Machine Learning / AI Engineer Senior - Databricks - Eng

📋 Description

• Lead end-to-end AI and Machine Learning implementations, acting as a primary technical consultant
• Communicate technical findings, proposals, implementation plans, and project progress clearly to
• Design, develop, deploy, and maintain production-grade AI/ML pipelines, applying CI/CD principles
• Build and optimize Generative AI and Agentic AI applications, including multi-agent orchestration
• Architect end-to-end solutions incorporating traditional Machine Learning and Generative AI
• Manage the infrastructure supporting production deployments, leveraging Docker, pipeline

🎯 Requirements

• At least 4 years of hands-on professional experience developing, deploying, and managing Generative
• At least 3 years of experience in client-facing consulting or solutions architecture, with a focus
• Strong Python programming skills for data-intensive, scalable AI/ML applications.
• Expertise in MLOps lifecycle management, including model versioning, testing, monitoring
• Practical experience managing infrastructure for AI/ML workloads, including Docker containerization
• Familiarity with distributed computing frameworks such as Apache Spark and lakehouse technologies

🎁 Benefits

• Remote-first work environment, offering flexibility to work remotely. Eligibility to work remotely
• Full coverage for professional certifications in AWS, dbt, Google Cloud, Azure, and Databricks.
• In-company English language lessons.
• Birthday leave and an additional vacation week through the company's annual team break.
• Employee referral bonuses.
• Monthly credits for a benefits marketplace, providing access to a range of employee perks.