Senior ML Engineer (LLMs, AWS)
Actively Hiring
Full-time Posted 5 months ago
Responsibilities
- check_circle Create ML models from scratch or improve existing models;
- check_circle Collaborate with the engineering team, data scientists, and product managers on production models;
- check_circle Develop experimentation roadmap;
- check_circle Set up a reproducible experimentation environment and maintain experimentation pipelines;
- check_circle Monitor and maintain ML models in production to ensure optimal performance;
- check_circle Write clear and comprehensive documentation for ML models, processes, and pipelines;
- check_circle Stay updated with the latest developments in ML and AI and propose innovative solutions.
Basic qualifications
- 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.
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECR, EMR, S3, AWS Lambda);
- Practical experience with deep learning models;
- Experience with taxonomies or ontologies;
- Practical experience with machine learning pipelines to orchestrate complicated workflows;
- Practical experience with Spark/Dask, Great Expectations.
Benefits
- check_circle Long-term B2B collaboration;
- check_circle Fully remote setup;
- check_circle Comprehensive private medical insurance or budget for your medical needs;
- check_circle Paid sick leave, vacation, public holidays;
- check_circle Continuous learning support, including unlimited AWS certification sponsorship.
- check_circle Recruitment Interview;
- check_circle Tech interview;
- check_circle HR Interview;
- check_circle HM Interview.
Tags & Focus Areas
Fulltime Remote Ai Machine Learning Generative Ai
About Provectus
At Provectus, we are obsessed with technologies that impact the future of the whole of humanity. Just imagine: AI for curing eye diseases, ML for making factories safe for workers, preventing pandemic spreading, etc. It’s not about the future, it’s about the products we’ve already developed with ProvectusTeam.