Provectus is a Premier AWS partner at the forefront of Artificial Intelligence solutions empowering businesses to unlock value and accelerate their transformation via bespoke applications, managed services, and advisory engagements. With offices in North America, LATAM, and EMEA, Provectus partners with clients around the world and is obsessed with leveraging cloud, data, and AI to reimagine the way clients operate & compete.
Responsibilities:
- Create ML models from scratch or improve existing models.
- Create ML/AI pipelines that include custom models or APIs as part of the processing.
- 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.
Requirements:
- Comfortable with standard ML algorithms and underlying math.
- Practical experience with solving classification and regression tasks in general, feature engineering.
- Practical experience with ML models in production: orchestrating workflows, monitoring metrics.
- 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.
- Practical experience with cloud platforms (AWS stack is preferred, e.g. Amazon SageMaker, ECS, EMR/Glue, S3, Lambda, SQS).
- English level - Upper Intermediate.
- Excellent communication and problem-solving skills.
Will be a plus:
- Experience with RAG.
- Experience with taxonomies or ontologies.
- Practical experience with Spark/Dask, Great Expectations.
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