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ML+ LLM, NLP( Eng 4 yrs)

ML+ LLM, NLP( Eng 4 yrs)

Orbion Infotech

4 years

0 Lacs

india

Posted:16 hours ago| Platform:

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Skills Required

ai processing model automation ml inference learning design summarization data preprocessing annotation training dataset support tuning pytorch tensorflow versioning quantization distillation management integration evaluation metrics engineering python containerization docker deployment aws gcp monitoring orchestration optimization architecture experimentation cutting shipping

Work Mode

Remote

Job Type

Full Time

Job Description

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 & LLMRole & 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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ML+ LLM, NLP( Eng 4 yrs)

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ML+ LLM, NLP( Eng 4 yrs)