Sr. AI Consultant

Job Title: AI/ML Business Consultant (Manufacturing)

Job Location: Detroit, MI

Duration : Full Time

We are seeking an experienced and innovative AI/ML Business Consultant with expertise in the manufacturing domain to drive digital transformation and operational excellence. The ideal candidate will have a deep understanding of manufacturing processes and the ability to identify, design, and implement AI/ML solutions that enhance productivity, reduce costs, and improve decision-making across the value chain.

Key Responsibilities:

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.