Java Developer - AI/ML (Remote)
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Key skills for this role
About the Role
We are hiring a Java Developer with AI/ML experience to work on LLM training and optimization. You will design and maintain code for AI models, conduct evaluations, and collaborate on reinforcement learning.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain efficient, high quality code to train and optimize AI models
- Conduct evaluations (evals) to benchmark model performance and analyze results for continuous improvement
- Evaluate and rank AI model responses to user queries across diverse domains
- Lead supervised fine tuning (SFT) efforts, including creating and maintaining high quality, task specific datasets
- Collaborate with researchers and annotators to execute reinforcement learning with human feedback (RLHF) and refine reward models
Requirements
- Proficiency in Java and Spring Boot for backend development
- Experience with training and optimizing large language models (LLMs)
- Ability to design and execute evaluation strategies for AI model performance
- Familiarity with supervised fine tuning (SFT) and reinforcement learning with human feedback (RLHF)
- Strong problem solving and technical reasoning skills for AI model alignment
Full Job Posting
Role Overview
- We are hiring for one of our clients, seeking a LLM Java Developer to work on a full time basis.
- The engineer will collaborate on the definition, design, and delivery of new features with cross functional teams.
- The company is developing the next generation of dialog agents for education, entertainment, and general question answering.
Key Responsibilities
- Design, develop, and maintain efficient, high quality code to train and optimize AI models.
- Conduct evaluations (evals) to benchmark model performance and analyze results for continuous improvement.
- Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria.
- Lead supervised fine tuning (SFT) efforts, including creating and maintaining high quality, task specific datasets.
- Collaborate with researchers and annotators to execute reinforcement learning with human feedback (RLHF) and refine reward models.
Required Skills & Qualifications
- Proficiency in Java and Spring Boot for backend development.
- Experience with training and optimizing large language models (LLMs).
- Ability to design and execute evaluation strategies for AI model performance.
- Familiarity with supervised fine tuning (SFT) and reinforcement learning with human feedback (RLHF).
- Strong problem solving and technical reasoning skills for AI model alignment.
More About the Opportunity
- This role offers a unique opportunity to work with a global leader in AI systems, contributing to mission critical AI deployments.
- The position involves shaping evaluation frameworks and refining model responses for real world applications.
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