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Urgent! JTek Software Solutions - Senior AI/ML Engineer/Lead Job Opening In Hyderabad – Now Hiring JTek Software Solutions Pvt Ltd

JTek Software Solutions Senior AI/ML Engineer/Lead



Job description

<p><p><b>JOB DESCRIPTION Senior AI/ML Engineer / Lead</b><br/><br/><b>Company Overview :</b><br/><br/>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<br/><br/><b>Job Title :</b> Senior AI/ML Engineer / Lead<br/><br/><b>Location :</b> Hyderabad (Onsite).<br/><br/><b>Experience :</b> 5+ years.<br/><br/><b>About the Role :</b><br/><br/>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.<br/><br/><b>Key Responsibilities :</b><br/><br/><b>LLM Development & Deployment :</b><br/><br/>- Design, build, and deploy customized LLM pipelines tailored to enterprise use cases.<br/><br/>- Implement end-to-end LLMOps workflows including model packaging, CI/CD, and monitoring.<br/><br/><b>RAG & Fine-Tuning :</b><br/><br/>- Implement RAG pipelines using vector databases (e.g., FAISS, Pinecone, Weaviate) and document ingestion frameworks (e.g., LangChain, Haystack).<br/><br/>- Fine-tune open-source LLMs (e.g., LLaMA, Falcon, Mistral, MPT) on proprietary datasets using frameworks like Hugging Face Transformers and PEFT/LoRA.<br/><br/><b>Solution Engineering :</b><br/><br/>- Translate business problems into ML/LLM solutions with clear problem framing and data strategy.<br/><br/>- Collaborate with product, data engineering, and domain teams to prototype and deliver scalable solutions.<br/><br/><b>Cross-Functional AI Applications :</b><br/><br/>- Apply ML/LLM solutions across multiple verticals such as legal document analysis, customer support automation, compliance, supply chain optimization, or medical NLP.<br/><br/>- Build domain-agnostic prompt engineering strategies and apply zero-shot/few-shot learning where appropriate.<br/><br/><b>Leadership & Mentorship :</b><br/><br/>- Mentor junior engineers and contribute to AI/ML best practices.<br/><br/>- Act as a thought partner in innovation and experimentation within the team and with external stakeholders.<br/><br/><b>Required Skills & Qualifications :</b><br/><br/><b>Must Have Skills :</b><br/><br/>- 5+ years of hands-on experience in ML/NLP, with a recent focus on LLMs and foundation models.<br/><br/>- Deep knowledge of Hugging Face ecosystem, PyTorch/TensorFlow, LangChain, OpenAI APIs, and popular model libraries.<br/><br/>- Experience deploying ML models to production using FastAPI, Docker, Kubernetes, or cloud-native tools (AWS/GCP/Azure).<br/><br/>- Familiarity with vector databases, embeddings, and search frameworks.<br/><br/>- Strong understanding of model evaluation metrics, bias/fairness in ML, and responsible AI practices.<br/><br/>- Ability to work cross-functionally with business, legal, and engineering teams.<br/><br/><b>Preferred Qualifications :</b><br/><br/>- Experience with RLHF (Reinforcement Learning from Human Feedback).<br/><br/>- Published work in open-source communities or AI research conferences.<br/><br/>- Familiarity with multi-modal AI, autoML, or agentic workflows is a plus.<br/><br/>- Prior work in regulated domains (e.g., finance, healthcare, legal).<br/><br/></p><br/></p> (ref:hirist.tech)


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