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Unify Technologies - Lead Machine Learning Engineer - LLM / NLP

Unify Technologies - Lead Machine Learning Engineer - LLM / NLP

UNIFY TECHNOLOGIES PVT LTDHyderabad
30+ days ago
Job description

Employment Type : Full-Time

Role : Machine Learning Architect

Position : AI / ML Solutions Architect LLMs, Gen AI, NLP

Project : Advanced AI / ML Platforms Enterprise-Grade Solutions

Experience : 8+ Years

Key Skills : Machine Learning, LLMs, NLP, Generative AI, Python, Cloud Architecture, MLOps, Prompt Engineering

Number of Openings : 01

Joining Time : Immediate to 15 Days

Job Location : Gachibowli, Hyderabad India (Hybrid Work Mode)

Education : Masters / Bachelors degree in Computer Science, Artificial Intelligence, Engineering, or a related technical discipline preferred

Detailed Job Description :

Key Qualifications :

  • Minimum 8 years of experience in AI / ML with at least 2+ years in NLP, LLMs, and Generative AI.
  • Proven expertise in ML architecture design, end-to-end model development, and deployment in production systems.
  • Strong in Python with deep experience in ML libraries and frameworks such as TensorFlow, PyTorch, Hugging Face, and LangChain.
  • Sound knowledge of transformer models, embeddings, tokenization, and vector databases (e.g., FAISS, Pinecone).
  • Experience with cloud-native AI solutions on AWS, Azure, or GCP.
  • Familiarity with MLOps, model versioning, containerization (Docker), and orchestration tools (e.g., Kubeflow, MLflow).
  • Hands-on experience in designing and engineering prompts for LLMs to support use cases like summarization, classification, Q&A, and content generation.
  • Strong understanding of retrieval-augmented generation (RAG) and techniques to combine structured / unstructured data with LLMs.
  • Excellent problem-solving skills, architectural thinking, and ability to lead complex AI initiatives.
  • Strong communication, stakeholder management, and technical leadership capabilities.

Roles & Responsibilities :

  • Architect and implement scalable AI / ML solutions across multiple domains using modern ML, NLP, and Gen AI technologies.
  • Design and develop LLM-powered applications, optimizing for prompt engineering, fine-tuning, and inference performance.
  • Lead the design of AI pipelines and integrate ML components into production systems using MLOps and CI / CD practices.
  • Evaluate and recommend LLM models (OpenAI, Cohere, Claude, LLaMA, etc.) based on performance, cost, and alignment with use cases.
  • Collaborate with data scientists, ML engineers, and software teams to develop reusable ML components and foundational architectures.
  • Drive model validation, A / B testing, and continuous monitoring of ML systems in production environments.
  • Contribute to the development of an enterprise AI / ML platform that supports rapid experimentation and model lifecycle management.
  • Lead initiatives on Gen AI strategy, security, and responsible AI practices.
  • Mentor junior engineers and promote best practices in ML / AI development across the team.
  • Stay up-to-date with emerging trends in LLMs, AI tooling, and open-source technologies

    • (ref : hirist.tech)

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