Job Title: Machine Learning Engineer - L3 Company: RZR Job Category: Machine Learning Roles & Responsibilities: Role Overview We are seeking a motivated and detail\-oriented Machine Learning Engineer to join our team. As an ML Engineer, you will be involved in designing and implementing machine learning models and data pipelines to enhance our programmatic demand\-side platform (DSP). You will work closely with Senior MLE and other team members to drive impactful machine learning projects and contribute to innovative solutions. Key Responsibilities * Support the development of machine learning models to address challenges in programmatic advertising, such as predicting user responses, forecasting bid landscapes, and detecting fraud. * Collaborate with senior data scientists and cross\-functional teams (product, engineering, and analytics) to integrate models into production workflows. * Analyze the impact of integrating new data sources and features into our models. * Build and maintain data pipelines to process and prepare large datasets for model training and evaluation. * Contribute ideas and assist in testing new tools, methodologies, and technologies to improve our machine learning capabilities. * Document experiments, assumptions, and outcomes; maintain reproducibility RZR is an equal opportunity employer RZR is a place where everyone can grow. However you identify, and whatever background you bring with you, we invite you to apply if this role excites you. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Applied Scientist, International Machine Learning Company: Amazon Job Category: Machine Learning Roles & Responsibilities: We are developing state\-of\-the\-art machine learning solutions to accelerate the Amazon India growth story. Amazon India is an exciting place to be at for a machine learning practitioner. We have the eagerness of a fresh startup to absorb machine learning solutions, and the scale of a mature firm to help support their development at the same time. As part of the India Machine Learning team, you will get to work alongside brilliant minds motivated to solve real\-world machine learning problems that make a difference to millions of our customers. We encourage thought leadership and blue ocean thinking in ML. Key job responsibilities Design, develop, evaluate and deploy, innovative and highly scalable ML models Work closely with software engineering teams to drive real\-time model implementations Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation and model maintenance Work proactively with engineering teams and product managers to evangelize new algorithms and drive the implementation of large\-scale complex ML models in production Leading projects and mentoring other scientists, engineers in the use of ML techniques About The Team International Machine Learning Team is responsible for building novel ML solutions that attack India first (and other Emerging Markets across MENA and LatAm) problems and impact the bottom\-line and top\-line of India business. Learn more about our team from https://www.amazon.science/working\-at\-amazon/how\-rajeev\-rastogis\-machine\-learning\-team\-in\-india\-develops\-innovations\-for\-customers\-worldwide Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist Vice President Company: Citi Job Category: Machine Learning Roles & Responsibilities: We are looking for an experienced AI Engineer to design, develop, and deploy enterprise\-grade AI solutions that transform how Third\-Party Management teams assess, monitor, and manage supplier and vendor risks. This role combines software engineering, AI engineering, analytics, and product development to build intelligent applications that improve operational efficiency, decision quality, and user experience. The successful candidate will partner closely with business stakeholders, data engineers, technology teams, and AI governance partners to deliver scalable AI capabilities aligned with enterprise standards. Key Responsibilities AI Solution Development * Design and build enterprise AI applications using Large Language Models (LLMs), Retrieval\-Augmented Generation (RAG), and agentic AI architectures. * Develop AI\-powered copilots, knowledge assistants, workflow automation, and decision\-support tools. * Build reusable AI services, APIs, and components for enterprise adoption. * Develop multi\-agent workflows for complex business processes. Software Engineering * Build scalable Python\-based backend services and APIs. * Develop modern web applications using enterprise UI frameworks. * Integrate AI services with internal data platforms and enterprise applications. * Write clean, modular, and production\-ready code. AI Governance * Ensure AI solutions comply with enterprise governance, security, and model risk requirements. * Support model evaluation, monitoring, auditability, and explainability. * Collaborate with AI governance teams on documentation and deployment approvals. Collaboration * Partner with business stakeholders to understand challenges and identify AI opportunities. * Work closely with technology, architecture, cybersecurity, and data engineering teams. * Support production deployment and operationalization of AI solutions. * Mentor junior engineers and contribute to AI engineering best practices. * LLM application development * Retrieval\-Augmented Generation (RAG) * Agentic AI frameworks * Prompt engineering * Vector databases * Knowledge Graphs * AI orchestration frameworks * Enterprise AI platforms * Model evaluation frameworks * MLOps or LLMOps * Kubernetes * CI/CD * Banking, financial services, or risk management Leadership Expectations * Demonstrate ownership from concept through production deployment. * Drive innovation while maintaining engineering excellence. * Communicate effectively with technical and non\-technical stakeholders. * Promote responsible AI practices and continuous learning. * Foster collaboration across global, cross\-functional teams. * Working Environment: office setting, minimal travel required. * Effort: minimal physical effort required. Job Family Group: Decision Management Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Staff Software Engineer - AI I Company: Thomson Reuters Job Category: Machine Learning Roles & Responsibilities: Staff Software Engineer\- AI Are you passionate about building AI\-driven software that transforms how professionals work? Join a dynamic and highly skilled team at Thomson Reuters, where we invest deeply in AI technologies and explore emerging fields with the backing of a globalleader. As a Staff Software Engineer – AI, you will play a lead role in developing intelligent systems that power the next generation of expert solutions across legal, tax, risk, and compliance domains. About The Role As a Staff Software Engineer – AI, you will: * You will spearhead the development of cutting\-edge AI\-powered solutions and driving technical strategy. You will collaborate with senior stakeholders, product leadership, and cross\-functional teams to architect, build, and scale enterprise\-grade AI systems that transform how our organization delivers value to customers. * Design and lead the implementation of complex, enterprise\-scale AI systems, including sophisticated multi\-component pipelines, advanced retrieval\-augmented generation (RAG) architectures, and autonomous AI agents with multi\-step reasoning capabilities . * Architect scalable AI model integration strategies for production software through robust APIs, distributed data pipelines, and microservices architectures. * Lead the adaptation and customization of AI models for specialized domains, driving innovation in expert systems for legal, tax, fraud and compliance. * Define technical standards and best practices for AI system architecture across the organization * Lead evaluation and strategic adoption of cutting\-edge AI techniques to solve complex business challenges. * Oversee proof\-of\-concept projects and guide technical feasibility assessments for new AI\-driven features. * Stay at the forefront of AI research and emerging technologies, translating insights into actionable technical roadmaps. * Drive innovation initiatives and establish the organization's position in emerging AI technology areas * Lead technical architecture decisions and translate high\-level business requirements into comprehensive, scalable technical specifications. * Mentor a team of senior and junior Software engineers, fostering technical growth and career development. * Champion MLOps and LLMOps practices across the organization, leading both design and implementation initiatives. * Serve as a senior thought leader, driving technical discussions in executive forums and representing the organization at industry conferences and events . * Design and implement comprehensive testing frameworks, monitoring systems, and observability solutions for AI model performance at scale. * Lead compliance initiatives ensuring adherence to ethical AI principles, security standards, and regulatory requirements. * Conduct advanced systems analysis and drive operational improvements across AI infrastructure. * Establish governance frameworks for AI model lifecycle management * Partner with AI researchers, senior engineering leadership, design, and product teams to translate AI capabilities into market\-leading applications. * Drive optimization of AI system performance across multiple dimensions including latency, resource usage, cost efficiency, and user experience. * Lead strategic initiatives for application feature enhancements through advanced AI capabilities. * Influence product strategy through deep technical expertise and market understanding. What’s in it For You? * Hybrid Work Model: We’ve adopted a flexible hybrid working environment for our office\-based roles while delivering a seamless experience that is digitally and physically connected. * Flexibility \& Work\-Life Balance: Flex My Way is a set of supportive workplace policies designed to help manage personal and professional responsibilities, whether caring for family, giving back to the community, or finding time to refresh and reset. This builds upon our flexible work arrangements, including work from anywhere for up to 8 weeks per year, empowering employees to achieve a better work\-life balance. * Career Development and Growth: By fostering a culture of continuous learning and skill development, we prepare our talent to tackle tomorrow’s challenges and deliver real\-world solutions. Our Grow My Way programming and skills\-first approach ensures you have the tools and knowledge to grow, lead, and thrive in an AI\-enabled future. * Industry Competitive Benefits: We offer comprehensive benefit plans to include flexible vacation, two company\-wide Mental Health Days off, access to the Headspace app, retirement savings, tuition reimbursement, employee incentive programs, and resources for mental, physical, and financial wellbeing. * Culture: Globally recognized, award\-winning reputation for inclusion and belonging, flexibility, work\-life balance, and more. We live by our values: Obsess over our Customers, Compete to Win, Challenge (Y)our Thinking, Act Fast / Learn Fast, and Stronger Together. * Social Impact: Make an impact in your community with our Social Impact Institute. We offer employees two paid volunteer days off annually and opportunities to get involved with pro\-bono consulting projects and Environmental, Social, and Governance (ESG) initiatives. * Making a Real\-World Impact: We are one of the few companies globally that helps its customers pursue justice, truth, and transparency. Together, with the professionals and institutions we serve, we help uphold the rule of law, turn the wheels of commerce, catch bad actors, report the facts, and provide trusted, unbiased information to people all over the world. About Us Thomson Reuters informs the way forward by bringing together the trusted content and technology that people and organizations need to make the right decisions. We serve professionals across legal, tax, accounting, compliance, government, and media. Our products combine highly specialized software and insights to empower professionals with the data, intelligence, and solutions needed to make informed decisions, and to help institutions in their pursuit of justice, truth, and transparency. Reuters, part of Thomson Reuters, is a world leading provider of trusted journalism and news. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Data Scientist Company: FyerX Job Category: Machine Learning Roles & Responsibilities: The role primarily focuses on classical machine learning, data analysis, and business\-oriented problem\-solving rather than Generative AI or LLM\-based solutions. Key Responsibilities: * Perform exploratory data analysis (EDA) and statistical analysis on structured and relational datasets. * Develop, implement, and evaluate classical machine learning models. * Use Python libraries to process, analyse, and interpret data. * Write SQL queries to extract, manipulate, and analyse business data. * Apply statistical techniques, hypothesis testing, and analytical methods to solve business problems. * Translate business requirements into analytical solutions and actionable insights. * Ensure data quality, governance, and compliance standards. * Present findings through effective data storytelling and visualisation. Work Location: Bengaluru, India Availability: Full time
Job Title: Senior Machine Learning Engineer Company: Quantiphi Job Category: Machine Learning Roles & Responsibilities: JOB ROLE \- Senior Machine Learning Engineer (4\-7 yrs) As a Senior Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability. * Hands\-on experience with OCR/Document Intelligence engines and NLP techniques for extracting structured information from documents and images. * Hands\-on experience with Bedrock Agentcore * Hands\-on experience with OpenAI, Anthropic, Gemini, or other foundation models. * Experience with Docker, Kubernetes, and MLOps practices. * Experience with Redshift, SQL, DynamoDB, or AWS Glue. * Exposure to model monitoring, evaluation, and observability for GenAI applications. * Ability to work in an Agile and DevOps environment. Work Location: Bengaluru, India Availability: Full time
Job Title: Data Scientist-Artificial Intelligence Company: IBM Job Category: Machine Learning Roles & Responsibilities: Introduction A career in IBM Consulting is built on long\-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long\-term career development while valuing your unique skills and experiences. Your Role And Responsibilities As a Data Scientist with expertise in Artificial Intelligence, you will skillfully combine data analysis and business acumen to tackle cognitive computing challenges. You will be responsible for architecting and delivering AI solutions using cutting\-edge technologies, with a strong focus on foundation models and large language models. Your Primary Responsibilities Will Include * Design AI Solutions: Architect and deliver AI solutions using cutting\-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer. * Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing expertise in NLP, ML, and other specialized areas such as Image Processing, Video Processing, Voice Processing, or Watson technologies. * Implement AI Frameworks: Apply strong programming skills, with proficiency in Python and experience with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, to develop and deploy AI models. * Manage AI Project Lifecycle: Oversee the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful project delivery. * Collaborate with Stakeholders: Work with various stakeholders to identify business problems and leverage the power of artificial intelligence for cognitive computing, driving business value through AI\-driven solutions. Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: Senior Staff AI Engineer Company: JazzX AI Job Category: Machine Learning Roles & Responsibilities: About the Role You will lead the design, development, and optimization of cutting\-edge RL solutions, from experimentation and simulation through production deployment. This includes building scalable training architectures, architecting multi\-agent and hierarchical RL frameworks, and ensuring that the RL systems are resilient, efficient, explainable and safe. As a senior technical leader, you will partner with cross\-functional teams—including product, core platform engineering, and research—to define architectural best practices, establish governance standards, and enable seamless integration of RL into our broader AGI platform. You will also drive innovation by exploring novel RL techniques, mentoring engineers and researchers, and ensuring the RL infrastructure can scale to support high\-throughput training and real\-world scenarios and enterprise use cases end to end. Key Responsibilities * Architecture \& Design: Define and drive the end\-to\-end architecture for reinforcement learning–based systems, including training pipelines, simulation environments, reward shaping, and model serving. * Research \& Development: Apply cutting\-edge RL techniques (policy optimization, model\-based RL, hierarchical RL, multi\-agent RL, etc) to solve complex enterprise problems. * Scalability \& Infrastructure: Design distributed training systems, leverage cloud\-native infrastructure, and optimize for performance, reproducibility, and cost\-efficiency. * Leadership \& Mentorship: Provide technical leadership to AI engineers and researchers; mentor junior team members; review designs and code with a focus on scalability, robustness, and clarity. * Collaboration: Partner with product, data, and platform teams to align RL solutions with strategic business goals and integrate them into production systems. * Evaluation \& Monitoring: Define frameworks for benchmarking, continuous evaluation, and feedback\-driven improvements in deployed RL models. * Compliance \& Safety: Ensure RL systems align with ethical AI practices, safety constraints, and regulatory standards for enterprises. If you're motivated by building systems that matter — systems that combine intelligence with responsibility — JazzX AI offers the chance to do that work at a deeper level, with real ownership and lasting impact. Work Location: Bengaluru, India Availability: Full time
Job Title: Staff Engineer: Verification of 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: * 9\+ 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: Bengaluru, India Availability: Full time
Job Title: Data Scientist- Agentic AI,RAG,MCP, AI, LangGraph, Vector DB, Supply Chain, Cloud- (10-15yrs)exp Company: Cisco Job Category: Machine Learning Roles & Responsibilities: Meet the Team\-SiOps Component Central Operations (CCO) supports Cisco’s Components (Silicon and Optical) supply chains , driving business transformation and enabling scalable, profitable growth. The CCO Data \& Analytics team brings together expertise in business architecture, advanced data science, AI, analytics, and program management to solve complex business challenges and enable strategic outcomes. Your Impact As a Data Scientist within the CCO Data \& Analytics team, you will design and develop high\-impact AI/ML solutions that transform complex and ambiguous component supply chain challenges into measurable business outcomes. You will combine advanced statistical and machine learning expertise with emerging Generative AI, LLM, and Agentic AI capabilities to develop scalable solutions that improve supply chain decision\-making, operational efficiency, and business performance. You Will * Translate complex business objectives into scalable and rigorous data science and AI/ML solutions. * Develop and deploy advanced AI/ML models, including predictive analytics, LLM\-powered applications, and Agentic AI workflows. * Apply advanced statistical methods, experimental design, model evaluation, and statistical validation to ensure methodological rigor. * Build solutions using supervised and unsupervised learning, time\-series analysis, optimization, and statistical modeling. * Design and develop RAG pipelines, including embeddings, retrieval strategies, reranking, context management, and evaluation. * Develop and optimize LLM\-powered applications, including prompt engineering, structured outputs, guardrails, and workflow optimization. * Explore emerging AI methodologies such as Agentic AI, multi\-agent orchestration, tool calling, graph analytics, and LLM fine\-tuning. * Partner with AI Engineers and technology teams to transition data science solutions from experimentation into production. * Design end\-to\-end data pipelines and AI solutions that are scalable, reliable, and production\-ready. * Work with large\-scale structured, unstructured, and multi\-modal datasets to generate actionable insights. * Apply MLOps practices to support model deployment, monitoring, lifecycle management, and continuous improvement. * Drive innovation by evaluating emerging AI/ML technologies and identifying opportunities to apply them to supply chain challenges. * Ensure solutions follow enterprise standards for responsible AI, ethics, bias mitigation, interpretability, and reproducibility. * Communicate complex analytical findings clearly and translate them into actionable recommendations for business and non\-technical stakeholders. * Mentor team members and contribute to a culture of technical excellence, collaboration, and continuous learning. Who You’ll Work With You will collaborate closely with CCO business teams, Supply Chain, AI Engineering, Data Engineering, IT, Product and Technology teams, and global cross\-functional stakeholders to develop and deploy AI\-powered solutions that deliver measurable business outcomes. If you are the target of a recruiting scam, consider filing a report with your local law enforcement authorities. Cisco bears no responsibility, and cannot be held liable, for any claims, damages, expenses, or other inconvenience resulting from or in any way connected to recruiting scams. Work Location: Bengaluru, Karnataka, India Availability: Full time
