Description

You will build, train, and deploy machine learning models for AI applications.

Responsibilities

• Develop, train, and fine-tune machine learning models for AI/ML applications.
• Design and implement data pipelines for processing, model training, and inference.
• Deploy models using MLOps and integrate them with cloud infrastructure.
• Research and implement ML and AI techniques to improve model performance.
• Collaborate with product managers and designers to conceptualize AI-driven features.

Required Skills

• 12+ years of experience in machine learning or related fields.
• Proficiency in Python and ML frameworks including Scikit-learn, XGBoost, TensorFlow, and PyTorch.
• Experience with SQL and ETL data pipelines, data processing, and feature engineering.
• Hands-on experience with Docker and container-based deployments.
• Strong understanding of Supervised Learning, Unsupervised Learning, Deep Learning, and Reinforcement Learning.
• Knowledge of at least one cloud platform (AWS, Azure, or GCP), with a preference for Azure.
• Understanding of various statistical models.
• Bachelor's degree.

Preferred Skills

• Exposure to LLMs and foundation models such as OpenAI, Hugging Face, or Mistral.

Key Skills

Education

Bachelor's degree