Overview
Remote
Depends on Experience
Full Time
Accepts corp to corp applications
Able to Provide Sponsorship
Skills
AI
Ml
Job Details
AI-ML Platform Tech Lead & Arch
Location: Remote, USA
Key Responsibilities:
- Design and architect scalable AI platforms to develop, deploy AI solutions leveraging ML techniques and Deep Learning Techniques.
- Drive Joint Architecture Design to collaborating with business stakeholders, data scientists, engineering teams, product, and other key partners to gather functional, non-functional requirements for solving AI use case on the AI Platform
- Evaluate emerging technologies and tools in AI area and do fitment analysis to the Enterprise AI Platform and capabilities strategy.
- Define and implement AI/ML architecture best practices, frameworks, and standards.
- Lead AI/ML infrastructure setup, including cloud services selection, data pipelines, and model deployment.
- Ensure robustness, reliability, and scalability of AI/ML solutions in production environments.
- Design and implement data governance, security, and compliance measures for AI/ML platforms.
- Optimize AI/ML workflows for performance, cost efficiency, and resource utilization.
- Provide technical leadership and mentorship to AI/ML development teams.
- Communicate AI/ML architecture decisions and strategies to stakeholders and executives.
Key Requirements:
Proven experience as an AI/ML platform architect
- Deep understanding of ML algorithms, Deep Learning architechture, models, and frameworks (e.g., TensorFlow, PyTorch, Scikit-Learn).
- Expertise in cloud platforms (e.g., Google Cloud Platform, Azure) and their AI services.
- Strong knowledge of Model development life cycle, software engineering principles, data engineering principles
- Experience with containerization and orchestration tools onprem and cloud (e.g., AKS, GKE, OpenShift Container Platform, Docker, Kubernetes) for deploying AI/ML models.
- Ability to design and optimize distributed computing systems for AI/ML workloads.
- Familiarity with DevOps practices, CI/CD pipelines, and automation tools in AI-ML contexts.
- Excellent problem-solving skills and ability to address complex technical challenges.
- Effective communication skills to collaborate with cross-functional teams and stakeholders.
What will make people successful in the team:
- Superior tech skills with coding to design to presentation
- On the feet thinking
- Outstanding communication skills
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.