Middle/Senior ML Engineer (with GenAI)
Job Description
Provectus is seeking a Middle/Senior ML Engineer specializing in Generative AI to join their innovative team. As a company at the forefront of AI and ML technologies, we're looking for talented engineers to help build cutting-edge solutions that positively impact society. The role offers a unique opportunity to work with advanced technologies including LLMs, RAG architectures, and agentic systems.
The ideal candidate will have strong foundations in machine learning algorithms and mathematics, combined with hands-on experience implementing ML models in production environments. You'll be working with state-of-the-art technologies, particularly in the realm of Natural Language Processing and Large Language Models, while utilizing AWS Bedrock and other cloud services.
This remote position offers flexibility across multiple locations including Moldova, Latvia, Lithuania, and Greece. You'll be part of a collaborative environment, working alongside data scientists and product managers to develop and maintain sophisticated ML solutions. The role provides excellent opportunities for professional growth and development in the rapidly evolving field of AI.
Key technical requirements include Python expertise, Docker proficiency, and experience with cloud platforms (preferably AWS stack). You'll be responsible for creating and improving ML models, setting up experimentation environments, and ensuring optimal performance of production systems. The position requires strong communication skills and the ability to stay current with the latest developments in ML and AI.
Join us in building the future of AI technology while working on projects that make a real difference. This role offers the perfect blend of technical challenge and meaningful impact, with the support of a forward-thinking company committed to innovation in AI and ML.
Responsibilities For Middle/Senior ML Engineer (with GenAI)
- Create ML models from scratch or improve existing models
- Collaborate with the engineering team, data scientists, and product managers on production models
- Develop experimentation roadmap
- Set up a reproducible experimentation environment and maintain experimentation pipelines
- Monitor and maintain ML models in production to ensure optimal performance
- Write clear and comprehensive documentation for ML models, processes, and pipelines
- Stay updated with the latest developments in ML and AI and propose innovative solutions
Requirements For Middle/Senior ML Engineer (with GenAI)
- Comfortable with standard ML algorithms and underlying math
- Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems
- AWS Bedrock experience strongly preferred
- Practical experience with classification and regression tasks, feature engineering
- Practical experience with ML models in production
- Practical experience with NLP, LLMs, and Recommendation engines
- Solid software engineering skills
- Python expertise, Docker
- English level - strong Intermediate
- Excellent communication and problem-solving skills
