectures, retrieval systems, and AI orchestration frameworks to automate complex business and engineering workflows. * Architect and implement AI\-powered autonomous workflows and intelligent agents capable of reasoning, planning, decision\-making, and executing tasks across enterprise systems. * Integrate LLMs, NLP, Computer Vision, and other AI/ML services into enterprise applications and platforms through APIs, SDKs, and cloud\-native architectures. * Identify, analyze, and transform repetitive and high\-value operational and engineering processes into scalable AI and automation solutions. * Develop custom applications, services, and automation logic using Python and modern AI frameworks to connect disparate systems and enable end\-to\-end workflow automation. * Collaborate with cross\-functional teams to define agent behaviors, tool integrations, guardrails, evaluation frameworks, and success metrics for AI solutions. * Monitor, maintain, troubleshoot, and continuously optimize AI agents and automated workflows to ensure reliability, scalability, security, and performance. * Establish technical standards, reusable components, best practices, and reference architectures for Agentic AI and automation implementations. * Create and maintain technical documentation, solution designs, operational runbooks, and deployment guidelines for AI\-powered automation solutions. * Collaborate closely with AI Platform, Engineering, Operations, and Business teams to identify, integrate, and operationalize AI services, tools, accelerators, and enterprise AI capabilities. * Evaluate emerging AI technologies, frameworks, and agent orchestration platforms, recommending innovative solutions that drive business value and operational efficiency. * Drive adoption of AI, Agentic AI, automation solutions, and reusable accelerators across engagements, practices, and client programs. * Provide technical leadership and mentorship to engineers, contributing to solution design reviews, code quality, architecture governance, and engineering best practices. * Support business development activities related to AI and automation, including solution design, proposals, client workshops, demonstrations, and technical presentations. * Ensure all AI and automation solutions comply with organizational security, governance, risk management, privacy, and responsible AI standards. * Contribute to resource planning and technical execution by estimating effort, prioritizing work, coordinating with stakeholders, and ensuring successful delivery of AI initiatives. * Hands\-on experience with Large Language Models (LLMs), prompt engineering, Retrieval\-Augmented Generation (RAG), AI agents, and agent orchestration frameworks such as LangChain, LangGraph, Semantic Kernel, CrewAI, AutoGen, or similar technologies. * Strong understanding of Generative AI, NLP, machine learning concepts, and integration of AI services into enterprise workflows. * Experience integrating AI, automation, and enterprise systems through REST APIs, SDKs, event\-driven architectures, and cloud\-native services. * Ability to analyze complex business and engineering processes and design scalable Agentic AI and intelligent automation solutions that deliver measurable business value. * Experience developing and deploying autonomous workflows leveraging AI agents, tool calling, workflow orchestration, and decision\-making frameworks. * Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud, including AI and machine learning services. * Knowledge of vector databases, embeddings, knowledge graphs, semantic search, and enterprise data integration patterns is highly desirable. * Experience building AI, GenAI, automation solutions, accelerators, and reusable frameworks within managed services or large\-scale enterprise environments is preferred. * Understanding ITSM, ITIL, DevOps, MLOps, LLMOps, and operational governance practices is an added advantage. * Familiarity with AI governance, Responsible AI principles, security, privacy, and regulatory compliance requirements. * Excellent communication and stakeholder management skills, with the ability to collaborate effectively across AI, engineering, operations, platform, and business teams. * Ability to mentor team members, contribute to technical leadership, and drive the adoption of Agentic AI, automation, and engineering best practices across engagements. Our Commitment: As a commitment, we persistently endeavour to embody our values, fulfil our purpose, and champion inclusiveness. Our dedication is to cultivate EY into an environment where diverse perspectives are celebrated, creating a supportive atmosphere for individuals to authentically be themselves and contribute their utmost. Professional Development: From entry\-level employees to senior leaders, we believe in continuous learning. We offer opportunities to build new skills, take on leadership roles, and connect and grow through mentorship. People and Culture: In our dynamic workplace, diversity, equity, and inclusiveness are ingrained in our culture. We're united by a commitment to create an environment where every individual's differences are valued, practices are equitable, fostering a sense of belonging. Our shared values include integrity, respect, teaming, inclusiveness, energy, enthusiasm, courage to lead, and building relationships based on doing the right thing. Work Location: Kerala, India Availability: Full time
