TL;DR
ML Engineer (AI): Designing, developing, and deploying scalable ML services, and architecting AI/ML solutions, ensuring model quality, governance, and security. Focus on optimizing ML workflows for performance and cost efficiency on cloud platforms and promoting best practices in ML engineering.
Location: Bulgaria, Georgia, Lithuania, Moldova, Poland, Romania, Remote or Hybrid
Company
Coherent Solution team is focused on expanding Generative AI and Computer Vision capabilities.
What you will do
- Work on the design, development, and deployment of scalable ML services.
- Architect and implement AI/ML solutions, ensuring model quality, governance, and security.
- Optimize ML workflows for performance and cost efficiency on cloud platforms (AWS, Azure, or GCP).
- Collaborate with data scientists, analysts, and business stakeholders to understand ML requirements.
- Mentor and guide junior engineers, promoting best practices in ML engineering.
- Monitor, troubleshoot, and resolve issues in production for ML pipelines and environments.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or related field.
- 3+ years of experience in ML engineering, including hands-on exposure to LLMs.
- Strong proficiency in Python and ML frameworks.
- Experience with cloud platforms (AWS or Azure).
- Familiarity with CI/CD and DevOps practices.
- English: Upper Intermediate or higher.
Culture & Benefits
- Technical and non-technical training for professional and personal growth.
- Internal conferences and meetups to learn from industry experts.
- Support and mentorship from an experienced employee to help you professional grow and development.
- Flexible work options, including remote and hybrid opportunities.
- Health insurance.
- English courses.
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