Machine Learning Engineer

Key Responsibilities

• Translate business challenges into ML opportunities - understand the “why” behind problems and propose solutions that matter.
• Experiment, train, and optimize models, including leveraging the latest in generative AI.
• Engineer for scale - ensure performance, reliability, and efficient use of compute resources.
• Build and maintain data pipelines & MLOps workflows, enabling fast and repeatable iteration cycles.
• Deploy ML solutions on AWS, GCP, or Azure, integrating seamlessly with production systems.
• Write clean, well-structured Python code following modern engineering and CI/CD best practices.

Basic Qualifications

• 1–3 years of experience in:
• AI or ML Engineering, or
• Software Engineering with a focus on AI/ML
• Strong Python skills for backend development
• Experience working with cloud platforms (Google Cloud, AWS, or Azure)
• Hands-on software engineering experience
• Solid understanding of SQL
• Familiarity with ML deployment & web service integration (e.g., FastAPI)

Bonus Skills

• Experience in consulting or client-facing roles
• Strong communication and presentation abilities
• Background with GPUs or distributed computing
• Experience with IaC tools (Terraform, Pulumi)
• Machine Learning-related certifications

Why Join Us?At Syntio, you’ll work on exciting, high-impact projects across various industries and have lots of opportunities to grow - whether through certifications, structured learning, or our internal knowledge library. You’ll also have the freedom to innovate, try new approaches, and actively shape how we build our solutions.