Source description
About the role
Role Overview : We are looking for a highly skilled AI/ML Engineer with hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Fine-Tuning. The ideal candidate will have experience building, deploying, and optimizing production-grade AI solutions while working closely with cross-functional teams to solve real-world business problems. This role offers an opportunity to work on cutting-edge Generative AI initiatives, build scalable AI systems, and contribute to innovative products leveraging the latest advancements in AI and Machine Learning. Key Responsibilities : AI/ML Model Development : - Design, develop, train, and deploy Machine Learning and Deep Learning models for business-critical use cases. - Build and optimize AI solutions using supervised, unsupervised, and generative AI techniques. - Perform data preprocessing, feature engineering, model selection, training, and evaluation. LLM & Generative AI Development : - Develop applications leveraging Large Language Models (LLMs) such as GPT, Llama, Claude, Gemini, Mistral, and other open-source models. - Implement and optimize Prompt Engineering techniques for various business use cases. - Fine-tune foundation models using domain-specific datasets to improve accuracy and performance. - Evaluate model outputs and continuously improve model effectiveness. RAG (Retrieval-Augmented Generation) Implementation : - Design and implement RAG-based architectures using vector databases and semantic search techniques. - Build knowledge retrieval systems integrating enterprise data sources. - Work with embedding models, document chunking strategies, indexing, and retrieval pipelines. - Optimize retrieval quality, latency, and response accuracy. Production Deployment & MLOps : - Deploy AI/ML solutions into production environments with scalability and reliability. - Build automated ML pipelines, monitoring frameworks, and model lifecycle management processes. - Implement model versioning, CI/CD practices, and performance tracking. - Ensure model observability, drift detection, and continuous improvement. Collaboration & Innovation : - Collaborate with product managers, data engineers, software developers, and business stakeholders. - Translate business requirements into scalable AI solutions. - Stay updated with emerging trends in AI, LLMs, RAG frameworks, and Generative AI technologies. - Contribute to technical discussions, architecture reviews, and innovation initiatives. Mandatory Skills : - Strong experience in AI/ML Model Development - Hands-on expertise in Large Language Models (LLMs) - Experience implementing RAG (Retrieval-Augmented Generation) frameworks - Model Fine-Tuning and optimization experience - Strong programming skills in Python - Experience with PyTorch, TensorFlow, Hugging Face Transformers - Knowledge of LangChain, LlamaIndex, Vector Databases (Pinecone, ChromaDB, Weaviate, FAISS, etc.) - Experience with Prompt Engineering and AI Agent frameworks - Understanding of MLOps concepts and production deployments Preferred Skills : - Experience with cloud platforms such as AWS, Azure, or GCP - Exposure to Kubernetes, Docker, and scalable AI deployments - Experience with AI Agents, Multi-Agent Systems, and Workflow Automation - Knowledge of NLP, Deep Learning, and Generative AI evaluation techniques - Familiarity with enterprise AI applications and knowledge management systems Qualification : - Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, or a related field. - Relevant AI/ML certifications will be an added advantage. Ideal Candidate Profile : - 3 to 7 years of hands-on experience in AI/ML engineering. - Passionate about Generative AI, LLMs, and emerging AI technologies. - Strong problem-solving and analytical mindset. - Ability to independently own AI solutions from concept to production. - Available to join within Immediate to 30 days Role Overview : We are looking for a highly skilled AI/ML Engineer with hands-on expertise in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Model Fine-Tuning. The ideal candidate will have experience building, deploying, and optimizing production-grade AI solutions while working closely with cross-functional teams to solve real-world business problems. This role offers an opportunity to work on cutting-edge Generative AI initiatives, build scalable AI systems, and contribute to innovative products leveraging the latest advancements in AI and Machine Learning. Key Responsibilities : AI/ML Model Development : - Design, develop, train, and deploy Machine Learning and Deep Learning models for business-critical use cases. - Build and optimize AI solutions using supervised, unsupervised, and generative AI techniques. - Perform data preprocessing, feature engineering, model selection, training, and evaluation. LLM & Generative