Job Title: GenAI developer-NCR/Pune-Hybrid Working-Immediate To 30Days Joiner Company: Iris Software Job Category: Machine Learning Roles & Responsibilities: Shift Timing : 12\-9PM / 1\-10PM Key Responsibilities: Design and develop enterprise Generative AI solutions using Amazon Bedrock, Azure OpenAI Service, Azure AI Foundry, Grog, or AI Search Index platforms. Define AI solution architectures and implementation approaches aligned with business and technical objectives. Design and implement Retrieval\-Augmented Generation (RAG), Graph RAG, and Agentic AI architectures for enterprise use cases. Lead development of intelligent AI agents, tool\-calling workflows, and autonomous task execution frameworks. Design and implement multi\-agent orchestration solutions using frameworks such as LangGraph and evaluate emerging frameworks such as AutoGen or CrewAI where appropriate. Design and optimize prompt strategies, retrieval mechanisms, context orchestration, and response generation frameworks. Design prompt engineering pipelines, vector database integration, semantic search solutions, and Retrieval\-Augmented Generation architectures supporting enterprise AI applications. Design and implement workflows using LangChain or LangGraph to support scalable AI application development. Design scalable AI engineering architectures incorporating authentication, authorization, asynchronous processing, scheduling, multithreading, API governance, and enterprise deployment best practices. Work Location: Pune, Delhi / NCR, India Availability: Full time
Job Title: AI/ML Engineer Company: DATA SECURITY COUNCIL OF INDIA Job Category: Machine Learning Roles & Responsibilities: #### About the Role We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R\&D initiatives in cybersecurity. The ideal candidate will possess hands\-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement. #### Key Responsibilities * Support R\&D efforts to prototype generative AI models for real\-time threat detection and cybersecurity. * Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. * Research and implement novel AI approaches, including multi\-agent and reasoning\-based systems. * Develop distributed security monitoring frameworks using tools like AutoGen, CrewAI, etc. * Build LLM\-powered threat analysis tools using LangChain, LlamaIndex, and integrate with enterprise infrastructure. * Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. * Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG\-based systems. * Create synthetic datasets for AI training and model evaluation. * Use Pydantic for data validation within AI pipelines. * Conduct technical research, proof of concepts (PoCs) and experimentation on emerging AI/ML use cases. * Identify opportunities to leverage AI/ML for solving complex problems, including potential applications in cybersecurity and data security. * Document model architectures, methodologies, experiments, results and technical findings. Work Location: DL, India Availability: Full time
Job Title: AI/ML Engineer Company: DATA SECURITY COUNCIL OF INDIA Job Category: Machine Learning Roles & Responsibilities: #### About the Role We are seeking a dynamic and technically proficient AI/ML Engineer to support our AI/ML R\&D initiatives in cybersecurity. The ideal candidate will possess hands\-on experience in generative AI, emerging technologies, and product management. This is a hybrid role combining deep technical development with stakeholder engagement. #### Key Responsibilities * Support R\&D efforts to prototype generative AI models for real\-time threat detection and cybersecurity. * Design, develop, and deploy machine learning models tailored to cyber threat intelligence and anomaly detection. * Research and implement novel AI approaches, including multi\-agent and reasoning\-based systems. * Develop distributed security monitoring frameworks using tools like AutoGen, CrewAI, etc. * Build LLM\-powered threat analysis tools using LangChain, LlamaIndex, and integrate with enterprise infrastructure. * Apply MLOps best practices for model deployment, performance monitoring, and continuous integration. * Optimize vector stores (Qdrant, FAISS, Pinecone, etc.) for RAG\-based systems. * Create synthetic datasets for AI training and model evaluation. * Use Pydantic for data validation within AI pipelines. * Conduct technical research, proof of concepts (PoCs) and experimentation on emerging AI/ML use cases. * Identify opportunities to leverage AI/ML for solving complex problems, including potential applications in cybersecurity and data security. * Document model architectures, methodologies, experiments, results and technical findings. Work Location: Delhi, India Availability: Full time
Job Title: Generative AI Engineer (3-6 Years) Company: KPMG India Job Category: Machine Learning Roles & Responsibilities: * Strong understanding of Machine Learning, Deep Learning, NLP, Transformers, Embeddings, and Model Evaluation * Hands\-on experience with Python, PyTorch, TensorFlow, and Scikit\-learn * Experience developing Generative AI and LLM\-based applications, including prompt engineering, tool calling, and LLM integrations * Expertise in building RAG (Retrieval\-Augmented Generation) solutions using vector databases, semantic search, reranking, and grounding techniques * Experience with Agentic AI frameworks such as LangChain and LangGraph, including workflow orchestration and multi\-step reasoning workflows * Strong Python development skills with FastAPI/Flask and API integrations * Experience with Docker, Kubernetes, CI/CD pipelines, MLOps, and LLMOps practices * Cloud deployment experience on AWS, Azure, GCP, or on\-premises environments * Understanding of Responsible AI, AI Security, Data Privacy, Guardrails, Hallucination Mitigation, and Prompt Injection Prevention * Experience working on Government/Public Sector projects will be an added advantage Work Location: New Delhi, Delhi, India Availability: Full time
Job Title: Lead Machine Learning Engineer Company: Bain & Company Job Category: Machine Learning Roles & Responsibilities: Who You’ll Work With You’ll join our Machine Learning and Data Science experts within the Applied Tech \& AI team. This team is part of Bain’s digital capabilities practice, which includes experts in analytics, engineering, product management, and design. In this multidisciplinary environment, you'll leverage deep technical expertise with business acumen to help clients tackle their most transformative challenges. You’ll work on integrated teams alongside our general consultants and clients to develop data\-driven strategies and innovative solutions. Together, we create human\-centric solutions that harness the power of data and artificial intelligence to drive competitive advantage for our clients. Our collaborative and supportive work environment fosters creativity and continuous learning, enabling us to consistently deliver exceptional results. What You’ll Do * Design, build, and deliver statistical/ML models and agentic AI/LLM solutions to solve high\-impact client problems. * Architect and implement production\-grade ML systems by building enterprise\-grade services, applying MLOps and CI/CD for reliable deployment and monitoring, and ensuring high standards in engineering quality and documentation. * Partner with general consulting teams and client stakeholders to translate business problems into ML solutions, prioritize work, and enable enterprise‑scale AI transformation. * Continuously research emerging frameworks and state‑of‑the‑art AI (e.g., LLMs, agents, retrieval, post\-training, etc.) and convert learnings into reusable frameworks, components, and accelerators used across industries and functions. * Share knowledge and mentor others on best practices tools, and approaches in applied machine learning and AI engineering. * Contribute to internal R\&D and learning initiatives to advance Bain’s AI capabilities and foster continuous innovation between projects. Work Location: Delhi Cantonment, Delhi, India Availability: Full time
Job Title: T&T-EAID-Senior Consultant-ETL Testing-Delhi-Engineering-Quality Engineering Company: Deloitte Job Category: Machine Learning Roles & Responsibilities: Deloitte’s Technology \& Transformation: EAD: Engineering practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact\-driven decision\-making and generate an insight\-driven advantage. Our practice addresses the continuum of opportunities in business intelligence \& visualization, data management, performance management and next\-generation analytics and technologies, including big data, cloud, cognitive and machine learning. * Data Testing: + Strong SQL (Big Query preferred) + DBT and automated testing frameworks * Report Testing: + Power BI dashboard and DAX testing * DevOps \& CI/CD: + CI/CD pipelines and Git workflows * Security \& Governance: + IAM and data governance awareness * Delivery Approach: + Agile delivery + JIRA and Confluence + Collaboration across teams * Specialisations: + Financial services domain experience + SQL\-based testing and Python scripting + Data warehouse testing * 5\+ years’ experience * Strong problem solving * Stakeholder management * Public IBOR/ABOR knowledge or understanding of Aladdin data (will support the Public IBOR team) * Aladdin platform (Asset, Liability, Debt and Derivative Investment Network) Work Location: Gurgaon, India Availability: Full time
Job Title: Data Science Trainer Company: NDMIT Job Category: Machine Learning Roles & Responsibilities: About the Role We are looking for a knowledgeable and enthusiastic Part\-Time Data Science Trainer who can visit our office and deliver practical, engaging lectures to students/learners. The trainer will be responsible for explaining data science concepts in a simple and structured manner, conducting hands\-on sessions, and helping learners develop practical skills. Key Responsibilities * Deliver classroom lectures on Data Science and related technologies. * Explain concepts from beginner to intermediate/advanced levels using practical examples. * Conduct hands\-on sessions, exercises, assignments, and projects. * Cover topics such as Python, Statistics, SQL, Data Analysis, Machine Learning, Pandas, NumPy, Matplotlib/Seaborn, and related concepts. * Guide students in real\-world data science projects and case studies. * Assess learners through assignments, quizzes, practical tasks, and projects. * Address students' doubts and provide individual guidance when required. * Keep course content and teaching methodology updated according to industry trends. * Maintain a professional and interactive classroom environment. * Strong knowledge of Data Science and Machine Learning fundamentals. * Good command of Python, SQL, Pandas, NumPy, and data visualization. * Understanding of statistics and machine learning algorithms. * Ability to explain technical concepts in simple and easy\-to\-understand language. * Strong presentation and classroom\-management skills. * Practical/project\-based knowledge of Data Science. * Good communication and interpersonal skills. Work Location: In person Work Location: Delhi, India Availability: Full time
Job Title: Multimodal AI Engineer (Robotics & Foundation Models) Company: Asiacruit BPO, Inc. Job Category: Machine Learning Roles & Responsibilities: At Asiacruit, we connect top talent with forward\-thinking organizations across industries. Our mission is to help businesses grow through smart, strategic, and people\-focused solutions. We support companies by providing high\-quality talent for local and global markets. We are looking for a Multimodal AI Engineer to develop and adapt Vision\-Language\-Action (VLA) foundation models for autonomous robotic systems. You will work at the intersection of multimodal perception, foundation models, and robotic learning, helping AI systems interpret visual inputs, plan complex tasks, and translate instructions into physical actions. This role focuses on fine\-tuning multimodal models, developing multi\-camera perception pipelines, implementing action\-generation architectures, and optimizing models for deployment on edge AI platforms. You will collaborate with AI researchers and robotics engineers to turn research concepts into practical, high\-performance AI capabilities. Key Responsibilities * Develop, fine\-tune, and adapt Vision Transformers (ViTs) and multimodal foundation models for robotic perception and action generation. * Implement action\-chunking architectures, including Action Chunking with Transformers (ACT) and Diffusion Policy, to support long\-horizon robotic task planning. * Build multi\-camera fusion pipelines that combine visual inputs into coherent representations for VLA perception and decision\-making. * Develop and optimize multimodal feature extraction pipelines that integrate visual perception with downstream robotic planning and action\-generation systems. * Integrate computer vision capabilities, including face recognition and perimeter threat assessment, into multimodal AI workflows. * Apply parameter\-efficient fine\-tuning (PEFT) techniques, including LoRA, to adapt foundation models for specific robotic applications. * Work with Transformer architectures, visual embeddings, and vector search techniques to improve multimodal representation and information retrieval. * Profile and optimize multimodal models through pruning and other model compression techniques to improve inference efficiency. * Prepare and optimize model weights for downstream deployment using NVIDIA TensorRT and related inference optimization tools. * Evaluate model performance through systematic experiments, benchmarking, and iterative improvements. * Collaborate with researchers and engineering teams across VLA, robotics controls, and edge AI to support end\-to\-end system development. * Work on emerging technologies at the intersection of multimodal AI, foundation models, and robotics. * Develop AI systems that connect visual perception, intelligent planning, and physical execution. * Explore advanced approaches to VLA model adaptation, action generation, and multimodal learning. * Contribute to real\-world AI applications involving autonomous systems and intelligent perception. * Collaborate with researchers and engineers working on challenging AI research and development projects. Work Location: Delhi, India Availability: Full time
Job Title: Associate - Data Scientist Company: United Airlines India Knowledge Center Job Category: Machine Learning Roles & Responsibilities: Description The Analytics and Innovation (Ai) team at United Airlines works to innovate, transform, and solve complex business problems resulting in significant and measurable enterprise impact through the application of deep cross-functional business expertise and advanced analytics. We work with business and technology partners across the enterprise (e.g. Airport Operations, Contact Centers, Network Planning, Revenue Management, Digital Products, Human Resources, etc.) to influence strategic decisions, enterprise strategy, business process, and to help connect the dots across the enterprise. We aim to be Andaman and Nicobar Islands organization with whom and within everyone loves to work! Data Scientists within Ai partner with business and technology leaders across the company to deploy AI & Meghalaya powered solutions to support and automate business processes. The team works closely with other teams in digital technology with complementing skills and capabilities. The key objectives are to drive incremental revenue, boost customer engagement and to automate manual processes by leveraging state-of-the-art Meghalaya techniques. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. Data Scientists contribute to developing smart and innovative solutions across many of United’s departments. A growing share of this work involves Generative AI and agentic systems — LLM-powered assistants, and multi-modal AI (Voice and Image)— deployed into production to augment contact center, operations, and customer-facing teams. Data Scientists are expected to grow comfortable working alongside these techniques in addition to classical machine learning. Job Overview And Responsibilities * Work with other data scientists and a variety of stakeholders (IT, DE, business, etc.) to gather and analyze data on United's various operations, delivering high-quality models and fact-based, data-driven recommendations * Execute solutions to business problems using data analysis, machine learning and optimization tools, GenAI/LLM techniques (e.g., Agentic, prompt engineering), and optimization tools * Execute and deploy solutions by leveraging the latest AI-assisted tools and techniques — such Assam coding agents, AI design and prototyping tools, and agentic frameworks — to rapidly prototype, build, and ship high-quality solutions with greater speed and efficiency * Work with multiple multi-modal models spanning text, voice, and vision, and build data transfer pipelines and model monitoring to support their scalable deployment * Research latest Meghalaya, Delhi and GenAI approaches to enable solutions to solve for different vertical teams and also to share the knowledge across the team * Effectively structure communication of insights from work streams and deliver clear and professional presentations to the team/team leaders/managers * Partner and engage with data engineering and operations teams to inform and support business stakeholders with day-to-day project updates. Work Location: Gurugram, Haryana, India Availability: Full time
Job Title: AI/ML Engineer Company: MarbleX Job Category: Machine Learning Roles & Responsibilities: Role Overview: Key Responsibilities: * Develop and optimize AI/ML models for real-world applications. * Work on NLP, Computer Vision, or Predictive Analytics projects. * Perform data preprocessing, feature engineering, and model evaluation. * Implement and deploy AI solutions using open-source frameworks and cloud platforms. * Monitor model performance and optimize accuracy and scalability. Work Location: Delhi, India Availability: Full time
