See all roles

Senior ML Engineer (LLMs, AWS)

Work from home Full-time role Hiring

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! \n 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 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. \n Apply To This Job

You might like

Tester Funcional

Work from home Full-time role

Account Manager

Work from home Full-time role

Senior Product Manager, Medical Imaging

Work from home Full-time role

Produktvertriebsspezialist MRT (w/m/d) – Deutschland

Work from home Full-time role

EMEA Payroll Specialist - Romania and Overseas

Work from home Full-time role

Compliance Lead

Work from home Full-time role

QA Automation Engineer

Work from home Full-time role

QA Automation Engineer

Work from home Full-time role

Solution Area Manager - Workplace w/m/d | bundesweit

Work from home Full-time role

Voice Actor

Work from home Full-time role

Full-Time Data Entry & Customer Support Associate – Warehouse Operations & Call Center – $32/hr – arenaflex – Ohio

Work from home Full-time role

Facilitator - North America Office Team Retreat

Work from home Full-time role

MDS Coordinator - Hybrid Option Available - RN

Work from home Full-time role

Senior ServiceNow Specialist - Integrator | WFH | Dayshift

Work from home Full-time role

Experienced Full Stack Customer Experience Measurement Director – Driving Enterprise-Wide Insights and Actionable Results

Work from home Full-time role

Experienced Digital Marketing Specialist & Data Entry Professional – Remote Part-Time Opportunity at arenaflex

Work from home Full-time role

Experienced Packaging Strategy Lead – Data Management & Sustainability Initiatives

Work from home Full-time role

Full Stack Developer (Remote)

Work from home Full-time role

Lead Digital Health Strategist- Central Region

Work from home Full-time role

Sr. Manager, Medical Writing

Work from home Full-time role