Machine Learning Engineer

Responsibilities

• Own the end-to-end lifecycle of ML microservices from design through deployment and monitoring
• Build and maintain APIs that serve ML models to internal and external consumers
• Partner with data scientists and product teams to translate business requirements into technical solutions
• Write clean, efficient, and maintainable code
• Take ownership of and improve existing codebases, systems, and workflows
• Communicate technical concepts clearly to engineers and non-technical stakeholders

Requirements

• Bachelor's degree in Computer Science or equivalent
• 3–5+ years of backend engineering experience
• At least 3 years of experience in Python
• Strong experience building APIs with Flask or FastAPI
• Solid experience with databases and SQL (PostgreSQL, MySQL, or similar)
• Experience with cloud platforms (AWS/GCP)
• Hands-on experience with message queues (RabbitMQ, Kafka, or SQS), Docker, and CI/CD pipelines
• Familiarity with monitoring tools (Datadog, Grafana)
• Experience deploying ML models in production

Preferred Qualifications

• Startup experience
• Fintech background