Senior AI/ML Engineer
USA / US Central / US East Coast / US West Coast
Delivery – Rinat Gareev /
Full-time /
Remote
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.
We are seeking an experienced and independent Senior ML/AI Engineer to contribute to transformative AI initiatives that enhance automation, efficiency, and intelligent decision-making in high-throughput laboratory environments.
This is both a customer-facing and hands-on role, where you'll work across every stage of the ML/AI solution development lifecycle – from gathering requirements to production deployment and post-production maintenance. You'll work cross-functionally with teammates, including ML/Data/DevOps engineers, to deliver bespoke AI solutions.
Key Responsibilities
- ML/AI Adoption. Deploy ML and GenAI technologies for workflow automation and optimization. Engage in practical R&D across topics including Retrieval-Augmented Generation (RAG), LLM pipelines, LLM fine-tuning, and evaluation of LLM-based applications.
- AI & Machine Learning System Design. Design and scale AI components using AWS services (like Bedrock, SageMaker) and open-source standards and frameworks.
- AI & Machine Learning Engineering & MLOps. Fine-tune custom LLMs for workflow automation and enhanced decision support. Build and deploy training, evaluation, and inference pipelines. Apply MLOps best practices.
- "Swiss Army Knife" Engineering. During those occasional "all hands on deck" moments, jump in to support the team with backend/frontend development, infrastructure, or data pipelines as needed. Be able to quickly prototype functional solutions for demos and proof-of-concepts.
- Cross-Functional Collaboration & Thought Leadership. Collaborate with data scientists, engineers, and lab experts to design and improve AI solutions. Champion ethical and compliant AI practices aligned with healthcare and life sciences regulations. Maintain client-facing responsibilities with the ability to own processes and adapt to changing requirements.
Qualifications:
- 5+ years in software development with a strong focus on AI/ML.
- Deep expertise in Python, SQL, and frameworks like PyTorch/TensorFlow.
- Proven hands-on experience in Generative AI systems and their evaluation, plus RAG optimization.
- 3+ years deploying machine learning models in production in cloud environments (AWS preferred, but not required).
- Strong grasp of MLOps, scalability, and cloud (AWS) best practices.
- A builder mindset that is able to switch between fast prototyping and production-grade development.
- Experience working with LIMS/LES systems and lab automation tools.
- Familiarity with healthcare and life sciences regulatory requirements (e.g., HIPAA, GxP).
- Background in designing secure and compliant AI solutions for regulated environments.
Required Experience:
Preferred Qualifications:
What We Offer:
- Remote-first work environment with flexible scheduling.
- Opportunity to contribute to high-stakes projects for mid-sized and large corporations.
- Collaborative culture that values innovation, curiosity, and continuous learning.
- Professional development support.
- Comprehensive benefits, including health, dental, vision, 401(k) with company match, and unlimited PTO.
- Diverse professional network across industries and technology domains.
