3843 Nlp Jobs - Page 4

Location: Hyderabad / Pune / Bangalore / Delhi / Mumbai Key Skills & Responsibilities: Experience working with various ML libraries and packages such as Scikit-learn, Numpy, Pandas, TensorFlow, Matplotlib, Caffe, etc. Proficiency with deep learning frameworks including PyTorch, spaCy, and Keras. Working knowledge of deep learning architectures: LSTM, CNN, Self-Attention, and Transformers. Experience in image processing and computer vision is required. Designing data science applications, large language models (LLM), generative pre-trained transformers (GPT), generative AI techniques, natural language processing (NLP), machine learning techniques. Hands-on experience with Python, Jupyter Note...

Design & evaluate ML tasks, build datasets, run experiments & benchmark LLMs Strong Python skills, competition-grade expertise (Kaggle) & robust pipelines Experience with modern ML/NLP tools At dext ai, we refer candidates to AI-training companies Required Candidate profile At least 3 yrs experience of full-time ML development Prior experience in AI research or ML platforms Preferred: Background in GenAI models, LLMs or multimodal learning Contributions to Open-source Perks and benefits Work from home at $21 per hour

5+ years of hands-on experience as a Data Scientist Good experience with Large Language Models (LLMs) Hands-on experience with Machine Learning, NLP, Deep Learning, and Generative AI concepts Strong knowledge of Python programming and ML Ops Good understanding of Azure AI Foundry services Knowledge of Generative AI concepts, theories, and models Qualifications Bachelor of Technology

Design, develop, and deploy state-of-the-art ML and Generative AI models (e.g., LLMs, Transformers, Diffusion Models). Conduct applied research in areas such as NLP, time-series, reinforcement learning, computer vision, or multimodal learning. Collaborate with cross-functional teams including sales, data engineers, agentic AI, Hyperscalers, and MLOps. Qualifications Bachelor of Engineering

4+ years of experience in AI/ML. Proficient in: Python FastAPI Cloud (e.g., GCP) Langchain, LangGraph/CrewAI Docker/Kubernetes Classic ML, Deep Learning, Gen AI technologies, LLMs, NLP, Multi-agent frameworks Evaluation metrics and analysis of LLM ADK, MCP, etc. Hands-on experience in delivering production-grade AI/ML projects. Experience with deploying AI/ML models in production environments using cloud platforms like AWS, Azure, or GCP. Good experience in NLP, LLMs. Solid background in programming languages such as: Python SQL PySpark Hive Shell Scripting Experience with cloud platform AI stacks like AWS Bedrock, Azure AI, GCP Vertex AI is a plus.

Role Overview: As a Junior ML Engineer, you will be exposed to real-world machine learning systems from day one. You will support model development, testing, and deployment and also take ownership of core data tasks like ingestion, vectorization, and indexing that form the backbone of our AI search engine. This role is perfect for someone who wants to grow fast, work with state-of-the-art AI tools, and help shape the future of legal research. Key Responsibilities: - Assist in Building and Deploying AI Models - Support senior ML engineers in developing search relevance models using LLMs and RAG. - Help test and evaluate embedding quality, ranking performance, and retrieval accuracy. - Contrib...

Role Overview: At Phonologies, a pioneering speech technology company in India, you will be part of a team that is redefining the delivery of conversational AI and voice bots on phone systems. Your daily tasks will involve working with leading contact center providers, telephony systems, and CRM systems to develop cutting-edge customer interaction solutions. Key Responsibilities: - Develop and deploy ML models for real-world applications - Utilize Python, scikit-learn, and tools like MLFlow, Airflow, and Docker - Collaborate with engineering and product teams to build ML pipelines and monitor model performance - Ensure ethical and explainable AI by owning the model lifecycle and implementing...

As a ML/Dev Ops Engineer at DHI Consultancy, you will be responsible for the following: - Experience: You should have 5 to 10 years of experience in ML Engineering, MLOps, or DevOps roles with a focus on machine learning systems. - Immediate Joiner: You must be able to start immediately or within a very short notice period. - MLOps Tools: Expert-level proficiency with mlFlow, Seldon, and Kubeflow is required. - Data & Feature Engineering: Strong practical experience with Databricks and Tecton (or similar feature stores) is essential. - Cloud & Infrastructure: Deep knowledge of AWS services for computing, storage, networking, and security is necessary. - CI/CD & Automation: Proven ability to ...

As an experienced and highly motivated AI/ML Lead Developer, you will lead a team in developing advanced AI/ML solutions. Your primary focus will be on natural language processing (NLP) and NLU, with a secondary emphasis on computer vision and deep learning. Experience in chatbot development would be advantageous. **Key Responsibilities:** - Lead the development and implementation of advanced AI/ML algorithms for NLP, computer vision, and deep learning tasks - Collaborate with cross-functional teams to understand business requirements and develop solutions - Mentor and manage a team of AI/ML developers, guiding them in creating high-quality, scalable AI/ML models - Experiment with new AI/ML ...

As a visionary Generative AI Architect at EXL, you will be responsible for leading the design and deployment of intelligent solutions leveraging Large Language Models (LLMs), agentic frameworks, and advanced NLP techniques. Your role will emphasize deep expertise in LangChain, LangGraph, and agentic workflows to build scalable generative AI systems across insurance, healthcare, and financial services. **Key Responsibilities:** - Architect modular GenAI solutions using LLMs such as GPT, Claude, LLaMA, and Mistral with a focus on LangChain, LangGraph, and RAG. - Design and implement agent-based systems capable of reasoning, tool use, API integration, and memory management using LangChain agent...

As a Data Science and Machine Learning Senior Associate at TekWissen, you will play a crucial role in developing intelligent systems that drive the transition to a future-state PLM environment. Your responsibilities will include designing scalable AI/ML models, developing analytics prototypes, and partnering with business and architecture teams to automate solutions. To excel in this role, you will need expertise in Generative AI & LLMs, NLP & Text Mining, Classical Machine Learning, Data Processing and Wrangling, and proficiency in Python and Big Data & Cloud Technologies. Additionally, a mindset focused on First Principles & Systems Thinking, inquisitive problem-solving approach, and colla...

Role Overview: As a Data Science Manager, you will be responsible for leading and overseeing multiple projects in Generative AI and NLP. Your role will involve framing problem statements into analytical approaches, communicating with stakeholders effectively, and utilizing your strong mathematical background to understand algorithms and methods from both mathematical and intuitive viewpoints. Key Responsibilities: - Lead large AI engagements and oversee multiple projects - Handle client communication and frame problem statements into analytical approaches - Utilize strong programming skills in advanced Python, including OOPs - Extensive experience in Machine Learning/forecasting, including w...

Role Overview: You will be joining our team as an Analyst, where your main responsibility will involve gathering, interpreting, and utilizing data to support business decisions, identify trends, and offer actionable insights to enhance performance and drive strategic initiatives. Key Responsibilities: - Collect, process, and analyze data from both internal and external sources - Develop and maintain dashboards, reports, and key performance indicators (KPIs) - Analyze complex datasets to uncover trends, patterns, and opportunities - Deliver clear, concise, and actionable insights to stakeholders - Assist in strategic planning, forecasting, and business decision-making - Collaborate with cross...

As the Artificial Intelligence - Centre of Excellence Lead (AI COE Lead) at a leading global IT services and technology distribution company based in Chennai, your role is to champion the enterprise-wide adoption and strategic deployment of Artificial Intelligence, focusing on Generative AI and scalable LLMOps. You will be responsible for translating complex business challenges into high-impact, production-ready AI/ML solutions. Your key responsibilities and deliverables include: - Establishing and owning the Generative AI Stack, including fine-tuned Large Language Models (LLMs), domain-specific knowledge graphs, and Retrieval-Augmented Generation (RAG) systems. - Leading the development, tr...

Role Overview: As a hands-on technical leader at Berryworks, you will have the opportunity to build world-class solutions and mentor highly skilled engineers. Your contribution will significantly impact product development as you lead a globally distributed engineering team committed to excellence. You will be responsible for designing and developing enterprise-ready web and mobile applications, leading design discussions, exploring ML and NLP algorithms, influencing product design, and practicing time management in a dynamic environment. Key Responsibilities: - Leverage 8+ years of hands-on experience in designing and developing enterprise-ready web and mobile applications - Build product f...

Role Overview: You are an exceptional hands-on Artificial Intelligence Developer with a proven track record of experience in applying machine learning & Deep Learning methods. Your responsibilities include developing transformative AI solutions to address clients' business requirements and challenges, understanding the latest industrial and academic developments in AI/ML, creating prototypes for demonstration, conceptualizing, designing, building and developing prototypes, collecting requirements, creating effective product/feature roadmaps, and working with development teams to convert algorithms into production quality programs. Additionally, you will conduct applied research on text analy...

Role Overview: As a Generative AI Expertise, you will be expected to have in-depth knowledge of various Generative AI techniques including GANs (Generative Adversarial Networks), VAEs (Variational Autoencoders), and other relevant architectures. It is essential to have experience in both image and text generation. You should be conversant with Gen AI development tools like Prompt engineering, Langchain, Semantic Kernels, and Function calling. Exposure to both API based and open-source LLMs based solution design is required. Additionally, you must have proficient knowledge in Responsible AI and Data Privacy principles to ensure ethical data handling, transparency, and accountability in all st...

About The Role Capgemini is looking for senior level executive for F&A-AP Tower lead. Primary Skills Key accountabilities and responsibilities include: Strong Delivery management – work towards creating a no surprise delivery environment. Ability to manage all towers with a very strong experience and background in F&A. Drive the Transformation mindset first Create and drive a clear Transformation agenda and roadmap for the client(s) managed Explore market, learn from industry and client to bring in the best of the breed technology Think out of the box and think about the future path for delivery Work closely with client team to drive active growth within portfolio Represent delivery in clien...

About The Role Capgemini is looking for senior level executive for F&A. Primary Skills Key accountabilities and responsibilities include: Strong Delivery management – work towards creating a no surprise delivery environment. Ability to manage all towers with a very strong experience and background in F&A. Drive the Transformation mindset first Create and drive a clear Transformation agenda and roadmap for the client(s) managed Explore market, learn from industry and client to bring in the best of the breed technology Think out of the box and think about the future path for delivery Work closely with client team to drive active growth within portfolio Represent delivery in client pursuits and...

About the Role We are hiring a GenAI Engineer who can code, build, and deploy production-ready AI solutions. The ideal candidate is hands-on with Python, LLM frameworks (LangChain, LlamaIndex), and has experience in creating reusable agentic components. Youll work on integrating both OpenAI and open-source LLMs into scalable, cloud-based solutions that deliver real business value. Key Responsibilities Design, build, and deploy LLM-powered applications and agents for automation and workflow optimization Develop reusable agentic components aligned with our tech stack Work hands-on with Python, LangChain, and LlamaIndex Leverage OpenAI APIs and open-source LLMs (eg, GPT, LLaMA, Gemini, etc Prep...

Hiring: ML / GenAI Engineer (3+ Years) Face-to-Face Interview We are looking for a talented Machine Learning & GenAI Engineer with hands-on experience in building and deploying ML, Deep Learning, and LLM-based solutions. The ideal candidate will work on end-to-end ML pipelines, GenAI applications, and cloud-native AI systems. Experience: 3+ Years Interview Mode: Face-to-Face (Mandatory) Location: (Add location if needed) Key Responsibilities / Accountabilities Design, develop, train, and deploy production-grade ML, Deep Learning, and GenAI models across NLP, CV, and structured data use cases. Build scalable ML/GenAI solutions using TensorFlow, Keras, PyTorch, LangChain, etc. Develop end-to-e...

Position : Senior AI/ML Engineer (Only Immediate Joiner) Experience : 4 to 7 years Location : Bangalore (Marathahalli) Education : BE / M.Tech Job Type : On Role (Full Time) Shift : 9.30 am to 6.30 pm (5 days working) Job Description We are looking for an experienced Senior AI/ML Engineer who can design and deliver end-to-end AI solutions and lead technical implementation for enterprise-grade applications. The role involves building LLM-based systems, agentic AI workflows, NLP/OCR pipelines, RAG architectures and deploying scalable AI models on cloud. You will work closely with cross-functional teams to translate business workflows into AI automations, lead feature delivery and mentor junior...

Picture Yourself at Pega: As an experienced Senior Data Scientist with strong expertise in Large Language Models (LLMs), Predictive modeling, and Natural Language Processing (NLP) you will lead advanced analytics initiatives and mentor junior team members. The ideal candidate will combine a research-oriented mindset with exceptional hands-on Python coding skills and proven ability to communicate complex technical concepts to diverse stakeholders. You should have a track record of delivering impactful machine learning solutions while driving innovation through research and experimentation. What You'll Do at Pega: Design, develop, and deploy advanced machine learning models with focus on LLMs,...

Company Name: IBM Experience: 5-8 years Location: Bangalore/Hyderabad Interview Mode: Virtual Interview Rounds: 2 Rounds Notice Period: Immediate to 60 days Job description: Data Science & Deploying models in prod, pipeline, devOps exp. Programming: Expert proficiency in Python. AI Frameworks: Hands-on experience with LangChain / LangGraph, / LangSmith. API & Web Development: Experience with FastAPI / Pydantic / Streamlit. Cloud Platforms: Practical experience with at least one major cloud provider (GCP/AWS/Azure). AI/ML Concepts: Strong understanding of GenAI protocols, Reinforcement Learning, and techniques for fine-tuning large language models. System Building: Proven ability to build and...

We are seeking an experienced Generative AI Engineer to design, develop, and optimize AI models for text, image, video, and audio generation. The ideal candidate should have expertise in deep learning, natural language processing (NLP), transformer models (GPT, BERT, LLaMA, etc.), and multimodal AI. This role involves working with large-scale datasets, fine-tuning AI models, and deploying scalable AI solutions. Key Responsibilities: Design, develop, and fine-tune Generative AI models for text, image, video, and audio synthesis. Work with transformer architectures such as GPT, BERT, T5, Stable Diffusion, and CLIP. Implement and optimize LLMs (Large Language Models) using Hugging Face, OpenAI,...