Description

You will build and deploy machine learning and AI-driven solutions across various domains.

Responsibilities

• Develop, evaluate, and deploy ML, LLM, Generative AI, and Computer Vision models in production environments.
• Execute data exploration, feature engineering, and continuous model refinement.
• Collaborate with data engineering, software engineering, and product managers to ensure technical feasibility.
• Own end-to-end deliverables through independent problem-solving and execution.
• Apply recent advancements in AI/ML to active projects.

Required Skills

• 5+ years of experience in applied data science.
• Strong programming proficiency in Python.
• Hands-on experience with scikit-learn, pandas, TensorFlow, and PyTorch.
• Deep understanding of Machine Learning, Deep Learning, NLP, and Statistics.
• Practical knowledge of LLMs and Generative AI.
• Experience implementing models like Random Forest.
• Ability to communicate technical concepts to engineering and product stakeholders.
• Any Graduate degree.

Key Skills

Education

Any Gradute