AI/ML Consultant

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.

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.