Description

You will design and implement scalable AI/ML architectures for production environments, covering data ingestion, feature engineering, model development, and MLOps.

This role is on-site.

Responsibilities

• Define enterprise reference architectures for Generative AI, NLP, computer vision, and predictive analytics.
• Select and standardize AI platforms, MLOps tools, and LLM frameworks across the organization.
• Partner with engineering and business leaders to translate use cases into technical AI solutions.
• Guide AI adoption across ETL, data platforms, and analytics ecosystems through pilots and POCs.
• Ensure production deployment of ML models with monitoring and retraining capabilities.

Required Skills

• 8+ years of experience in data, analytics, or platform architecture roles.
• 4+ years designing and implementing AI/ML solutions at scale with proven production deployment.
• Strong proficiency in Python and SQL.
• Deep knowledge of Machine Learning, Deep Learning, and Generative AI concepts.
• Experience with cloud AI platforms (Azure, AWS, GCP).
• Hands-on experience with MLOps tools and data engineering pipelines.
• Understanding of APIs, microservices, containers, and orchestration.

Preferred Skills

• Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

Key Skills

Education

Any Graduate