01Overview
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. .
