Description

You will design and implement scalable AI/ML solutions and production-grade backend systems.

This role is on-site.

Responsibilities

• Design and develop backend systems using Python and Java to integrate AI/ML capabilities into production.
• Architect end-to-end ML pipelines covering data preprocessing, training, and model deployment.
• Drive MLOps best practices, including model versioning, CI/CD for ML, and performance monitoring.
• Convert research models into scalable services through collaboration with data scientists.
• Lead and mentor engineers on system design, clean code, and AI development standards.

Required Skills

• 8+ years of software development experience.
• 3+ years in technical leadership roles.
• Strong programming proficiency in Python and Java.
• Hands-on experience with TensorFlow, PyTorch, or Scikit-learn.
• Experience deploying ML models via REST APIs, batch processing, or real-time inference.
• Practical knowledge of MLOps, DevOps pipelines, and version control using Git.
• Experience with Docker, Kubernetes, and cloud platforms such as GCP, AWS, or Azure.
• Solid understanding of data structures, algorithms, and system design.

Preferred Skills

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

Key Skills

Education

Bachelor's or Master's degrees