Machine Learning / AI Engineer Lead

Added
3 hours ago
Type
Full time
Salary
Salary not provided

Related skills

docker python databricks machine learning 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! πŸ–οΈ)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
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