Senior ML Engineer (LLMs, AWS) at Provectus | United States (Remote)
Company/Recruiter: Provectus
✦ AI Summary
Provectus is seeking a highly skilled Senior ML Engineer with expertise in Large Language Models (LLMs) and AWS to join our innovative team.
MorrJobs Intelligence
Opportunity intelligence
Assess this opportunity and prepare a stronger application.
MorrJobs reader
Listen to this opportunity
MorrJobs editorial notes
Our reading of this this opportunity Senior Ml Engineer (Llms, Aws) opening: it is a responsibility-led role with a detailed skills profile role for candidates who can show evidence that matches the responsibilities and requirements published by Provectus. The notes below are MorrJobs guidance based on this listing, not claims made by the employer.
What to demonstrate
Connect your CV or portfolio to Proven experience in machine learning engineering, with a specialization in LLMs.; Strong proficiency in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).. Use one concrete example that shows you can Develop and implement LLM-based solutions and fine-tune existing models..
Before applying
Confirm that United States of America and the stated work arrangement suit you.
MorrJobs safety note
Use only the application method shown on this page. Do not pay an unofficial fee or share sensitive identity or banking documents outside the stated process.
Job Overview
The Senior ML Engineer will design, develop, and deploy advanced ML solutions, with a strong focus on LLMs, within the AWS ecosystem. You will be instrumental in driving the adoption of AI technologies and ensuring the scalability, reliability, and performance of our ML platforms.Key Responsibilities
- Develop and implement LLM-based solutions and fine-tune existing models.
- Design, build, and maintain scalable ML infrastructure on AWS.
- Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
- Optimize ML models for performance and cost-efficiency.
- Stay abreast of the latest advancements in LLMs and ML technologies.
Requirements
- Proven experience in machine learning engineering, with a specialization in LLMs.
- Strong proficiency in Python and relevant ML frameworks (e.g., TensorFlow, PyTorch).
- Extensive experience with AWS services (e.g., SageMaker, EC2, S3, Lambda).
- Solid understanding of natural language processing (NLP) and deep learning concepts.
- Excellent problem-solving and analytical skills.
What We Offer
- Opportunity to work on challenging and impactful AI projects.
- Collaborative and dynamic work environment.
- Professional development and growth opportunities.
- Competitive compensation and benefits package.
Similar Recent Jobs
Junior Creative Engineer at Helios WorldWide | Santa Monica, United States
Software Architect at 001 Parsons Government Services Inc. | Reston, United States
Stage 2027 de Développement d'un Orchestrateur de Sécurité (H/F) at 1263 Airbus Cybersecurity SAS | Élancourt, France
Senior Front-end Developer (React / Vue / TypeScript) at Acronis Bulgaria EOOD | Bulgaria (Remote)