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.