Description

You will be designing, developing, and deploying scalable Machine Learning and AI models for analytics and automation use cases.

Responsibilities

• Perform data extraction, cleaning, transformation, and modeling using SQL, Python, Pandas, and NumPy.
• Develop end-to-end ML pipelines, including feature engineering, model training, validation, and optimization.
• Implement and maintain ML workflows and automation using MLflow, Airflow, or similar orchestrators.
• Collaborate with product, data engineering, and business stakeholders to translate requirements into ML solutions.
• Monitor deployed models and improve accuracy, scalability, and performance over time.

Required Skills

• 5+ years of professional experience in AI/ML engineering.
• Expert proficiency in Python, SQL, Pandas, and NumPy.
• Hands-on experience building and managing ML Pipelines.
• Experience with orchestration tools like Airflow or MLflow.
• Ability to build and maintain model explainability documentation.
• Experience in model version control and reproducibility practices.

Key Skills

Education

Any Graduate