Machine Learning Engineer (LLMs & Deep Learning) (Karnataka)

Position: Machine Learning Engineer (LLMs Deep Learning)

Location: Bangalore

Employment Type: 6 months Contract

We are looking for a skilled Machine Learning Engineer with solid 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. .