Middle/Senior ML Engineer
Description For Middle/Senior ML Engineer
Provectus is seeking a Middle/Senior ML Engineer to join their innovative team focused on AI and ML technologies. This role offers an exciting opportunity to work on cutting-edge solutions that make a positive societal impact. The position requires expertise in machine learning, particularly with LLMs, RAG architecture, and agentic systems. The ideal candidate will have strong hands-on experience with production ML models, AWS Bedrock, and solid software engineering skills.
The role involves creating and improving ML models, collaborating with cross-functional teams, and maintaining production systems. You'll be responsible for setting up experimentation environments, developing roadmaps, and ensuring optimal model performance. The position requires strong problem-solving abilities and excellent communication skills.
Working at Provectus means joining a company at the forefront of AI innovation, with opportunities for professional development and growth. The remote work environment allows flexibility while collaborating with teams across multiple European locations. The company emphasizes building well-structured solutions and maintaining high engineering standards.
This is an excellent opportunity for ML engineers who want to work with state-of-the-art technologies, including LLMs, NLP, and recommendation engines. The role offers exposure to cloud platforms, particularly AWS services like SageMaker and Lambda. You'll be part of a team dedicated to pushing the boundaries of what's possible in AI while contributing to meaningful technological solutions.
Responsibilities For Middle/Senior ML Engineer
- 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
- 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
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