Machine Learning Engineer

Designation: Senior ML Engineer

Experience: 5+ years

Role:

The Technical Architect – ML Engineering will have a clear understanding of building scalable, production-grade machine learning systems and AI-powered applications. The role involves understanding business problems, translating them into ML/AI solutions, and architecting/designing systems that are high-performing, secure, scalable, reproducible, and testable. It is a hands-on role involving building ML pipelines, fine-tuning models, deploying to cloud, and taking ownership of delivery by working closely with data scientists, ML engineers, and junior team members. Responsibilities include:

• Minimum 1–2 years in designing ML/AI solutions as a technical architect or lead ML engineer
• Overseeing the development, training, evaluation, and deployment of ML and GenAI systems
• Collaborating with different stakeholders, including data scientists, product teams, DevOps, and customers
• Providing technical leadership and mentorship to ML engineering and data science teams
• Defining ML system design standards, model governance practices, and MLOps best practices

Requirements:

Passion for building and delivering great ML systems with a strong sense of ownership.

• Minimum 3 years of experience in software/ML engineering, with at least 2 years focused on machine learning, deep learning, or applied AI
• Strong experience in architecting and developing end-to-end ML pipelines — from data…

Skills

• Machine Learning
• LLMs
• Azure
• CI/CD
• Generative AI