Join Provectus to be part of a team dedicated to building cutting-edge technology solutions that positively impact society.
The company specializes in AI and ML technologies, cloud services, and data engineering, focusing on innovation and pushing boundaries.
As an ML Engineer, you will have opportunities for development and growth.
The role involves creating ML models from scratch or improving existing models.
You will collaborate with the engineering team, data scientists, and product managers on production models.
Responsibilities include developing an experimentation roadmap, setting up a reproducible experimentation environment, and maintaining experimentation pipelines.
You will monitor and maintain ML models in production to ensure optimal performance.
Writing clear and comprehensive documentation for ML models, processes, and pipelines is also required.
Staying updated with the latest developments in ML and AI and proposing innovative solutions is essential.
Requirements:
You must be comfortable with standard ML algorithms and the underlying math.
Strong hands-on experience with LLMs in production, RAG architecture, and agentic systems is required.
AWS Bedrock experience is strongly preferred.
Practical experience with solving classification and regression tasks, as well as feature engineering, is necessary.
You should have practical experience with ML models in production.
Experience with one or more use cases from NLP, LLMs, and recommendation engines is required.
Solid software engineering skills are essential, including the ability to produce well-structured modules rather than just notebook scripts.
Expertise in Python and Docker is required.
A strong intermediate level of English is necessary.
Excellent communication and problem-solving skills are essential.
Benefits:
You will be part of a team that is dedicated to building technology solutions that have a positive impact on society.
The company offers opportunities for development and growth in your career.
You will work in an innovative environment that encourages pushing the boundaries of what's possible.
Collaboration with a diverse team of professionals, including engineers, data scientists, and product managers, is a key aspect of the role.
The position allows you to stay updated with the latest developments in ML and AI, fostering continuous learning and innovation.