Description

You will design, develop, and deploy machine learning models and AI solutions to solve complex business problems.

This role is on-site.

Responsibilities

• Develop and deploy ML models and solutions for projects and proof-of-concepts.
• Build and maintain ML architectures using cloud-based services.
• Perform continuous evaluation of ML solutions and suggest proactive improvements to model performance.
• Manage end-to-end project delivery, including technical documentation and client communications via reports and visualizations.
• Identify new technical opportunities to solve client problems and drive business impact.

Required Skills

• 4-5 years of experience in Data Science, Machine Learning, AI, and Gen AI.
• 3 years of cloud experience with AWS, Azure, GCP, or Databricks-based ML architecture.
• Hands-on experience with AWS services including SageMaker, Lambda, EC2, API Gateway, and Bedrock.
• 2 years of experience in model development and deployment.
• Proficiency in Python, PySpark, and SQL.
• 1+ years of experience with MLOps, including CI/CD and ML monitoring (Drift detection, model metrics, PowerBI).
• Exposure to Gen AI technologies such as LLMs, RAG, GAN, Computer Vision, NLP, and Deep Learning.

Preferred Skills

• Experience with Azure or GCP cloud services beyond basic familiarity.
• Advanced proficiency in PowerBI for client reporting and visualization.

Key Skills

Education

Any Graduate