AI/ML Consultant.

Pentangle Tech Services | P5 Group; Detroit (MI); On-site; USD 120,000 - 180,000; Full time

Job summary

Pentangle Tech Services | P5 Group seeks an experienced AI/ML Strategy Consultant to partner with manufacturing leaders. You will identify high-impact use cases, design AI/ML strategies, and guide deployment across MES, ERP, and SCADA environments. You will drive data-driven decisions and ROI-focused outcomes.

Applicants should bring 10+ years in business consulting with 3+ years in AI/ML for manufacturing and be adept at cross-functional collaboration and change management.

Qualifications

• 10+ years of experience in business consulting, with at least 3 years focused on AI/ML solutions in manufacturing.
• Proven track record of delivering measurable results through AI/ML initiatives in the manufacturing sector.

Responsibilities

• Partner with manufacturing leaders to identify business challenges and opportunities that can be addressed using AI/ML solutions.
• Develop and present AI/ML strategies tailored to manufacturing operations, including production optimization, predictive maintenance, and quality control.
• Oversee the deployment and integration of AI/ML solutions into manufacturing systems, such as MES, SCADA, or ERP platforms.
• Leverage data analytics and AI to provide actionable insights that optimize production schedules, reduce downtime, and enhance operational efficiency.
• Act as the liaison between business stakeholders and technical teams, ensuring clear communication and alignment on goals.
• Develop strategies to ensure smooth adoption of AI/ML solutions within manufacturing operations.
• Stay updated on the latest AI/ML trends, tools, and methodologies in manufacturing, such as IoT, digital twins, and edge computing.

Skills

AI/ML strategy

ROI analysis

Cross-functional leadership

Data storytelling

Manufacturing domain knowledge

Education

Bachelor’s degree in Business, Industrial Engineering, Data Science, or related field

Master’s degree or MBA preferred

Tools

TensorFlow

PyTorch

Scikit-learn

Power BI/ Tableau / Qlik

AWS IoT / Azure IoT / Google Cloud IoT

MES / ERP / SCADA

Job description

Partner with manufacturing leaders to identify business challenges and opportunities that can be addressed using AI/ML solutions.

Develop and present AI/ML strategies tailored to manufacturing operations, including production optimization, predictive maintenance, and quality control.

Strategic Advisory

• Partner with manufacturing leaders to identify business challenges and opportunities that can be addressed using AI/ML solutions.
• Develop and present AI/ML strategies tailored to manufacturing operations, including production optimization, predictive maintenance, and quality control.

Use Case Identification

• Analyze manufacturing workflows, supply chain operations, and data sources to uncover AI/ML use cases such as process automation, demand forecasting, and defect detection.
• Assess feasibility and ROI of proposed solutions, aligning with business objectives.

Solution Design & Implementation

• Collaborate with technical teams to design AI/ML models for manufacturing-specific applications, ensuring scalability and reliability.
• Oversee the deployment and integration of AI/ML solutions into manufacturing systems, such as MES, SCADA, or ERP platforms.

Data-Driven Decision Making

• Leverage data analytics and AI to provide actionable insights that optimize production schedules, reduce downtime, and enhance operational efficiency.
• Drive adoption of predictive and prescriptive analytics for better decision-making.

Stakeholder Engagement

• Act as the liaison between business stakeholders and technical teams, ensuring clear communication and alignment on goals.
• Provide regular progress updates, insights, and recommendations to manufacturing leaders and executives.

Change Management

• Develop strategies to ensure smooth adoption of AI/ML solutions within manufacturing operations.
• Conduct workshops and training sessions to build organizational AI/ML literacy.

Innovation & Continuous Improvement

• Stay updated on the latest AI/ML trends, tools, and methodologies in manufacturing, such as IoT, digital twins, and edge computing.
• Benchmark AI/ML implementations against industry best practices and recommend continuous improvements.

Qualifications

Education:

• Bachelor’s degree in Business, Industrial Engineering, Data Science, or a related field. A Master’s degree or MBA is preferred.

Experience

• 10+ years of experience in business consulting, with at least 3 years focused on AI/ML solutions in manufacturing.
• Proven track record of delivering measurable results through AI/ML initiatives in the manufacturing sector.

Skills & Expertise

Manufacturing Knowledge

• In-depth understanding of manufacturing processes, including production planning, supply chain management, and quality assurance.
• Familiarity with manufacturing systems such as MES, ERP, and SCADA.

AI/ML Expertise

• Strong understanding of AI/ML concepts, tools, and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
• Experience with manufacturing-specific AI applications like predictive maintenance, defect detection, and process optimization.

Data Analytics

• Proficiency in data analysis and visualization tools such as Power BI, Tableau, or Qlik.
• Experience with big data and IoT platforms like AWS IoT, Azure IoT Hub, or Google Cloud IoT.

Business Acumen

• Ability to translate complex technical concepts into business language.
• Expertise in calculating ROI and presenting cost-benefit analyses to stakeholders.

Collaboration & Communication

• Strong communication and interpersonal skills to engage with technical and non-technical stakeholders.
• Demonstrated ability to lead cross-functional teams and drive project success.

Preferred Qualifications

• Certifications in AI/ML (e.g., AWS Certified Machine Learning, Google Cloud ML Engineer).
• Experience with advanced manufacturing technologies like digital twins, robotics, and IoT.

Knowledge of compliance standards and regulations in the manufacturing sector