Architecting and deploying cutting-edge AI solutions, delivering impactful, production-grade machine learning systems.
Requirements
- Proficiency in Python with experience in developing and deploying AI/ML solutions.
- Deep understanding of Large Language Models and Retrieval-Augmented Generation techniques.
- Hands-on experience with AWS services related to machine learning and data engineering.
- Experience with additional cloud platforms and MLOps tools.
Responsibilities
- Design, develop, and deploy AI/ML models, with a focus on Large Language Models and RAG architectures.
- Implement scalable, secure, and high-performance machine learning pipelines on AWS infrastructure.
- Continuously optimize models and workflows for robustness, accuracy, and efficiency.
- Conduct research to evaluate new algorithms and integrate state-of-the-art techniques into existing frameworks.
- Document code, workflows, and processes, emphasizing clarity and concise communication.
Other
- Collaborate cross-functionally to understand business needs and translate them into technical solutions.
- Foster a collaborative environment through effective written and verbal communication.
- Strong analytical and problem-solving skills, with a drive for innovation.
- Excellent written and verbal communication abilities.
- Demonstrated ability to work effectively in fast-paced, collaborative, on-site environments.
- Proven track record of delivering production-level AI/ML systems.
