Description

Build and deploy machine learning models, with a focus on generative AI, to solve complex data problems.

This role is hybrid.

Responsibilities

• Develop and maintain machine learning models using Python or R.
• Implement generative AI solutions and integrate LLMs into production workflows.
• Perform data wrangling, statistical analysis, and visualization on large datasets.
• Write efficient SQL queries to extract and manipulate data from cloud-based warehouses.
• Collaborate with engineering teams to deploy models using MLOps best practices.

Required Skills

• 5+ years of experience in Data Science or related technical roles.
• Proficiency in Python or R for statistical computing and modeling.
• Strong knowledge of classical machine learning algorithms and statistics.
• Hands-on experience with Generative AI tools and frameworks.
• Solid SQL skills and experience handling large-scale datasets.
• Experience with cloud platforms such as AWS, GCP, or Azure.
• Ability to visualize data effectively to communicate insights.

Preferred Skills

• Experience with MLOps, model deployment, and containerization.
• Knowledge of Deep Learning frameworks like TensorFlow or PyTorch.
• Exposure to NLP, LLMs, or Computer Vision projects.

Key Skills

Education

Any Graduate