- Location: Hybrid, Walnut Creek , CA- Weekly 3 days in office and 2 days remote.
- Position: Senior AI/ML Engineer
Type :
C2H-Contract TO Hire-
This is
not a C2C position
— it’s strictly
W2
.-
**C2H
Summary**
Use generative artificial intelligence and machine learning tools to create business solutions to improve Member experience and operational efficiency. This role will require independent learning and problem solving to succeed.
Essential Functions
- Design and build AI solutions using Google Cloud AI and Salesforce AI platforms (20%)
- Train and fine tune models for performance, scalability and accuracy (15%)
- Collaborate with stakeholders across MWG to understand business requirements and identify opportunities for AI-driven solutions (5%)
- Evaluate training data for new solutions, and ensure high quality data sources (15%)
- Work with IT engineering and IT operations teams to integrate and deploy new solutions into MWG business systems (10%)
- Implement testing and ongoing monitoring programs so that deployed models improve reliability and accuracy over time (5%)
- Pilot proofs of concept to test new model approaches and validate proposals brought by business partner (15%)
- Be responsible for components of business partner-led projects and lead internal projects to improve processes and operations (5%)
- Business intelligence analysis and reporting (5%)
- Stay up-to-date on developments in generative AI and ML technology (5%)
Knowledge/Skills/Abilities
- Strong mathematical and analytical capacity
- Strong communication and cross-team collaboration skills
- Ability to work in an agile environment and work on multiple projects simultaneously
- Proficient in relevant development tools such as Python, SQL
- Experience with generative AI frameworks (TensorFlow, PyTorch, Hugging Face) and machine learning libraries (Scikit-learn, NumPy, Pandas)
- Understanding of machine learning algorithms, natural language processing, and deep learning architectures
- Experience and understanding of cloud technologies and implementations
- Experience with business intelligence tools (Tableau, Looker)
- Ability to mentor junior engineers and lead significant technical AI/ML projects
- Ability to understand and implement techniques for model explainability and interpretability
- Knowledge of ethical AI principals, responsible AI development and mitigating bias in models
Education & Experience / Licenses & Certification
- Bachelor's degree In Computer Science, Data Science, Artificial Intelligence, or a related field equivalent combination of education and experience.
- 7+ years of relevant experience including data science, analytics, data engineering and/or software engineering
- -OR- 3+ years of experience in developing and deploying machine learning or AI models
Contact:
Tags & focus areas
Used for matching and alerts on DevFound Fulltime Remote Ai Ai Engineer Machine Learning Deep Learning Data Science Nlp Generative Ai Pytorch