Description

You will design, develop, and deploy machine learning models and AI applications from scratch. You own the end-to-end data science lifecycle, from data preprocessing to production deployment.

This role is on-site.

Responsibilities

• Develop and optimize ML algorithms, deep learning models, NLP, and computer vision solutions.
• Collect, analyze, and preprocess large datasets to ensure data quality for model training.
• Integrate AI solutions into existing software systems and manage deployment infrastructure.
• Perform hyperparameter tuning and validate models using performance metrics.
• Manage production deployments and warranty activities for ML models.

Required Skills

• 8+ years of industry experience in Machine Learning and R&D.
• Hands-on proficiency in Python (ML libraries) and R programming.
• Deep understanding of NLP, Computer Vision, and deep learning architectures.
• Experience with GitHub for version control and collaboration.
• Proficiency in writing SQL queries for data extraction and analysis.
• Understanding of Kubernetes deployment strategies for production environments.
• Experience managing production deployments and post-deployment activities.

Preferred Skills

• Experience with end-to-end Data Science Life Cycles (EDA, preprocessing, modeling).
• Background in automating ML pipelines and infrastructure.

Key Skills

Education

Any Graduate