AI Consultant - Manufacturing Industry Experience must

Job Description

Job description :

• 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.
• 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.