
Machine Learning Engineer
6 days ago
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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