Key Responsibilities

• Design, develop, and deploy Generative AI solutions (LLMs, multimodal models, etc.) for enterprise use cases.
• Fine-tune and optimize large language models (e.g., OpenAI, Anthropic, Llama, Mistral, HuggingFace).
• Develop end-to-end AI pipelines including data preprocessing, model training, evaluation, and deployment.
• Build AI-powered applications (chatbots, copilots, knowledge assistants, automation tools).
• Collaborate with cross-functional teams (consultants, data engineers, cloud architects) to integrate AI solutions into enterprise workflows.
• Ensure security, scalability, and performance of deployed AI systems.
• Stay updated with the latest advancements in GenAI, RAG (Retrieval-Augmented Generation), and prompt engineering.

Required Skills & Experience

• 5–8 years of overall software engineering / AI/ML experience.
• Strong programming skills in Python (plus experience in frameworks like PyTorch, TensorFlow).
• Proven experience with LLMs (GPT, Llama, Claude, Mistral, Falcon, etc.).
• Hands-on expertise with LangChain, LlamaIndex, RAG frameworks, and vector databases (Pinecone, Weaviate, FAISS, Milvus).
• Cloud platforms: Azure AI, AWS Sagemaker, GCP Vertex AI
• Experience in building and deploying API-based AI services and microservices.
• Strong understanding of data engineering workflows (ETL, pipelines, unstructured text handling).
• Familiarity with MLOps & CI/CD for AI (MLflow, Docker, Kubernetes).
• Good problem-solving skills and ability to translate business requirements into AI solutions.

Disclaimer:

Please Note: Fraudulent job postings/job scams are increasingly common. Beware of misleading advertisements and fraudulent communication issuing ‘offer letters’ on behalf of Hadron GBS in exchange for a fee. Please look for an authentic Hadron GBS email ID – [email protected].

Stay vigilant. Protect yourself from recruitment fraud!

To know more, please visit: https://www.hadrongbs.com/career/