Description

You will lead the development and deployment of machine learning models and algorithms to solve complex business problems.

This role is hybrid.

Responsibilities

• Develop and implement machine learning models and algorithms using Python.
• Build end-to-end machine learning pipelines in collaboration with data scientists and engineers.
• Conduct experiments and model evaluations to ensure accuracy, scalability, and robustness.
• Optimize and fine-tune models for performance and efficiency.
• Execute ETL processes using SQL for data extraction, transformation, and analysis.

Required Skills

• 8+ years of professional software engineering or data science experience.
• Strong proficiency in Python.
• Extensive experience with machine learning fundamentals, including deep learning and optimization techniques.
• Practical experience with Generative AI, NLP, and Large Language Models (LLMs).
• Proven MLOps experience, including deploying models onto cloud platforms.
• Hands-on experience with ETL processes and SQL for data manipulation.
• Bachelor's degree or higher in Computer Science, Engineering, Mathematics, or a related field.

Preferred Skills

• Experience with Azure cloud computing platforms.

Key Skills

Education

Any Graduate