As an ML Engineer, you will develop and improve ML models, collaborate with teams on production models, and maintain experimentation pipelines and documentation.
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!
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.
Will be a plus:
- 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.
Responsibilities:
- 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.
Top Skills
Amazon Sagemaker
Aws Bedrock
Aws Lambda
Dask
Docker
Ecr
Emr
Python
S3
Spark
Similar Jobs
Artificial Intelligence • Fintech • Information Technology • Logistics • Payments • Business Intelligence • Generative AI
The Senior Digital Sales Executive drives new business growth, manages the full sales cycle, collaborates with teams, and expands the market presence in the Benelux region.
5 Hours Ago
Easy Apply
Easy Apply
Cloud • Security • Software • Cybersecurity • Automation
As a Backend Engineer, you'll build and maintain infrastructure and deployment tooling for GitLab, ensuring it is secure and scalable in diverse environments.
Top Skills:
AWSAzureBashGCPGoGrafanaHelmKubernetesPostgresPrometheusRubyTerraform
Cloud • Security • Software • Cybersecurity • Automation
As a Senior Security Engineer, you'll lead incident response, create documentation, conduct post-incident analysis, and improve security processes in a 24/7 environment.
Top Skills:
AWSGCPPythonSIEM
What you need to know about the Dublin Tech Scene
From Bono and Oscar Wilde to today's tech leaders, Dublin has always attracted trailblazers, with more than 70,000 people working in the city's expanding digital sector. Continuing its legacy of drawing pioneers, the city is advancing rapidly. Ireland is now ranked as one of the top tech clusters in the region and the number one destination for digital companies, with the highest hiring intention of any region across all sectors.
