ML Engineer- Model Training

We are hiring entry-level AI/ML Engineers who will specialize in training, fine-tuning, and performance-optimizing both LLMs and traditional Machine Learning models. This role focuses on model-improvement and experimentation role.

This is a specialized role for those who enjoy experimentation, model tuning, and pushing AI systems to deliver better real-world results.

What You Will Do

• Fine-tune LLMs and domain-specific models using curated datasets
• Train custom models to improve accuracy, contextual understanding, and response quality
• Optimize model performance (latency, hallucination reduction, safety tuning, etc.)
• Evaluate outputs, run benchmarks, and iterate for continuous improvement
• Work closely with Product & Engineering teams to align model behavior to use-cases
• Build and maintain datasets required for model training & evaluation

What We’re Looking For

• Strong understanding of ML fundamentals, Transformers, embeddings, and LLM architecture
• Hands-on experience with HuggingFace, PyTorch, TensorFlow, LangChain, or similar tools
• Experience working on academic/side projects involving model training or fine-tuning
• Ability to experiment, test, validate, and iterate on model behavior
• Passion for applied AI and improving real-world model performance

Job Type: Full-time

Work Location: In person