Software Development Collaboration

Looking for software development collaboration for AI Project.

What you'll bring: 

• Experience: 5+ years in data science, ML/AI development, or a closely related field, with a proven track record of delivering production-grade AI/ML solutions
• Collaboration: Excellent communication and stakeholder management skills, with the ability to work effectively across multiple teams and departments.
• Innovation: A strong passion for innovation and the ability to think creatively about how AI and ML can be applied to solve business problems and enhance product offerings
• ML Infrastructure: Hands-on experience with developing, deploying, and maintaining ML infrastructure, including model training, evaluation, and production-ready APIs. Familiarity with MLOps tools and concepts including MLFlow, AWS Sagemaker, model registries, and CI/CD. Experience delivering AI/ML APIs using FastAPI, flask, or similar.
• Programming Skills: Excellence in Python programming and experience with relevant data science and AI/ML packages such as pandas, scikitlearn, pytorch, and Langchain. Extensive experience in collaborative development with git
• Cloud Services: Practical experience with cloud services such as AWS (preferred), Azure, or Google Cloud for deploying and managing AI/ML workflows and containerization tools like docker

Preferred/Nice to Have:

• Gen AI experience: 3+ years of experience developing products with, and guardrails for, LLMs strongly preferred
• No-Code AI Tools: Experience support end users of no-code AI-assistive tools and platforms and ability to support transitions of no-code prototypes to dev and production environments
• Data Engineering: Familiarity with data engineering concepts and tools, including data pipelines, ETL processes, data warehousing, the medallion architecture, and dbt
• Data science: Extensive experience answering questions with and deriving strategic insights from data, including proficiency in probability and statistics, data querying and transformation with SQL, and developing interactive data dashboards and applications with tools like Streamlit