Remote Middle/Senior ML Engineer

Description:

• 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.
• Responsibilities include creating ML models from scratch or improving existing models, collaborating with the engineering team, data scientists, and product managers on production models, and developing an experimentation roadmap.
• You will set up a reproducible experimentation environment, monitor and maintain ML models in production, and write clear documentation for ML models, processes, and pipelines.
• Staying updated with the latest developments in ML and AI and proposing innovative solutions is also part of the role.

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 and one or more use cases from NLP, LLMs, and Recommendation engines.
• 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 a must.

Benefits:

• You will be part of a team that is dedicated to innovation and making a positive impact on society.
• The position offers opportunities for professional development and growth.
• You will work in a collaborative environment with a focus on cutting-edge technology solutions.
• The role allows for remote work, providing flexibility in your work environment.