Machine Learning Engineer (LLMs & Deep Learning)

Position: Machine Learning Engineer (LLMs Deep Learning) Location: Bangalore Employment Type: 6 months Contract We are looking for a skilled Machine Learning Engineer with strong expertise in deep learning and large language models (LLMs). The role requires end-to-end experience across model development, training, deployment, and optimization. Key Responsibilities Skills: Proficiency in Python for machine learning and data science tasks. Practical experience with deep learning frameworks : PyTorch and/or TensorFlow. Strong foundation in supervised unsupervised learning algorithms (classification, regression, clustering, dimensionality reduction). Experience building, fine-tuning, and evaluating neural network models , especially transformer-based architectures used in LLMs . Familiarity with ML libraries: NumPy, pandas, scikit-learn, matplotlib . Hands-on use of LLMs with frameworks like HuggingFace Transformers, OpenAI API, or similar. Prompt engineering and context formulation for optimizing LLM outputs. Expertise in data preprocessing, cleaning, and pipeline creation for large and unstructured datasets. Practical skills in model deployment serving using Docker, FastAPI/Flask, or related APIs. Familiarity with MLOps concepts : MLflow (model versioning), Airflow (workflow automation), Docker/Kubernetes (containerization). Strong grasp of model validation testing best practices (train/test splits, cross-validation, metrics). Ability to work with standard ML data formats: CSV, JSON, etc.