Senior AI, ML Engineer

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4 Locations
Remote
Artificial Intelligence • Information Technology • Consulting
The Role
Provectus helps companies adopt ML/AI to transform the ways they operate, compete, and drive value. The focus of the company is on building ML Infrastructure to drive end-to-end AI transformations, assisting businesses in adopting the right AI use cases, and scaling their AI initiatives organization-wide in such industries as Healthcare & Life Sciences, Retail & CPG, Media & Entertainment, Manufacturing, and Internet businesses.

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 - Upper-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.

What We Offer:

  • Long-term B2B collaboration;
  • Fully remote setup;
  • Comprehensive private medical insurance or budget for your medical needs;
  • Paid sick leave, vacation, public holidays;
  • Continuous learning support, including unlimited AWS certification sponsorship.

Interview stages:

  • Recruitment Interview;
  • Tech interview;
  • HR Interview;
  • HM Interview.

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The Company
HQ: Palo Alto, CA
572 Employees
Year Founded: 2010

What We Do

Provectus is an Artificial Intelligence consultancy and solutions provider, helping businesses achieve their objectives through AI.

We are recognized by industry think tanks as a leading provider of AI solutions in specific business domains, driven by sophisticated IT service management and tech innovation. Provectus is a value driver and a trusted partner for our clients and employees.

Provectus is an AWS Premier Consulting Partner with competencies in Data & Analytics, DevOps, and Machine Learning. We design and build AI solutions for industry-specific use cases, Data and Machine Learning foundation, Cloud transformation, and DevOps adoption.

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