466 Rag Jobs - Page 6

As an AI Tester at Emerson, you will play a crucial role in ensuring the quality and reliability of AI-driven applications through both automated and manual testing methods. Collaborating closely with data scientists and software engineers, you will be responsible for testing, verifying, and validating AI applications to enhance their performance and usability. Your primary responsibilities will include designing and implementing detailed test plans and test cases for AI-based applications, conducting rigorous tests on various AI models and algorithms, identifying and reporting defects, bugs, and anomalies in AI behavior, and developing automated test scripts for efficient testing. Additionally, you will work on preparing test data, conducting functional and regression testing, and assisting in training and fine-tuning AI models based on user feedback. To excel in this role, you will need a Bachelor's degree with relevant experience, strong knowledge of AI technologies and machine learning frameworks, excellent communication skills, and the ability to work collaboratively in an Agile development environment. You should also be detail-oriented, proactive, and willing to accept feedback to implement changes effectively. Preferred qualifications include a Bachelor's degree in Computer Science or Engineering, 3+ years of experience in Quality Assurance testing for AI applications, knowledge of ethical AI principles, and proficiency with automated testing tools and AI platforms. This is a full-time position based at Matrix Tower, Pune, India, with a day shift schedule. If you are a cross-functional teammate who is organized, flexible, and eager to contribute to the QA processes and testing frameworks for AI development, we encourage you to apply for this exciting opportunity.,

Qualcomm India Private Limited is a leading technology innovator pushing the boundaries of what's possible to enable next-generation experiences and drive digital transformation for a smarter, connected future. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and specialized utility programs to launch cutting-edge, world-class products exceeding customer needs. Collaborate with various teams to design system-level software solutions and gather performance requirements and interfaces. Minimum Qualifications: - Possess a Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field. Senior Machine Learning & Data Engineer: Join our team as a Senior Machine Learning & Data Engineer with expertise in Python development. Design scalable data pipelines, build and deploy ML/NLP models, and enable data-driven decision-making within the organization. Key Responsibilities: - Data Engineering & Infrastructure: Design and implement robust ETL pipelines and data integration workflows using SQL, NoSQL, and big data technologies. - Machine Learning & NLP: Build, fine-tune, and deploy ML/NLP models using frameworks like TensorFlow, PyTorch, and Scikit-learn. - Python Development: Develop scalable backend services using Python frameworks such as FastAPI, Flask, or Django. - Collaboration & Communication: Work closely with cross-functional teams to integrate ML solutions into production systems. Required Qualifications: - Hold a Bachelors or Masters degree in Computer Science, Engineering, or a related field. - Possess strong Python programming skills and experience with modern libraries and frameworks. - Deep understanding of ML/NLP concepts and practical experience with LLMs and RAG architectures. Automation Engineer: As an Automation Engineer proficient in C#/Python development, you will play a crucial role in developing advanced solutions for Product Test automation. Collaborate with stakeholders to ensure successful implementation and operation of automation solutions. Responsibilities: - Design, develop, and maintain core APIs using C#. - Identify, troubleshoot, and optimize API development and testing. - Stay updated with industry trends in API development. Requirements: - Hold a Bachelor's degree in Computer Science, Engineering, or a related field. - Proven experience in developing APIs using C# and Python. - Strong understanding of software testing principles and methodologies. Qualcomm is an equal opportunity employer committed to providing accessible processes for individuals with disabilities. For accommodations, contact disability-accommodations@qualcomm.com.,

As an AI Developer, you will be responsible for designing and developing AI/ML models to enhance natural language understanding, intelligent automation, and real-time decision-making through the implementation of NLP, LLMs, and RAG techniques. Your primary focus will involve collaborating with cross-functional teams to seamlessly integrate AI models into various platforms, ensuring scalability, accuracy, and efficiency. In this role, you will actively support training and development programs across India, which may require traveling to client locations, academic institutions, and partner sites as necessary. Additionally, you will be tasked with continuously testing, refining, and documenting AI systems utilizing tools such as Python, TensorFlow, Hugging Face, and cloud services. Furthermore, you will engage in knowledge sharing initiatives, conduct technical workshops, and deliver on-site demos to showcase AI solutions and drive their adoption within the organization. This role is a full-time position with a day shift schedule and requires a Bachelor's degree as the preferred educational qualification. To be successful in this position, you should have a total of 1 year of experience, with specific expertise as an AI Developer for at least 1 year. The work location for this role is in person. In addition to a competitive salary, the benefits package includes cell phone reimbursement, provided meals, health insurance, paid sick time, and Provident Fund contributions.,

At EG, we are dedicated to developing industry-specific software solutions for our customers, allowing them to focus on their profession while we handle the technology aspect. Our team, consisting of industry peers and backed by the stability and innovation of EG, is committed to tackling significant challenges such as resource efficiency and sustainability. With a global workforce of over 3000 employees, including a team of 850+ based in Mangaluru, India, we prioritize a people-first culture that encourages innovation, collaboration, and continuous learning. Join our COE Team, working at the forefront of AI innovation, where we shape AI-powered digital transformation across various business domains. As a Senior Data Scientist with at least 7 years of experience, you will have the opportunity to be part of a core team designing and delivering end-to-end AI solutions that directly impact products across multiple industries. You will have the autonomy to bring your innovations to life while collaborating with exceptional minds in the field. Responsibilities: - Design scalable AI architectures including Traditional AI, GenAI, and Agentic AI - Build AI use cases deployed across hybrid environments such as on-premises infrastructure, Azure, and AWS cloud ecosystems - Enable business units to adopt and maintain AI solutions - Conduct feasibility studies and define technology roadmaps for AI initiatives - Support integration of AI accelerators into existing business applications Your role will involve engaging with product/business teams to translate requirements into AI/ML solutions, leading feasibility analysis, designing solution architectures, and developing, training, and evaluating AI/ML models for various business use cases. You will collaborate with cross-functional teams to deploy end-to-end data pipelines and AI solutions using cloud platforms like Azure and AWS. Additionally, you will evangelize AI best practices, drive adoption of emerging AI technologies, and provide mentorship and training to upskill Business Unit teams and junior data scientists. Required Skills: - Bachelor's in Computer Science and Engineering or related field; advanced degree preferred - 7+ years of experience in AI/ML with expertise in GenAI, LLMs, RAG, and related technologies - Proficiency in Python, ML frameworks (TensorFlow, PyTorch, Keras), NLP, and applied AI - Full-stack engineering exposure with backend in Python and experience in building scalable applications using Azure and AWS - Understanding of OOP/OOD, data structures, design patterns, and Agile/DevSecOps methodologies - Experience with visualization tools like Power BI, Streamlit, etc., and excellent interpersonal and communication skills Join us at EG for a professional, innovative environment where you can work on real-world problems and large-scale AI solutions alongside talented colleagues. We offer flexibility, ownership of ideas, extensive opportunities for personal and professional growth, and a strong focus on employee well-being, inclusion, and benefits.,

As a Senior AI Engineer specialized in Voice AI and Autonomous Agents at Spyne, you will be responsible for owning and building Spynes in-house voice bot stack. This pivotal role involves leveraging your expertise in LLMs, ASR/TTS, and voice UX to develop immersive, human-like conversations between auto dealerships and their customers. Located in Gurugram, you will work from the office five days a week to drive the development of cutting-edge AI solutions in the automotive retail sector. Your primary responsibilities will include: - Voice AI Stack Ownership: Developing and managing the complete voice bot pipeline encompassing ASR, NLU, dialog state management, tool calling, and TTS to deliver a seamless conversation experience. - LLM Orchestration & Tooling: Designing systems utilizing MCP to facilitate structured context exchange between real-time ASR, memory, APIs, and the LLM. - RAG Integration: Implementing retrieval-augmented generation to support responses based on dealership knowledge bases, inventory data, recall lookups, and FAQs. - Vector Store & Memory: Creating scalable vector-based search functionalities for dynamic FAQ handling, call recall, and user-specific memory embedding. - Latency Optimization: Engineering low-latency, streaming ASR + TTS pipelines and optimizing turn-taking models for natural conversations. - Model Tuning & Hallucination Control: Customizing tone, reducing hallucinations, and aligning responses with business objectives via fine-tuning, LoRA, or instruction tuning. - Instrumentation & QA Looping: Establishing robust observability, conducting real-time call QA processes, and analyzing interruptions, hallucinations, and fallbacks. - Cross-functional Collaboration: Collaborating closely with product, infra, and leadership teams to scale the voice bot solution to numerous US dealerships effectively. To excel in this role, you should possess: - Architectural Thinking: Ability to comprehend the integration of ASR, LLMs, memory, and tools and design modular, observable, and resilient systems. - LLM Tooling Mastery: Proficiency in implementing tool calling, retrieval pipelines, function calls, or prompt chaining across various workflows. - Fluency in Vector Search & RAG: Expertise in chunking, embedding, indexing, and retrieval processes while avoiding prompt bloat and token overflow. - Latency-First Mindset: Capability to identify and rectify token delays, optimize API round-trip time, and ensure human-like call interactions. - Grounding > Hallucination: Skill in tracing hallucinations to weak prompts, lack of guardrails, or tool access deficiencies and addressing them effectively. - Prototyping Skills: Comfort with building from scratch and rapid iteration using open-source or hosted tools as required. Requirements for this role include: - 5+ years of experience in AI/ML or voice/NLP systems with real-time exposure. - Profound knowledge of LLM orchestration, RAG, vector search, and prompt engineering. - Experience with MCP-style architectures and structured context pipelines between LLMs and APIs/tools. - Familiarity with integrating ASR (Whisper/Deepgram), TTS (ElevenLabs/Coqui), and OpenAI/GPT-style models. - Strong understanding of latency optimization, streaming inference, and real-time audio pipelines. - Proficiency in Python, FastAPI, vector DBs (Pinecone, Weaviate, FAISS), and cloud infrastructures (AWS/GCP). - Solid debugging, logging, and QA capabilities for hallucination, grounding, and UX analysis. Join Spyne for a real-world AI impact, a superior team balancing speed with technical depth, high autonomy, and visibility from day one, accelerated career growth, MacBook along with essential tools, and a flat structure focused on meaningful work without unnecessary bureaucracy.,

As a Senior Data Scientist specializing in Generative AI at our organization, you will play a crucial role in driving technical innovation and delivering impactful results within a team setting. You will be responsible for working with financial data, applying NLP techniques, refining prompt engineering strategies for LLMs, collaborating with stakeholders, developing and testing Python code for GenAI solutions, integrating with vector databases, monitoring MLOps pipelines, researching emerging GenAI technologies, and troubleshooting and debugging GenAI models in production. To excel in this role, you must possess a Master's degree in Computer Science, Data Science, or a related field, with a Ph.D. being preferred. You should have 8-12 years of experience in a Data Scientist or equivalent role, with at least 4 years of specialized experience in Generative AI. Additionally, you should have demonstrable experience in the full lifecycle of real-world, production-level GenAI project implementation. You must stay up-to-date with the rapidly evolving GenAI landscape, continuously learn and explore new tools and techniques, and effectively communicate technical concepts to non-technical stakeholders. Proficiency in Python, along with expertise in key libraries for AI/ML and GenAI applications such as TensorFlow, PyTorch, and Transformers, is mandatory. Experience in designing and implementing scalable API architectures for GenAI applications, along with a deep understanding of Machine Learning concepts, is essential. Preferred qualifications for this role include experience with MLOps, cloud computing platforms, conversational AI solutions, and contributions to research and publications in the field of Generative AI. As a Senior Data Scientist, you will be expected to demonstrate strong technical leadership and mentorship skills, as well as excellent communication and collaboration abilities. This job description provides a comprehensive overview of the responsibilities and qualifications required for the Senior Data Scientist position. If you are a highly motivated individual with a strong passion for Generative AI and possess the necessary technical skills and experience, we encourage you to apply for this role.,

Role: Artificial Intelligence Engineer Location Bangalore (Ashok Nagar) Experience : 3 to 5 years Education : Bachelor's/Masters Degree in Technology. Salary : Negotiable Job Type : Full Time (On Role) Mode of Work : Work from Office Job Description We are looking for an experienced AI Engineer to join our team and develop advanced AI solutions. The role involves designing, training, and deploying machine learning models to address complex business challenges. Proficiency in Python, TensorFlow, and experience working with large datasets are critical for success. Preferred Skills: Proficiency in Python and NLP libraries such as OpenAIs GPT, LangChain, etc. Knowledge of Large Language Models (LLMs) and fine-tuning techniques Retrieval-Augmented Generation (RAG) for improving AI response Experience in API development and hosting (IIS preferred) Basic understanding of SQL Expertise in training, tuning, deploying, and leveraging models with SQL databases Technical Skills: Proficiency in programming languages such as Python, R, or Java Ability to integrate AI models into existing systems and applications Strong knowledge of machine learning algorithms (e.g., regression, classification, clustering) Experience with deep learning frameworks such as TensorFlow and PyTorch Expertise in data manipulation and cleaning techniques Familiarity with cloud platforms (AWS, Azure, GCP) for AI deployment Interested candidates kindly share your CV and below details to usha.sundar@adecco.com 1) Present CTC (Fixed + VP) - 2) Expected CTC - 3) No. of years experience - 4) Notice Period - 5) Offer-in hand - 6) Reason of Change - 7) Present Location -

You'll need to have: Bachelors degree in Computer Science, Statistics, Engineering, Mathematics, or a related quantitative field. Six or more years of professional experience in data science, machine learning, or a related role. Expert-level hands-on proficiency in Python and its core data science libraries (e.g., Pandas, NumPy, Scikit-learn, Matplotlib). Deep theoretical and practical knowledge of a wide range of machine learning algorithms (e.g., classification, regression, clustering, ensemble methods) and deep learning. Proven hands-on experience developing and deploying Generative AI solutions, with a strong understanding of LLMs, transformers, and vector databases. Experience with Multi-Modal RAG systems (handling text, images, and other data types). Strong proficiency in SQL for complex data extraction, manipulation, and analysis on large-scale datasets. Hands-on experience with cloud computing platforms, specifically Google Cloud Platform (GCP) and its AI/ML services. Even better if you have: A Master’s or Ph.D. in a relevant quantitative field. Practical experience in developing AI agents using frameworks like LangChain, Agent Development Kit (ADK), or LlamaIndex. Experience in designing and implementing robust LLM evaluation metrics and frameworks (e.g., RAGAS, ARES, TruLens) Experience with voice and speech technologies, such as Speech-to-Text (STT), Text-to-Speech (TTS), and building conversational AI or voicebot systems. Experience with MLOps/LLMOps principles and tools (e.g., Docker, Kubernetes, CI/CD pipelines for models, MLflow). GCP Professional Machine Learning Engineer certification.

Ready to shape the future of work At Genpact, we don&rsquot just adapt to change&mdashwe drive it. AI and digital innovation are redefining industries, and we&rsquore leading the charge. Genpact&rsquos , our industry-first accelerator, is an example of how we&rsquore scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to , our breakthrough solutions tackle companies most complex challenges. If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that&rsquos shaping the future, this is your moment. Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions - we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation , our teams implement data, technology, and AI to create tomorrow, today. Get to know us at and on , , , and . Inviting applications for the role of Lead Consultant-Data Scientists with AI and Generative Model experience! We are currently looking for a talented and experienced Data Scientist with a strong background in AI, specifically in building generative AI models using large language models, to join our team. This individual will play a crucial role in developing and implementing data-driven solutions, AI-powered applications, and generative models that will help us stay ahead of the competition and achieve our ambitious goals. Responsibilities . Collaborate with cross-functional teams to identify , analyze , and interpret complex datasets to develop actionable insights and drive data-driven decision-making. . Design, develop, and implement advanced statistical models, machine learning algorithms, AI applications, and generative models using large language models such as GPT-3, BERT and also frameworks like RAG, Knowledge Graphs etc. . Communicate findings and insights to both technical and non-technical stakeholders through clear and concise presentations, reports, and visualizations. . Continuously monitor and assess the performance of AI models, generative models, and data-driven solutions, refining and optimizing them as needed. . Stay up-to-date with the latest industry trends, tools, and technologies in data science, AI, and generative models, and apply this knowledge to improve existing solutions and develop new ones. . Mentor and guide junior team members, helping to develop their skills and contribute to their professional growth. Qualifications we seek in you: Minimum Qualifications . Bachelor%27s or Master%27s degree in Data Science , Computer Science, Statistics, or a related field. . Experience in data science, machine learning, AI applications, and generative AI modelling. . Strong expertise in Python, R, or other programming languages commonly used in data science and AI, with experience in implementing large language models and generative AI frameworks. . Proficient in statistical modelling, machine learning techniques, AI algorithms, and generative model development using large language models such as GPT-3, BERT, or similar frameworks like RAG, Knowledge Graphs etc. . Experience working with large datasets and using various data storage and processing technologies such as SQL, NoSQL, Hadoop, and Spark. . Strong analytical, problem-solving, and critical thinking skills, with the ability to draw insights from complex data and develop actionable recommendations. . Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams and explain complex concepts to non-technical stakeholders. Preferred Qualifications/ skills . Experience in deploying AI models, generative models, and applications in a production environment using cloud platforms such as AWS, Azure, or GCP. . Knowledge of industry-specific data sources, challenges, and opportunities relevant to Insurance . Demonstrated experience in leading data science projects from inception to completion, including project management and team collaboration skills. Why join Genpact Be a transformation leader - Work at the cutting edge of AI, automation, and digital innovation Make an impact - Drive change for global enterprises and solve business challenges that matter Accelerate your career - Get hands-on experience, mentorship, and continuous learning opportunities Work with the best - Join 140,000+ bold thinkers and problem-solvers who push boundaries every day Thrive in a values-driven culture - Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. Let&rsquos build tomorrow together. Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color , religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation. Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a %27starter kit,%27 paying to apply, or purchasing equipment or training.

Summary: We are seeking an experienced AI Engineer with 4 to 5 years of experience to join our team. The ideal candidate will have a strong background in artificial intelligence and machine learning technologies, as well as a proven track record of developing innovative solutions. Roles and Responsibilities: - Design and develop AI algorithms and models to solve complex business problems - Implement and optimize machine learning algorithms for real-time applications - Collaborate with cross-functional teams to integrate AI solutions into existing systems - Conduct research and stay up-to-date on the latest advancements in AI technology - Provide technical guidance and mentorship to junior team members - Participate in code reviews and contribute to the overall software development process Qualifications: - Bachelor's degree in Computer Science, Engineering, or related field - 4 to 5 years of experience in AI development - Strong programming skills in languages such as Python, Java, or C++ - Experience working with Langchain, LangGraph, and vector databases (e.g., Pinecone, ChromaDB, FAISS). - Hands-on experience with Hugging Face ecosystem including transformers etc. - Proficiency in model serving and deployment, using tools like FastAPI, Hugging Face Inference Endpoints, or AWS SageMaker for scalable and production-grade AI applications. - Strong understanding of prompt engineering, retrieval-augmented generation (RAG), and tokenization/token-level optimization. - Proven experience with fine-tuning and deploying LLMs (e.g., LLaMA, Mistral, Falcon, OpenAI, or Hugging Face Transformers). -Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn - Knowledge of cloud computing platforms such as AWS or Azure - Excellent problem-solving and analytical skills - Strong communication and teamwork abilities

Role & responsibilities 5 Years -11 Years Joining location - Pune Notice period - immediate to 60days Primary Skills Data Science, Python, Machine Learning Mandatory Skills Deep Learning/NLP, Computer Vision, Gen AI/LLM, Cloud (AWS / Azure / GCP) Core Skills Python, NLP, LLMs, Data Science Must-Have Experience with LLM-based Gen AI applications, prompt engineering, Langchain and/or Llama-index Nice-to-Have BERTopic/Topic Modelling, HuggingFace, Responsible AI concepts Preferred candidate profile

We are seeking a Software Engineer with expertise in AI/ML and Full stack development to contribute to the development of core platform features. This role involves designing, developing, and optimizing high-performance AI-driven applications, building scalable microservices, and ensuring seamless integration across AI, backend, and frontend systems. You will play a key role in developing workflow automation modules, AI-powered search engines, and scalable enterprise solutions. Skills: P1 (must to have Skills) Generative AI Expertise/ AI Agents, Agentic Workflows/ RAG/ Prompt Engineering / Advanced Python Programming / LangChain / LangGraph / Vector Databases. P2 (need to have Skills ) FastAPI, NodeJS / Intuitive UI/UX Design: Either React or Typescript or Next.js. P3 (nice to have Skills) LlamaIndex / Integration of SLM/LLMs. Required Skills Generative AI Expertise : Advanced knowledge in AI Agents, Agentic Workflows, Retrieval-Augmented Generation (RAG), and Prompt Engineering. Advanced Python Programming : Proficiency in Python, particularly for AI-driven applications, with experience in frameworks like LangChain and LangGraph. Vector Databases : Strong skills in managing and utilizing vector databases for AI solutions. FastAPI & NodeJS : Experience in building backend services using FastAPI or NodeJS. UI/UX Design : Ability to design and implement intuitive user interfaces, with beginner to intermediate proficiency in React. LlamaIndex & SLM/LLM Integration : Familiarity with LlamaIndex and expertise in integrating System Language Models/Large Language Models into applications. Preferred Education and Experience: Bachelors/masters degree in computer science, AI, Machine Learning, or related field. At least 3 years in full-stack development with a focus on AI. Proven track record leading small engineering teams and delivering complex AI-driven products. Direct client-facing experience, from requirements gathering to final delivery.

Job Title: Gen AI Developer (Azure + ML) Location: Gurugram (Work from Office / Hybrid as applicable) Experience: 5+ Years Employment Type: Full-time Job Overview: We are looking for a Generative AI Developer with strong hands-on experience in Microsoft Azure and Machine Learning to join our team in Gurugram . The ideal candidate should be proficient in building and deploying GenAI-powered applications using Azure OpenAI , along with solid experience in traditional ML pipelines . Key Responsibilities: Design and develop scalable Gen AI solutions using Azure OpenAI , Cognitive Services, and Azure ML. Build and deploy ML models for tasks like classification, regression, and recommendation. Implement RAG (Retrieval-Augmented Generation) architectures using vector databases (e.g., ChromaDB, FAISS, Azure Search). Orchestrate LLM workflows using tools like LangChain , Transformers , or LlamaIndex . Develop APIs/microservices to expose GenAI and ML capabilities for downstream integration. Collaborate with cross-functional teams including data engineers and product managers to deploy solutions in production. Ensure scalability, cost-efficiency, and security of AI/ML workloads on Azure. Must-Have Skills: Strong experience with Azure OpenAI , Azure Cognitive Services , and Azure Machine Learning Studio . Proficiency in Python , Transformers , and ML frameworks (scikit-learn, PyTorch, or TensorFlow). Experience with LangChain , embedding models , and vector search technologies. Understanding of ML lifecycle: data processing, feature engineering, model training, evaluation, and deployment. Experience building RESTful APIs for model consumption. Familiarity with version control , DevOps practices , and containerization (Docker). Nice to Have: Knowledge of prompt engineering , fine-tuning LLMs , or custom training . Exposure to MLOps tools like MLflow or DVC. Experience with Power BI , Azure Synapse , or Databricks is a plus. Prior experience working in domains like finance, retail, or legal tech. Preferred Certifications: Microsoft Certified: Azure AI Engineer Associate (AI-102) Microsoft Certified: Azure Data Scientist Associate (DP-100)

Role & responsibilities 4+ years of work experience as a Data Scientist Design and implement ML models for forecasting, classification, and clustering. Apply deep learning techniques and fine-tune models for performance optimization. Perform feature engineering and statistical analysis using Python (Pandas, NumPy). Operationalize models using ML Ops practices and deploy on cloud platforms (Azure/AWS/GCP). Strong proficiency in Python, SQL, Docker, and version control tools. Expertise in statistics, Pandas, NumPy, and ML algorithms. Experience with deep learning, feature engineering, and model fine-tuning. Familiarity with ML Ops and AI services on Azure, AWS, or GCP. Intersted Candidates can share your updated resume at jayanthbs@kpmg.com

We are seeking an experienced AI/ML Developer to design, develop, and deploy advanced machine learning, computer vision, and natural language processing (NLP) solutions. This role requires expertise in AI-driven development, automation, and deep learning to build scalable and efficient applications. Key Responsibilities: 1. Design, develop, and implement AI/ML models for real-world applications. 2. Work with computer vision technologies using OpenCV and Tesseract for image processing and OCR tasks. 3. Develop and optimize NLP models for text analysis, sentiment detection, and chatbot applications. 4. Implement Agentic AI solutions to create adaptive and autonomous AI-driven systems. 5. Utilize TensorFlow to build and fine-tune deep learning models. 6. Optimize model performance, accuracy, and scalability for production environments. 7. Integrate AI/ML solutions with web and mobile applications. 8. Process, clean, and analyze large datasets for training and validation. 9. Collaborate with cross-functional teams to align AI solutions with business objectives. 10. Stay updated with emerging advancements in AI, ML, and deep learning. Required Skills & Expertise: 1. Python Proficiency Strong programming skills in Python for AI/ML applications. 2. Computer Vision & OCR Hands-on experience with OpenCV and Tesseract. 3. NLP & Text Processing – Expertise in Natural Language Processing techniques. 4. Deep Learning – Experience with TensorFlow, model training, and neural networks. 5. Agentic AI – Understanding of AI agents, autonomous decision-making, and self-learning models. 6. Data Preprocessing & Augmentation – Ability to clean and preprocess large datasets. 7. Optimization & Deployment – Experience with model fine-tuning, GPU acceleration, and cloud deployment. 8. Version Control & CI/CD – Familiarity with Git, MLOps, and deployment pipelines. Preferred Skills: Experience with PyTorch, Hugging Face, LangChain, Reinforcement Learning, and Edge AI . Knowledge of LLMs (Large Language Models) and Generative AI .

You will be joining a company that specializes in Identity and Access Management (IAM) and Customer Identity and Access Management (CIAM), offering advanced solutions to enhance security for your workforce, customers, and partners. The company also provides cutting-edge security solutions for various popular CMS and project management platforms such as Atlassian, WordPress, Joomla, Drupal, Shopify, BigCommerce, and Magento. The solutions offered are precise, effective, and focused on improving overall security measures. As an AI/ML Engineer with our team, you will play a crucial role in developing innovative AI-powered products and solutions. The ideal candidate for this position should possess a minimum of 10 years of hands-on experience in creating and implementing advanced AI and ML models and related software systems. This is a full-time employee position based in Baner, Pune. Your responsibilities will include developing machine learning and deep learning models and algorithms to address complex business challenges, enhance processes, and improve product functionality. You will work on deploying personalized large language models (LLMs), developing systems for document parsing, named entity recognition (NER), retrieval-augmented generation (RAG), and chatbots, as well as building robust data and ML pipelines for production scalability and performance. Additionally, you will optimize machine learning models for better performance, scalability, and accuracy using techniques like hyperparameter tuning and model optimization. It is crucial to write high-quality, production-ready code using frameworks such as PyTorch or TensorFlow and stay updated on the latest advancements in AI/ML technologies and tools. To qualify for this role, you should hold a Bachelor's or Master's Degree in Computer Science, Data Science, Computational Linguistics, Natural Processing (NLP), or related fields. You must have extensive experience in developing and deploying machine learning models and algorithms, with proficiency in AI/ML frameworks such as TensorFlow, PyTorch, and scikit-learn. Strong programming skills in Python, Java, or C++ are necessary, along with familiarity with web frameworks like FastAPI, Flask, Django, and agentic AI frameworks such as LangChain, LangGraph, AutoGen, or Crew AI. Knowledge of Data Science and MLOps, including ML/DL, Generative AI, containerization (Docker), and orchestration (Kubernetes) for deployment is essential. Experience with cloud platforms like AWS, Azure, and GCP, as well as AI/ML deployment tools, is highly beneficial. In this role, you will have the opportunity to work with a team of talented individuals in a stable, collaborative, and supportive work environment. You will be constantly exposed to new technologies and have the chance to expand your skills and knowledge in the field of AI/ML. Your communication and collaboration skills will be put to the test as you collaborate with stakeholders to understand business requirements, define project objectives, and deliver AI/ML solutions that meet customer needs and drive business value.,

As a hands-on backend expert, you will be responsible for taking our FastAPI-based platform to the next level by building production-grade model-inference services, agentic AI workflows, and seamless integration with third-party LLMs and NLP tooling. Please note that this role is being hired for one of our client companies, and the company name will be disclosed during the interview process. In this role, you will have the opportunity to work on the following key areas: Core Backend Enhancements: - Build APIs - Harden security with OAuth2/JWT, rate-limiting, SecretManager, and observability with structured logging and tracing - Implement CI/CD, test automation, health checks, and SLO dashboards Awesome UI Interfaces: - Develop UI interfaces using React.js/Next.js, Redact/Context, and various CSS frameworks like Tailwind, MUI, Custom-CSS, and Shadcn LLM & Agentic Services: - Design micro/mini-services to host and route to OpenAI, Anthropic, local HF models, embeddings, and RAG pipelines - Implement autonomous/recursive agents that orchestrate multi-step chains including Tools, Memory, and Planning Model-Inference Infrastructure: - Set up GPU/CPU inference servers behind an API gateway - Optimize throughput with batching, streaming, quantization, and caching using technologies like Redis and pgvector NLP & Data Services: - Own the NLP stack focusing on Transformers for classification, extraction, and embedding generation - Build data pipelines that combine aggregated business metrics with model telemetry for analytics You will be working with the following tech stack: - Python, FastAPI, Starlette, Pydantic - Async SQLAlchemy, Postgres, Alembic, pgvector - Docker, Kubernetes, or ECS/Fargate on AWS or GCP - Redis, RabbitMQ, Celery for jobs and caching - Prometheus, Grafana, OpenTelemetry - HuggingFace Transformers, LangChain, Torch, TensorRT - OpenAI, Anthropic, Azure OpenAI, Cohere APIs - Pytest, GitHub Actions - Terraform or CDK To be successful in this role, you must have: - 3+ years of experience building production Python REST APIs using FastAPI, Flask, or Django-REST - Strong SQL schema design and query optimization skills in Postgres - Deep knowledge of async patterns and concurrency - Hands-on experience with UI applications that integrate with backend APIs - Experience with RAG, LLM/embedding workflows, prompt-engineering, and agent-ops frameworks - Cloud container orchestration experience - Proficiency in CI/CD pipelines and infrastructure-as-code Nice-to-have experience includes familiarity with streaming protocols, NGINX Ingress, RBAC, multi-tenant SaaS security, data privacy, event-sourced data models, and more. This role is crucial as our products are live and evolving rapidly. You will have the opportunity to own systems end-to-end, scale AI services, work closely with the founder, and shape the future of our platform. If you are seeking meaningful ownership and enjoy working on challenging, forward-looking problems, this role is perfect for you.,

The Implementation Technical Architect role focuses on designing, developing, and deploying cutting-edge Generative AI (GenAI) solutions using the latest Large Language Models (LLMs) and frameworks. Your responsibilities include creating scalable and modular architecture for GenAI applications, leading Python development for GenAI applications, building tools for automated data curation, integrating solutions with cloud platforms like Azure, GCP, and AWS, applying advanced fine-tuning techniques to optimize LLM performance, establishing LLMOps pipelines, ensuring ethical AI practices, implementing Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation techniques, collaborating with front-end developers, and more. Key Responsibilities: - Design and Architecture: Create scalable and modular architecture for GenAI applications using frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Python Development: Lead the development of Python-based GenAI applications, ensuring high-quality, maintainable, and efficient code. - Data Curation Automation: Build tools and pipelines for automated data curation, preprocessing, and augmentation to support LLM training and fine-tuning. - Cloud Integration: Design and implement solutions leveraging Azure, GCP, and AWS LLM ecosystems, ensuring seamless integration with existing cloud infrastructure. - Fine-Tuning Expertise: Apply advanced fine-tuning techniques such as PEFT, QLoRA, and LoRA to optimize LLM performance for specific use cases. - LLMOps Implementation: Establish and manage LLMOps pipelines for continuous integration, deployment, and monitoring of LLM-based applications. - Responsible AI: Ensure ethical AI practices by implementing Responsible AI principles, including fairness, transparency, and accountability. - RLHF and RAG: Implement Reinforcement Learning with Human Feedback (RLHF) and Retrieval-Augmented Generation (RAG) techniques to enhance model performance. - Modular RAG Design: Develop and optimize Modular RAG architectures for complex GenAI applications. - Open Source Collaboration: Leverage Hugging Face and other open-source platforms for model development, fine-tuning, and deployment. - Front-End Integration: Collaborate with front-end developers to integrate GenAI capabilities into user-friendly interfaces. Required Skills: - Python Programming: Deep expertise in Python for building GenAI applications and automation tools. - LLM Frameworks: Proficiency in frameworks like Autogen, Crew.ai, LangGraph, LlamaIndex, and LangChain. - Large-Scale Data Handling & Architecture: Design and implement architectures for handling large-scale structured and unstructured data. - Multi-Modal LLM Applications: Familiarity with text chat completion, vision, and speech models. - Fine-tune SLM(Small Language Model) for domain specific data and use cases. - Prompt injection fallback and RCE tools such as Pyrit and HAX toolkit etc. - Anti-hallucination and anti-gibberish tools such as Bleu etc. - Cloud Platforms: Extensive experience with Azure, GCP, and AWS LLM ecosystems and APIs. - Fine-Tuning Techniques: Mastery of PEFT, QLoRA, LoRA, and other fine-tuning methods. - LLMOps: Strong knowledge of LLMOps practices for model deployment, monitoring, and management. - Responsible AI: Expertise in implementing ethical AI practices and ensuring compliance with regulations. - RLHF and RAG: Advanced skills in Reinforcement Learning with Human Feedback and Retrieval-Augmented Generation. - Modular RAG: Deep understanding of Modular RAG architectures and their implementation. - Hugging Face: Proficiency in using Hugging Face and similar open-source platforms for model development. - Front-End Integration: Knowledge of front-end technologies to enable seamless integration of GenAI capabilities. - SDLC and DevSecOps: Strong understanding of secure software development lifecycle and DevSecOps practices for LLMs.,

You will be responsible for designing, building, and deploying scalable NLP/ML models for real-world applications. Your role will involve fine-tuning and optimizing Large Language Models (LLMs) using techniques like LoRA, PEFT, or QLoRA. You will work with transformer-based architectures such as BERT, GPT, LLaMA, and T5, and develop GenAI applications using frameworks like LangChain, Hugging Face, OpenAI API, or RAG (Retrieval-Augmented Generation). Writing clean, efficient, and testable Python code will be a crucial part of your tasks. Collaboration with data scientists, software engineers, and stakeholders to define AI-driven solutions will also be an essential aspect of your work. Additionally, you will evaluate model performance and iterate rapidly based on user feedback and metrics. The ideal candidate should have a minimum of 3 years of experience in Python programming with a strong understanding of ML pipelines. A solid background and experience in NLP, including text preprocessing, embeddings, NER, and sentiment analysis, are required. Proficiency in ML libraries such as scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers, and spaCy is essential. Experience with GenAI concepts, including prompt engineering, LLM fine-tuning, and vector databases like FAISS and ChromaDB, will be beneficial. Strong problem-solving and communication skills are highly valued, along with the ability to learn new tools and work both independently and collaboratively in a fast-paced environment. Attention to detail and accuracy is crucial for this role. Preferred skills include theoretical knowledge or experience in Data Engineering, Data Science, AI, ML, RPA, or related domains. Certification in Business Analysis or Project Management from a recognized institution is a plus. Experience in working with agile methodologies such as Scrum or Kanban is desirable. Additional experience in deep learning and transformer architectures and models, prompt engineering, training LLMs, and GenAI pipeline preparation will be advantageous. Practical experience in integrating LLM models like ChatGPT, Gemini, Claude, etc., with context-aware capabilities using RAG or fine-tuning models is a plus. Knowledge of model evaluation and alignment, as well as metrics to calculate model accuracy, is beneficial. Data curation from sources for RAG preprocessing and development of LLM pipelines is an added advantage. Proficiency in scalable deployment and logging tooling, including skills like Flask, Django, FastAPI, APIs, Docker containerization, and Kubeflow, is preferred. Familiarity with Lang Chain, LlamaIndex, vLLM, HuggingFace Transformers, LoRA, and a basic understanding of cost-to-performance tradeoffs will be beneficial for this role.,

Join our high-growth product engineering team to contribute to building next-gen B2C platforms that cater to millions of users. We are seeking a tech-savvy leader with over 5 years of experience in backend architecture, scalable systems, and fast-paced product development. This is a hybrid role that combines technical depth with a strong product mindset. As a part of our team, you will be responsible for designing and developing scalable backend services utilizing Java (Spring Boot) and Python (FastAPI/Django). You will be involved in making architectural decisions related to cloud infrastructure, real-time data pipelines, and AI-powered systems. Collaboration with product, design, and DevOps teams will be key to deliver high-impact features that enhance user experience. The ideal candidate should demonstrate proficiency in Java and Python frameworks such as Spring Boot, Django, or FastAPI. Hands-on experience with microservices, streaming data pipelines, and event-driven architecture is essential. A strong working knowledge of Redis, PostgreSQL, PGVector, and cloud platforms like AWS or GCP is required. Exposure to AI/ML tools such as GPT, RAG, vector databases, and chatbot frameworks is a plus. Additionally, the ability to lead design reviews, mentor junior developers, and establish engineering best practices is highly valued. Bonus points will be awarded for experience in building or scaling significant B2C platforms, familiarity with frontend technologies like ReactJS for rapid dashboard development, and knowledge of containerization, CI/CD, and observability tools such as Grafana, Prometheus, OTEL. This position is based in Thane, Maharashtra, and offers a hybrid/on-site work mode.,

As a Senior QA Engineer at our company, you will be leading quality assurance for Generative AI (GenAI) solutions within our Digital Twin platform. Your role will involve focusing on the evaluation, reliability, and guardrails of AI-powered systems in production, going beyond traditional QA practices. Your responsibilities will include designing and implementing end-to-end QA strategies for applications using Node.js integrated with LLMs, RAG, and Agentic AI workflows. You will establish benchmarks and quality metrics for GenAI components, develop evaluation datasheets for LLM behavior validation, and conduct data quality testing for RAG databases. Additionally, you will perform A/B testing, define testing methodologies, collaborate with developers and AI engineers, build QA automation, and lead internal capability development by mentoring QA peers on GenAI testing practices. To be successful in this role, you should have at least 6 years of experience in software quality assurance, with a minimum of 3 years of experience in GenAI or LLM-based systems. You should possess a deep understanding of GenAI quality dimensions, experience in creating and maintaining LLM evaluation datasets, and familiarity with testing retrieval pipelines and RAG architectures. Preferred skills include experience with GenAI tools/platforms, exposure to evaluating LLMs in production settings, familiarity with prompt tuning and few-shot learning in LLMs, and basic scripting knowledge in Python, JavaScript, or TypeScript. If you are a passionate and forward-thinking QA Engineer with a structured QA discipline, hands-on experience in GenAI systems, and a strong sense of ownership, we encourage you to apply for this high-impact role within our innovative team.,

Title : GenAI Engineer Experience : 5+ Years (Relevant) No. Of Positions : 5 Location : Remote Mandatory Skills : Python, Langraph/Langchain, AWS, EKS, CICD, RAG, LLM. 5x GenAI Platform: Support BAU (recently onboarded projects), build out platform, experienced engineer, platform thinking, Python, Java, EKS, ideally GenAI o Understand RAG, LLMs, etc - To the level they're able to help build. o Experience working on GenAI platform projects.

Were Hiring! AI/ML Intern. Are you passionate about artificial intelligence and looking to kickstart your career in machine learning? Join EICE as an AI/ML Intern and get hands-on experience working on real-world challenges in machine learning, generative AI, and advanced domains like LLMs, GenAI, and retrieval-augmented generation (RAG/REAG). What youll work on: 1. Intelligent system development 2. Generative AI & data-driven solutions 3. Data preprocessing, model development & deployment 4. Cutting-edge projects using advanced AI technologies Internship Mode : onsite

Roles and Responsibilities Lead a team of AI developers to design, develop, and deploy large language models (LLM) solutions using OpenAI's RAGBank. Collaborate with cross-functional teams to identify business requirements and translate them into technical specifications for LLM development. Develop and maintain high-quality codebase for deployed LLM models, ensuring scalability, reliability, and performance. Participate in code reviews to ensure adherence to coding standards and best practices. Provide guidance on data preprocessing techniques for text data ingestion from various sources. Desired Candidate Profile 5-10 years of experience in developing AI/ML applications with expertise in LLMs. Strong understanding of OpenAI's RAGBank architecture and its application in natural language processing tasks. Proficiency in programming languages such as Python or similar technologies; knowledge of TensorFlow or PyTorch is an added advantage.

Greetings!!! This is in regards to a Job opportunity for AI Lead - Agentic AI & RAG with Datamatics Global Services Ltd. Position: AI Lead - Agentic AI & RAG Website: https://www.datamatics.com/ Job Location: Mumbai/Bangalore Job Description: Seeking a skilled AI Engineer to design and deliver a scalable, secure, and intelligent chatbot solution built entirely on the Microsoft Azure ecosystem. The solution will leverage Azure OpenAI, Azure Foundry, and Azure Cognitive Search to power a guided buying assistant with enterprise-grade compliance and AI-driven intelligence. Key Responsibilities & Required Expertise: 1.Deep hands-on experience with Retrieval-Augmented Generation (RAG) using Azure Cognitive Search and Azure Cosmos DB, including embedding generation, chunking, indexing, and semantic retrieval. 2.Strong knowledge of agentic AI design using Semantic Kernel, including task planning, tool/function calling, memory management, and autonomous reasoning flows. 3.Proven experience implementing multi-turn conversational agents using Azure OpenAI Service (GPT-4/4o) in inference-only mode, with secure prompt and session management. 4.Skilled in designing and optimizing prompt engineering strategies including system messages, dynamic templating, and user intent extraction. 5.Familiarity with Azure AI Studio and Azure Machine Learning for managing model deployments, testing, and monitoring. 6.Strong understanding of embedding models within Azure (e.g., text-embedding-ada-002 or Foundry-specific embeddings) for knowledge base enrichment and document understanding. 7. Expertise in building secure, compliant AI systems aligned with SOC 2, GDPR, and enterprise RBAC standards, ensuring no client data is used for training or fine-tuning. 8. Proficiency in Python, particularly with Azure SDKs, Semantic Kernel, and REST APIs for integrating AI into enterprise workflows. 9. Experience embedding AI-driven workflows into Azure-hosted applications, including React JS frontends and OutSystems low-code environments. 10. Ability to collaborate closely with architects, product managers, and UX teams to translate procurement workflows into intelligent assistant behavior.