Role overview
Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.
As an ML Engineer, you’ll be provided with all opportunities for development and growth.
What you'll work on
- 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.
What we're looking for
- 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 solving classification and regression tasks in general, feature engineering;
- Practical experience with ML models in production;
- Practical experience with one or more use cases from the following: NLP, LLMs, and Recommendation engines;
- Solid software engineering skills (i.e., ability to produce well-structured modules, not only notebook scripts);
- Python expertise, Docker;
- English level - strong Upper- intermediate;
- Excellent communication and problem-solving skills.
Interview process
- Recruitment Interview;
- Tech interview;
- HR Interview;
- HM Interview.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.