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: 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: 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-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: AI/ML Engineer (Databricks) Company: DysrupIT Job Category: Machine Learning Roles & Responsibilities: DysrupIT is a leading global\-based cloud services company. We support clients across the globe in This role is the right fit if you love hands\-on AI/ML engineering, enjoy direct client collaboration in JOB RESPONSIBILITIES use cases, using MLflow for experiment tracking and model management. * Support the delivery of Generative AI and agentic systems on Databricks, including data agentic assistants, forecasting, personalisation), reducing time\-to\-development for new pandas, scikit\-learn, and PyTorch. * Background supporting large\-scale consumer or enterprise ML systems (recommenders, support AI use case development. Work Location: Karnataka, India Availability: Full time
Job Title: Software Engineer Company: Sage Job Category: Machine Learning Roles & Responsibilities: Job Description The Software Engineer is responsible for the design and development of Sage Intacct features. The engineer will receive feature requirements from PMs and be responsible for the implementation and delivery of the features. He will implement and deliver the assigned features. He will create design documents and participate in design reviews. He is expected to follow established coding standards and best practices. They are also expected to actively participate in code reviews and contribute to the continuous improvement of the development process. In line with current trends, it is expected that the Software Engineer stays updated with the latest technologies and best practices in software development, including but not limited to cloud computing, AI, and machine learning. Key Responsibilities - Lead the design and development of major features - Work with Product Management to understand design and feature tradeoffs Work Location: Karnataka, 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
Job Title: Data Scientist Company: SourcingXPress Job Category: Machine Learning Roles & Responsibilities: Job Description Core Responsibilities * Data Preparation: Collect, clean, validate, and preprocess structured and unstructured data. * Model Development: Build machine learning algorithms, predictive models, and statistical experiments. * Deployment \& Testing: Implement models into production systems and monitor performance. * Collaboration \& Communication: Work with product managers, software engineers, and data engineers, while presenting findings via data visualizations. \[1, 2, 3, 4, 5] Work Location: Bengaluru, Karnataka, India Availability: Full time
Job Title: ML Engineer I Company: UST Job Category: Machine Learning Roles & Responsibilities: Role description Work Location: Karnataka, 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
