Orbion Infotech
ML+ LLM, NLP( Eng 4 yrs)
Orbion InfotechIndia1 day ago
Full-timeRemote FriendlyOther
About The Opportunity

Industry: Enterprise AI / Natural Language Processing (NLP). Sector: Large Language Model (LLM) products and NLP-driven automation for B2B applications including conversational AI, semantic search, and knowledge ingestion. Remote role based in India delivering production-grade ML systems and inference services.

Primary Job Title: Senior Machine Learning Engineer — NLP & LLM

Role & Responsibilities

  • Design, fine-tune and evaluate large language models for downstream NLP use-cases (chatbots, semantic search, summarization, QA) and deliver production readiness.
  • Implement robust data pipelines for text preprocessing, annotation ingestion, and training dataset creation to support supervised and instruction-tuning workflows.
  • Develop scalable model training and inference pipelines using Hugging Face / PyTorch / TensorFlow, including distributed training and mixed-precision optimization.
  • Productionize models: containerize, deploy and monitor LLM services with MLOps best practices (CI/CD, model versioning, canary rollout, observability).
  • Optimize inference throughput and cost: quantization, model distillation, batching, GPU/CPU resource management and vector-search integration (FAISS).
  • Collaborate with product managers, ML researchers and engineers to define evaluation metrics, A/B tests and continuous improvement loops for model quality and safety.

Skills & Qualifications

Must-Have

  • 4+ years of hands-on ML engineering experience with strong emphasis on NLP and LLM workflows.
  • Proven experience fine-tuning and deploying transformer-based models (Hugging Face Transformers).
  • Strong Python engineering skills and deep familiarity with PyTorch or TensorFlow.
  • Experience building production ML pipelines, containerization (Docker) and cloud deployment (AWS / GCP) with monitoring and CI/CD.

Preferred

  • Experience with LangChain or similar orchestration for model agents and tool-calling.
  • Hands-on knowledge of vector search systems (FAISS) and inference optimization techniques (quantization, distillation).

Benefits & Culture Highlights

  • Fully remote, India-based role with flexible hours and a strong focus on asynchronous collaboration.
  • Opportunity to own end-to-end LLM product features and influence architecture decisions in a fast-paced AI team.
  • Learning-first culture with support for conferences, courses and hands-on experimentation with cutting-edge ML tooling.

If you are passionate about shipping reliable, scalable LLM-powered products and have a strong track record in NLP engineering, this role offers a high-impact, remote opportunity to advance enterprise AI solutions.

Skills: nlp,ml,llm

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