Senior AI Engineer

About This RoleAI processing…

Key Responsibilities

• 1
  Develop scalable AI-driven software solutions and design end-to-end systems that integrate seamlessly with enterprise data and cloud infrastructure.
• 2
  Establish MLOps standards and reusable pipelines, ensuring clean, maintainable code for model training, deployment, and monitoring.
• 3
  Translate complex business requirements into technical blueprints, bridging the gap between data science exploration and production engineering.
• 4
  Advise stakeholders on technical strategy, clearly communicating architectural tradeoffs regarding cost, latency, and performance.

Requirements

• Master’s in Computer Science, Data Science, Machine Learning, or a related field with experience in designing enterprise-scale AI solutions.
• Deep architectural expertise across multiple AI domains—specifically within Generative AI, Computer Vision, and complex predictive modeling.
• Advanced proficiency in Python and modern AI frameworks (PyTorch, TensorFlow), with a strong command of software design patterns, microservices architecture, and API design.
• Expertise in designing robust MLOps ecosystems, including defining standards for CI/CD, model governance, security compliance, and infrastructure orchestration on cloud platforms (AWS, GCP, Azure).
• Ability to define and execute technical roadmaps paired with the experience mentoring engineering teams, conducting code/design reviews, and enforcing engineering excellence.
• Expert at balancing critical architectural tradeoffs, including inference latency, scalability, data privacy, and total cost of ownership.

Perks & Benefits