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. The company is at the forefront of AI and ML technologies, cloud services, and data engineering, committed to creating solutions that positively impact society.
The role demands a strong foundation in machine learning, with particular emphasis on Large Language Models (LLMs), RAG architecture, and agentic systems. The ideal candidate will have hands-on experience with AWS Bedrock and a proven track record of implementing ML models in production environments.
Key responsibilities include developing and improving ML models, collaborating across teams, managing experimentation pipelines, and ensuring optimal model performance in production. The position requires expertise in Python and Docker, along with solid software engineering practices beyond just notebook scripting.
This is an excellent opportunity for an experienced ML engineer looking to work on cutting-edge AI technologies in a remote environment. The role offers significant growth potential and the chance to contribute to meaningful technological advancements. The company emphasizes continuous learning and innovation, making it an ideal place for professionals passionate about staying at the forefront of ML and AI developments.
Working at Provectus means joining a team that values technical excellence, innovation, and collaborative problem-solving. The remote work setup provides flexibility while allowing you to work on challenging projects that push the boundaries of what's possible 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
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