1664 AI Specialists jobs in Hyderabad

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

About the Role : We are looking for a talented and curious Generative AI Developer to join our growing AI team. In this role, you will work on cutting-edge projects involving large language models (LLMs), multimodal AI, and custom generative solutions for real-world use cases. You’ll collaborate with data scientists, ML engineers, and product teams to build, fine-tune, and deploy generative AI models that drive innovation and efficiency.

Key Responsibilities

• Develop and fine-tune LLMs and generative AI models for NLP, image, or multimodal tasks.
• Implement and optimize prompts, embeddings, and retrieval-augmented generation (RAG) pipelines.
• Integrate Gen AI capabilities into products, services, and enterprise applications.
• Collaborate with cross-functional teams (data science, product, backend) to deliver end-to-end AI features.
• Continuously evaluate new Gen AI tools, models (e.g., GPT, Claude, LLaMA, Mistral), and platforms (OpenAI, Hugging Face, LangChain, etc.).
• Ensure model performance, scalability, and safety through testing, monitoring, and feedback loops.
• Participate in research, POCs, and innovation sprints around Gen AI use cases.

Required Skills & Experience

• 2–4 years of hands-on experience in software development or machine learning, with at least 1 year in Generative AI or LLM-based projects.
• Proficiency in Python and experience with ML/AI libraries such as Hugging Face Transformers, PyTorch, or TensorFlow.
• Experience working with APIs from OpenAI, Anthropic, Cohere, or similar Gen AI providers.
• Familiarity with prompt engineering, vector databases (e.g., Pinecone, FAISS, Weaviate), and RAG techniques.
• Good understanding of model fine-tuning, transfer learning, and model evaluation.
• Strong problem-solving skills and ability to learn quickly in a fast-paced environment.
• Excellent communication and collaboration abilities.

Nice to Have

• Experience with LangChain, LlamaIndex, or other Gen AI orchestration tools.
• Exposure to cloud platforms (AWS, GCP, Azure) and MLOps tools.
• Knowledge of multimodal AI (text + image/audio/video).
• Contributions to open-source AI projects or research publications.

What We Offer

• Opportunity to work on cutting-edge AI technologies and real-world Gen AI applications.
• A collaborative and innovative culture that values experimentation.
• Access to top AI tools, models, and cloud infrastructure.
• Competitive compensation and benefits.
• Flexible work options and career growth opportunities.

Company Description

Established in 2014 and acquired by the HCL Group in 2022, GUVI (Grab Your Vernacular Imprint) is dedicated to providing effective and high-quality learning and skilling programs that transcend language barriers in technology education. With a focus on mastering tech skills in native languages, GUVI is trusted by over 3 million learners and more than 2000 corporate partners. Our platforms offer courses in 19 languages, facilitating education for a diverse audience. To learn more, please visit

Role Description

HCL–GUVI is looking for passionate mentors to deliver high-quality, hands-on learning experiences in Data Science, Artificial Intelligence, Machine Learning, and Generative AI . As a mentor, you will guide learners through real-world applications, practical coding exercises, and project-based learning.

This is an excellent opportunity for industry professionals and top-tier university graduates who are passionate about teaching and want to inspire the next generation of AI innovators.

Roles and Responsibilities

• Deliver engaging live interactive sessions (weekday evenings or weekends).
• Teach and mentor students in Data Science, AI/ML, and Generative AI concepts , including hands-on coding, projects, and case studies.
• Provide real-world insights by connecting theoretical concepts with industry applications.
• Assist learners with doubt clearing, assignments, and project guidance .
• Design and deliver practical exercises, coding challenges, and mini-projects to strengthen hands-on skills.
• Mentor students in best practices for coding, problem-solving, and research-oriented learning.
• Collaborate with the program team to continuously improve curriculum and learner engagement.

Qualifications

Educational Background :

• B.Tech / M.Tech / MS / PhD in Computer Science, Data Science, AI/ML, or related fields.
• Graduates or researchers from top-tier institutes (IITs, NITs, IISERs, etc.) preferred.

Professional Background :

• Working professionals from product-based companies or R&D labs strongly preferred.
• Strong industry exposure in Data Science, AI/ML, and Generative AI applications .

Technical Expertise :

• Proficiency in Python, SQL, Statistics, Machine Learning, Deep Learning, and Generative AI frameworks .
• Experience with tools and libraries such as Pandas, NumPy, Scikit-learn, TensorFlow, PyTorch, Hugging Face, LangChain, OpenAI APIs, etc.
• Familiarity with real-world AI projects in NLP, Computer Vision, LLMs, or Gen AI.

Soft Skills :

• Excellent communication and mentoring skills in English and Tamil .
• Ability to explain complex concepts in a simplified, engaging, and practical manner .
• A passion for teaching and guiding students.

Why Join Us?

• Competitive per-session pay with higher compensation for mentors from product-based companies and top-tier universities .
• Flexible teaching slots: weekday evenings or weekend batches .
• Opportunity to mentor aspiring AI/ML/Gen AI professionals and shape the future talent pool.
• Work with a leading EdTech platform (GUVI) backed by HCL with strong industry-academia presence.

Apply: Send CV to or DM Amit Arjun Verma.

Note : This is a freelancing mentorship opportunity – ideal for professionals who want to share their expertise while continuing their industry/research careers.