Middle/Senior Machine Learning Engineer
Description For Middle/Senior Machine Learning Engineer
Join Provectus as a Middle/Senior Machine Learning Engineer and be part of a team dedicated to building cutting-edge technology solutions with a positive societal impact. Specializing in AI, ML, cloud services, and data engineering, Provectus offers a unique opportunity to innovate and push technological boundaries.
As an ML Engineer, you'll work on creating and improving ML models, collaborating with cross-functional teams, and maintaining production models. Your responsibilities will include developing experimentation roadmaps, setting up reproducible environments, and staying current with the latest AI/ML developments.
Key requirements include:
- Proficiency in standard ML algorithms and their underlying mathematics
- Hands-on experience with LLMs, RAG architecture, and agentic systems
- Practical experience in classification, regression, and feature engineering
- Solid software engineering skills and Python expertise
- Strong communication and problem-solving abilities
You'll have the opportunity to work with cutting-edge technologies, including AWS Bedrock, and gain experience in NLP, LLMs, and recommendation engines. The role offers remote work options, allowing flexibility in your work environment.
Provectus values continuous learning and development, providing you with ample opportunities for growth in the rapidly evolving field of AI and ML. Join us in our mission to leverage advanced technology for the betterment of society and be at the forefront of AI innovation.
Responsibilities For Middle/Senior Machine Learning 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 Machine Learning 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 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
- Python expertise, Docker
- English level - strong Intermediate
- Excellent communication and problem-solving skills
