JOB DESCRIPTION Senior AI/ML Engineer / Lead

Company Overview :

We are building an innovative marketplace platform that connects clients with professional investigation services. Our mission is to streamline the process of finding, hiring, and managing investigation services through a secure, scalable, and user-friendly platform

Job Title : Senior AI/ML Engineer / Lead

Location : Hyderabad (Onsite).

Experience : 5+ years.

About the Role :

We are seeking a highly skilled and hands-on Senior AI/ML Engineer with strong expertise in building and deploying custom Large Language Models (LLMs). The ideal candidate will have demonstrable experience in Retrieval-Augmented Generation (RAG) implementations, fine-tuning foundation models, and solving complex problems across domains using applied machine learning and natural language processing. This role is strategic and technical, requiring a blend of research, solution engineering, MLOps maturity, and domain adaptability.

Key Responsibilities :

LLM Development & Deployment :

- Design, build, and deploy customized LLM pipelines tailored to enterprise use cases.

- Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring.

RAG & Fine-Tuning :

- Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack).

- Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA.

Solution Engineering :

- Translate business problems into ML/LLM solutions with clear problem framing and data strategy.

- Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions.

Cross-Functional AI Applications :

- Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP.

- Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate.

Leadership & Mentorship :

- Mentor junior engineers and contribute to AI/ML best practices.

- Act as a thought partner in innovation and experimentation within the team and with external stakeholders.

Required Skills & Qualifications :

Must Have Skills :

- 5+ years of hands-on experience in ML/NLP, with a recent focus on LLMs and foundation models.

- Deep knowledge of Hugging Face ecosystem, PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries.

- Experience deploying ML models to production using FastAPI, Docker, Kubernetes, or cloud-native tools (AWS/GCP/Azure).

- Familiarity with vector databases, embeddings, and search frameworks.

- Strong understanding of model evaluation metrics, bias/fairness in ML, and responsible AI practices.

- Ability to work cross-functionally with business, legal, and engineering teams.

Preferred Qualifications :

- Experience with RLHF (Reinforcement Learning from Human Feedback).

- Published work in open-source communities or AI research conferences.

- Familiarity with multi-modal AI, autoML, or agentic workflows is a plus.

- Prior work in regulated domains (e.g., finance, healthcare, legal).