Machine Learning Engineer

7 days ago


Gujarat University Ahmedabad Gujarat, India Huly Corp Full time ₹ 68,900 - ₹ 16,15,416 per year

Location: Remote

Employment Type: Full-Time

About the Role

We are looking for a Machine Learning Engineer / AI Specialist with strong experience in training and fine-tuning Large Language Models (LLMs) on domain-specific or proprietary datasets. The ideal candidate will have hands-on expertise in customizing foundation models, optimizing performance for specific business use cases, and ensuring scalable deployment.

Responsibilities

  • Design and implement pipelines for fine-tuning and adapting LLMs using custom datasets.
  • Preprocess, clean, and structure unstructured and structured data for training.
  • Experiment with different model architectures, fine-tuning strategies, and parameter-efficient methods (LoRA, adapters, quantization, etc.).
  • Evaluate model outputs using quantitative and qualitative metrics, ensuring accuracy, robustness, and safety.
  • Collaborate with product and engineering teams to integrate trained models into applications.
  • Stay updated on the latest advancements in LLM research, open-source tools, and frameworks.

Requirements

  • Strong background in Machine Learning / NLP, with practical experience in LLM fine-tuning.
  • Hands-on expertise with frameworks such as PyTorch, Hugging Face Transformers, LangChain, or similar.
  • Experience working with vector databases (e.g., Pinecone, Weaviate, FAISS) and RAG pipelines.
  • Proficiency in Python and common ML libraries.
  • Familiarity with cloud platforms (AWS, GCP, Azure) for scalable training and deployment.
  • Solid understanding of evaluation metrics, prompt engineering, and safety considerations in LLM applications.

Nice to Have

  • Experience with multi-modal models (text + images, speech, etc.).
  • Knowledge of MLOps and productionizing ML systems.
  • Prior work with enterprise-grade AI deployments.

What We Offer

  • Opportunity to work on cutting-edge AI and LLM customization projects.
  • Flexible remote/hybrid setup.
  • Competitive compensation and growth potential.
  • Collaborative, innovative, and forward-thinking team culture.

Job Type: Full-time

Pay: ₹689, ₹1,615,416.99 per year

Expected Start Date: 01/09/2025



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