Senior ML Engineer (GenAI, AWS) (copy)

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.

Requirements

• Design and implement end-to-end ML solutions from experimentation to production;
• Build scalable ML pipelines and infrastructure;
• Optimize model performance, efficiency, and reliability;
• Write clean, maintainable, production-quality code;
• Conduct rigorous experimentation and model evaluation;
• Troubleshoot and resolve complex technical challenges;
• Mentor junior and mid-level ML engineers;
• Conduct code reviews and provide constructive feedback;
• Share knowledge through documentation, presentations, and workshops;
• Collaborate with cross-functional teams (DevOps, Data Engineering, SAs);
• Contribute to internal ML practice development;
• Stay current with ML research and emerging technologies;
• Propose improvements to existing solutions and processes;
• Contribute to the development of reusable ML accelerators;
• Participate in technical discussions and architectural decisions;

Benefits

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

Originally posted on Himalayas