AI Senior Engineer or Lead Engineer (must Have Min 9+ Years of IT Exp) - St. Louis, MO - Contract W2
Position : AI Lead
Location : St Louis, MO (Hybrid)
Job Type : Contract to hire
Job Description:
· Lead and manage the AI research and development team.
· Develop and implement AI strategies that support business objectives.
· Oversee the design, development, and deployment of AI models and algorithms.
· Collaborate with cross-functional teams to integrate AI solutions into products.
· Monitor and analyze AI trends to ensure the company remains at the forefront of technology.
· Ensure scalability and efficiency in AI model deployment.
· Mentor team members and foster a collaborative working environment.
· Architect, design, and implement scalable AI/ML computing infrastructures and application stacks.
· Collaborate with scientists, data analysts, and business stakeholders to design and deploy AI solutions.
· Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption.
· Evaluate and implement best practices in AI/ML, data mining, and analytics.
· Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.
· Provide expert consultation on AI-related standards, best practices, and governance frameworks.
· Lead disaster recovery and business continuity planning for AI computing infrastructure.
· Stay updated with emerging technologies in AI and ML to enhance institutional capabilities.
Position : AI Lead
Location : St Louis, MO (Hybrid)
Job Type : Contract to hire
Job Description:
· Lead and manage the AI research and development team.
· Develop and implement AI strategies that support business objectives.
· Oversee the design, development, and deployment of AI models and algorithms.
· Collaborate with cross-functional teams to integrate AI solutions into products.
· Monitor and analyze AI trends to ensure the company remains at the forefront of technology.
· Ensure scalability and efficiency in AI model deployment.
· Mentor team members and foster a collaborative working environment.
· Architect, design, and implement scalable AI/ML computing infrastructures and application stacks.
· Collaborate with scientists, data analysts, and business stakeholders to design and deploy AI solutions.
· Develop and demonstrate AI use-cases, conducting workshops and training sessions to foster AI adoption.
· Evaluate and implement best practices in AI/ML, data mining, and analytics.
· Document architecture roadmaps, reference architectures, and standard operating procedures for AI solutions.
· Provide expert consultation on AI-related standards, best practices, and governance frameworks.
· Lead disaster recovery and business continuity planning for AI computing infrastructure.
· Stay updated with emerging technologies in AI and ML to enhance institutional capabilities.
