Middle/Senior Machine Learning Engineer (GenAI)
Description For Middle/Senior Machine Learning Engineer (GenAI)
Provectus is seeking a Middle/Senior Machine Learning Engineer specializing in Generative AI to join their innovative team. As a company at the forefront of AI and ML technologies, we're looking for talented individuals who can contribute to our mission of building cutting-edge technology solutions that positively impact society.
The role demands strong expertise in machine learning, particularly in working with Large Language Models (LLMs) in production environments, RAG architecture, and agentic systems. You'll be working with state-of-the-art technologies, including AWS Bedrock, and applying your knowledge of classification, regression, and feature engineering to real-world problems.
As an ML Engineer at Provectus, you'll be responsible for creating and improving ML models, collaborating with cross-functional teams, and maintaining production systems. The position offers excellent opportunities for professional development and growth, allowing you to work on innovative projects while staying current with the latest developments in ML and AI.
The ideal candidate should possess strong software engineering skills, Python expertise, and experience with Docker. You'll be working in a remote environment, collaborating with teams across multiple locations. This role offers the perfect opportunity for someone who is passionate about machine learning and wants to contribute to meaningful projects while working with cutting-edge AI technologies.
Join us in our mission to build a better future through technology. You'll be part of a company that values innovation, professional growth, and making a positive impact on society through advanced AI solutions.
Responsibilities For Middle/Senior Machine Learning Engineer (GenAI)
- Create ML models from scratch or improve existing models
- Collaborate with engineering team, data scientists, and product managers on production models
- Develop experimentation roadmap
- Set up 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 (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
- Strong Intermediate English level
- Excellent communication and problem-solving skills
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