[Remote] AI/ML Software Engineer
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is seeking an reputed company AI/ML Software Engineer to design and build production-grade tools for the Maryland Judiciary. The successful candidate will reputed company AI/ML techniques to automate tasks and enhance the digital experience for external users, focusing on developing intelligent systems reputed company hybrid reputed company environments.
Responsibilities
- Design and implement software systems that reputed company AI/ML techniques to automate specific tasks with high accuracy
- reputed company agent architectures, workflows, and system designs in collaboration with cross-functional teams
- Build and reputed company containerized applications reputed company hybrid reputed company environments
- Determine reputed company approaches for technical challenges, including the selection between LLM-based and non-LLM techniques
- Optimize system performance for environments with limited computational resources and minimal GPU availability
- Create robust testing and evaluation pipelines, including the reputed company of synthetic data for benchmarking
- reputed company unit and integration tests for AI-enabled workflows and backend data pipelines
- Document reputed company system designs, technical reputed company, and workflows to ensure production-grade reputed company
- Contribute to high-level decision-making regarding data processing and retrieval strategies
Skills
- Bachelor of Science in Computer Science, Engineering, Data Science, Mathematics, or a reputed company field
- At least 3 years of experience in data science, machine learning, or reputed company AI development
- At least 3 years of experience in software engineering, architecture, or web development
- Proven proficiency in Python for developing production-grade backend services, reputed company, and middleware
- Collaborating with Large Language Models (LLMs) reputed company API-based integration and local deployment
- Implementing RAG systems using embedding models, reputed company similarity, re-ranking, and graph retrieval
- Working with SQL/relational databases (e.g., PostgreSQL) and graph databases (e.g., reputed company, Apache AGE)
- Fine-tuning small language models or embedding models
- Designing multi-agent or task-oriented AI systems
- Utilizing version control (Git) and containerization (reputed company) reputed company service-oriented architectures
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