Artificial Intelligence Engineer
AI Engineer
6 month Contract to Hire
Position Summary:
As a member of the AI team, you will be driving Agentic AI and Generative AI integration across all business units. You will drive AI development and integration across the organization, directly impacting the company's global sustainability efforts and shaping how we leverage AI to serve Fortune 500 clients.
Responsibilities and Duties:
Strategic Leadership (10%):
• Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives.
• Provide guidance on data science projects (Agentic AI, Generative AI, and Machine Learning), aligning them with business objectives and best practices.
• Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements.
• Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions
Technical Leadership (40%):
• Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML.
• Utilize Python and relevant data science libraries, leveraging MLflow.
• Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices.
• Assist in development and documentation of standards for ethical and regulatory-compliant AI usage.
• Stay current with AI advancements, contributing to the team's knowledge and expertise.
• Perform hands-on data wrangling and AI model development
Operational Leadership (50%):
• Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling.
• Participate in Agile development processes (Scrum and Kanban).
• Ensure compliance with regulatory and ethical AI standards.
Required Abilities and Skills:
• Agentic AI development and deployment.
• Statistical modeling, machine learning algorithms, and data mining techniques.
• Databricks and MLflow for model training, deployment, and management on AWS.
• Working with large datasets on AWS and Databricks
Strong hands-on experience with:
• Agentic AI development and deployment.
• Working with large datasets on AWS and Databricks.
Desired Experience:
• Statistical modeling, machine learning algorithms, and data mining techniques.
• Databricks and MLflow for model training, deployment, and management on AWS.
• Experience integrating AI with IoT/event data.
• Experience with real-time and batch inference integration with SaaS applications.
• International team management experience.
• Track record of successful product launches in regulated environments
Education and Experience:
• 5+ years of data science/AI experience
• Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred).
• Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production.
• Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences.
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client
AI Engineer
6 month Contract to Hire
Position Summary:
As a member of the AI team, you will be driving Agentic AI and Generative AI integration across all business units. You will drive AI development and integration across the organization, directly impacting the company's global sustainability efforts and shaping how we leverage AI to serve Fortune 500 clients.
Responsibilities and Duties:
Strategic Leadership (10%):
• Champion the AI/ML roadmap, driving strategic planning and execution for all initiatives.
• Provide guidance on data science projects (Agentic AI, Generative AI, and Machine Learning), aligning them with business objectives and best practices.
• Foster a data-driven culture, advocating for AI-powered solutions to business challenges and efficiency improvements.
• Collaborate with product management, engineering, and business stakeholders to identify opportunities and deliver impactful solutions
Technical Leadership (40%):
• Architect and develop Proof-of-Concept (POC) solutions for Agentic AI, Generative AI, and ML.
• Utilize Python and relevant data science libraries, leveraging MLflow.
• Provide technical guidance on AI projects, ensuring alignment with business objectives and best practices.
• Assist in development and documentation of standards for ethical and regulatory-compliant AI usage.
• Stay current with AI advancements, contributing to the team's knowledge and expertise.
• Perform hands-on data wrangling and AI model development
Operational Leadership (50%):
• Drive continuous improvement through Agentic AI, Generative AI, and predictive modeling.
• Participate in Agile development processes (Scrum and Kanban).
• Ensure compliance with regulatory and ethical AI standards.
Required Abilities and Skills:
• Agentic AI development and deployment.
• Statistical modeling, machine learning algorithms, and data mining techniques.
• Databricks and MLflow for model training, deployment, and management on AWS.
• Working with large datasets on AWS and Databricks
Strong hands-on experience with:
• Agentic AI development and deployment.
• Working with large datasets on AWS and Databricks.
Desired Experience:
• Statistical modeling, machine learning algorithms, and data mining techniques.
• Databricks and MLflow for model training, deployment, and management on AWS.
• Experience integrating AI with IoT/event data.
• Experience with real-time and batch inference integration with SaaS applications.
• International team management experience.
• Track record of successful product launches in regulated environments
Education and Experience:
• 5+ years of data science/AI experience
• Bachelor's degree in Statistics, Data Science, Computer Engineering, Mathematics, or a related field (Master's preferred).
• Proven track record of deploying successful Agentic AI, Generative AI, and ML projects from concept to production.
• Excellent communication skills, able to explain complex technical concepts to both technical and non-technical audiences.
Benefit offerings include medical, dental, vision, term life insurance, short-term disability insurance, additional voluntary benefits, commuter benefits and 401K plan. Our program provides employees the flexibility to choose the type of coverage that meets their individual needs. Available paid leave may include Paid Sick Leave, where required by law; any other paid leave required by Federal, State or local law; and Holiday pay upon meeting eligibility criteria. Disclaimer: These benefit offerings do not apply to client-recruited jobs and jobs which are direct hire to a client
