Machine Learning / AI Engineer Senior - Databricks - Eng

Added
20 days ago
Type
Full time
Salary
Salary not provided

Related skills

docker databricks machine learning ai mlops

πŸ“‹ Description

  • Serve as a primary technical consultant, leading and executing end-to-end AI/ML project
  • Exhibit excellent communication, presentation, and stakeholder management skills to clearly
  • Design, build, and maintain production-grade AI and ML pipelines, focusing on continuous
  • Implement and optimize cutting-edge Generative and Agentic AI applications, demonstrating hands-on
  • Architect end-to-end AI/ML systems, designing both traditional Machine Learning- and Generative
  • Manage underlying solution infrastructure necessary for production deployment, demonstrating

🎯 Requirements

  • 4+ years of hands-on professional experience developing, deploying, and managing Generative/Agentic
  • 3+ years of experience in a customer-facing consulting or solutions architect role, focused on
  • Excellent verbal and written communication skills for effective client and internal team
  • Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and
  • Demonstrable experience with infrastructure management, encompassing containerization (Docker) and
  • Expertise in Python for data-intensive and scalable AI/ML applications.

🎁 Benefits

  • Remote-first culture – work from anywhere!
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons
  • Birthday off + an extra vacation week (Mutt Week!)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace
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