
JTek Software Solutions
16 hours ago
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).
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