PeopleConnect Staffing
Head of Machine Learning & AI Engineer
PeopleConnect Staffing, Milwaukee, Wisconsin, United States, 53244
Overview Head of Machine Learning & AI Engineering role at PeopleConnect Staffing. Location: Remote in USA only; periodic travel to Seattle, Bay Area for team and client meetings. Compensation: $200,000 - $215,000 upon funding. Reports To: Chief Technology Officer (CTO). Team size: 2–4 Product Managers/Analysts within the initial 12 months, with cross-functional influence over design & data teams.
To be considered for an interview, please make sure your application is full in line with the job specs as found below. Responsibilities
Ensure customers experience deep, lasting success from the sales cycle through onboarding, ongoing use, impact, and renewal. Embed within the customer environment to understand context, challenges, needs, and use cases; ensure the platform delivers maximum relevance, adoption, and transformative value. Lead core AI model development and deployment efforts; define and execute AI/ML strategy for neuro-symbolic, human-in-the-loop applied vertical AI and agentic AI ecosystem solutions. Oversee the full ML project lifecycle—from research and prototyping to model training, evaluation, and production deployment. Mentor a team of ML engineers and data scientists, fostering innovation and engineering excellence in areas such as natural language understanding, knowledge graph reasoning, and reinforcement learning for agentic behavior. Qualifications/Requirements
5–10+ years of AI/ML experience with at least 5 years hands-on building and deploying ML models; several years in a leadership or tech lead role. Strong programming skills in Python; proficient in C++ or Java. Experience with TensorFlow, PyTorch, or scikit-learn; familiarity with distributed computing or big data (Spark, Hadoop). Cloud platforms experience (AWS, GCP, Azure) and scaling in production environments. Solid theoretical foundation in AI (algorithms, statistics, deep learning) and practical coding skills for implementing and optimizing models. Track record delivering AI solutions in real-world production settings; understands data quality, monitoring, and scalability concerns. Early-stage startup experience is highly preferred. Collaborative team player with a hands-on approach to development. Master’s or PhD in a related field; publications or patents are a plus. Citizen or Green Card Holder; not able to sponsor at this time. Qualified candidates please send resume to Karen@PeopleConnectStaffing.com
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To be considered for an interview, please make sure your application is full in line with the job specs as found below. Responsibilities
Ensure customers experience deep, lasting success from the sales cycle through onboarding, ongoing use, impact, and renewal. Embed within the customer environment to understand context, challenges, needs, and use cases; ensure the platform delivers maximum relevance, adoption, and transformative value. Lead core AI model development and deployment efforts; define and execute AI/ML strategy for neuro-symbolic, human-in-the-loop applied vertical AI and agentic AI ecosystem solutions. Oversee the full ML project lifecycle—from research and prototyping to model training, evaluation, and production deployment. Mentor a team of ML engineers and data scientists, fostering innovation and engineering excellence in areas such as natural language understanding, knowledge graph reasoning, and reinforcement learning for agentic behavior. Qualifications/Requirements
5–10+ years of AI/ML experience with at least 5 years hands-on building and deploying ML models; several years in a leadership or tech lead role. Strong programming skills in Python; proficient in C++ or Java. Experience with TensorFlow, PyTorch, or scikit-learn; familiarity with distributed computing or big data (Spark, Hadoop). Cloud platforms experience (AWS, GCP, Azure) and scaling in production environments. Solid theoretical foundation in AI (algorithms, statistics, deep learning) and practical coding skills for implementing and optimizing models. Track record delivering AI solutions in real-world production settings; understands data quality, monitoring, and scalability concerns. Early-stage startup experience is highly preferred. Collaborative team player with a hands-on approach to development. Master’s or PhD in a related field; publications or patents are a plus. Citizen or Green Card Holder; not able to sponsor at this time. Qualified candidates please send resume to Karen@PeopleConnectStaffing.com
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