Middle/senior AI, ML Engineer Jobs

Middle/senior AI, ML Engineer

Provectus

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Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Join us at Provectus to be a part of a team that is dedicated to building cutting-edge technology solutions that have a positive impact on society. Our company specializes in AI and ML technologies, cloud services, and data engineering, and we take pride in our ability to innovate and push the boundaries of what's possible. As an ML Engineer, you’ll be provided with all opportunities for development and growth. Let's work together to build a better future for everyone!

Job Responsibility:

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:

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 Intermediate
Excellent communication and problem-solving skills

Nice to have:

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

Additional Information:

Job Posted:
December 11, 2025

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