Senior ML Engineer (LLMs, AWS) at Provectus | United States (Remote)
Company/Recruiter: Provectus
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Opportunity type
Job
Location
United States of America
Work arrangement
Remote
Compensation
Not disclosed
Employer
Provectus
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Role shape: Responsibility-led role with a detailed skills profile.
Evidence to prepare: 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..
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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.
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