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Machine Learning Engineer - NLP / LLM

Machine Learning Engineer - NLP / LLM

MNR SolutionsChennai
5 days ago
Job description

About the Role :

We are seeking a highly skilled Machine Learning Engineer with deep expertise in Natural Language Processing (NLP) and Large Language Models (LLMs) to join our AI team. The ideal candidate will design, develop, and deploy advanced ML and deep learning solutions to power intelligent, human-like conversational systems and other AI-driven applications.

This is an exciting opportunity to work on cutting-edge projects involving multi-domain, multi-lingual dialogue systems and agentic architectures, shaping the next generation of intelligent customer interactions.

Key Responsibilities :

  • Design, develop, and implement machine learning and deep learning models for a wide range of business problems, with a focus on NLP applications.
  • Build multi-domain, multi-lingual, and task-oriented dialogue systems to support dynamic and personalized conversational experiences.
  • Translate business requirements and user stories into scalable technical solutions - from prototype to production.
  • Evaluate off-the-shelf tools vs. custom model development, collaborating with cross-functional teams to determine optimal approaches.
  • Own the end-to-end delivery of ML features - including research, model training, evaluation, deployment, and monitoring.
  • Develop tools, frameworks, and reusable ML libraries to accelerate AI solution development across teams.
  • Collaborate closely with product owners, data engineers, software developers, and other stakeholders to integrate ML solutions into production systems.
  • Follow best practices in CI / CD, testing, and model versioning for reliable and scalable ML pipelines.

Minimum Qualifications :

  • 8-12 years of total professional experience with at least 4+ years as a Machine Learning Engineer in production-grade AI systems.
  • Proven experience in developing NLP-based solutions, including chatbots, text classification, summarization, sentiment analysis, and conversational AI.
  • Strong understanding of deep learning architectures - including Transformers, RNNs, CNNs, and transfer learning techniques.
  • Solid grasp of Agentic Architectures and Large Language Models (LLMs).
  • Proficiency in Python and major ML / DL frameworks such as TensorFlow, PyTorch, or JAX.
  • Experience deploying models into cloud environments (AWS, GCP, Azure) and working with ML pipelines.
  • Excellent problem-solving, analytical, and communication skills.

    • Preferred Qualifications (Good to Have) :

  • Experience in retrieval-augmented generation (RAG) and LLM fine-tuning.
  • Familiarity with vector databases, LangChain, or LLM orchestration frameworks.
  • Exposure to MLOps practices and tools like Kubeflow, MLflow, or Vertex AI.
  • Experience in multi-agent systems or reinforcement learning for conversational AI.
  • Understanding of data privacy, model governance, and ethical AI principles.

    • (ref : hirist.tech)

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