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AI/ML Solutions Developer
4 weeks ago
Job Summary:
Stellar IT Solutions LLC is seeking a highly skilled AI/ML Solutions Developer to join our team. As a key member of our AI Center of Excellence, you will design, develop, and implement cutting-edge AI/ML solutions across the organization. You will work closely with data scientists, software engineers, and stakeholders to ensure the seamless integration of AI capabilities across diverse business applications.
Key Responsibilities:
- Design and develop scalable machine learning models using platforms such as Databricks, Azure ML, or Palantir.
- Integrate Large Language Models (LLMs) into Databricks or Palantir and optimize their use for specific customer needs.
- Evaluate RAG Chat Bots using LLMsasaJudge frameworks.
- Collaborate with cross-functional teams to understand business requirements and deliver AI-driven solutions tailored to enterprise needs.
- Optimize machine learning models for performance, accuracy, and scalability using techniques such as LLM pretraining, finetuning, RLHF, distillation, LoRA, and quantization.
- Build and optimize inference engines/servers, including speculative decoding and co-optimizations for both training and inference.
- Implement advanced data preprocessing techniques, feature engineering, and model evaluation methods to maximize model performance.
- Monitor, debug, and troubleshoot AI systems for scalability and performance issues, ensuring optimal functionality and reliability.
- Stay current with the latest advancements in AI/ML technologies, particularly in LLMs and their applications.
- Document technical solutions, including internal design documents, customer-facing engineering documentation, and data-driven case studies for marketing.
- Contribute to the growth and success of the AI Center of Excellence by sharing best practices and mentoring others.
Requirements:
Education:
- Bachelor's degree with 5 years of experience in designing, developing, and deploying machine learning models using Databricks, Azure ML, or Palantir.
- Master's degree with 3 years of experience or a Ph.D. in a relevant field such as Computer Science, Engineering, Data Science, or AI.
Experience:
- 5 years of hands-on experience in AI/ML development and implementation, including 3 years integrating LLM solutions with platforms like Databricks or Palantir.
- Experience in evaluating RAG Chat Bots using LLMsasaJudge frameworks.
- Proven experience in observability, monitoring, and debugging AI/ML systems, especially in the context of LLMs.
Technical Skills:
- Proficiency in programming languages such as Python, R, or Java, with experience in libraries such as TensorFlow, PyTorch, or Scikit-learn.
- Strong expertise in LLM architecture, training, and inference, with hands-on experience in pretraining, finetuning, and advanced techniques like RLHF, distillation, LoRA, and quantization.
- Experience in optimizing inference engines/servers and speculative decoding.
- Familiarity with cloud platforms like AWS, Azure, or Google Cloud for model deployment.
Additional Skills:
- Strong problem-solving abilities with attention to detail and adaptability in a fast-paced startup environment.
- Excellent communication and teamwork skills, with a focus on effective collaboration across various functions.
- Proactive and self-driven, with a strong sense of ownership over the systems you work on.
- Strong technical writing skills, able to create clear and concise documentation for a wide range of audiences.