AIML Consultant
AIML Consultant
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Salary Not Disclosed
1 Vacancy
Job Description
- 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.
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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 decisionmaking 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 manufacturingspecific applications ensuring scalability and reliability.
- Oversee the deployment and integration of AI/ML solutions into manufacturing systems such as MES SCADA or ERP platforms.
- DataDriven 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 decisionmaking.
- 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:
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Education:
- Bachelors degree in Business Industrial Engineering Data Science or a related field. A Masters degree or MBA is preferred.
Skills & Expertise:
- Manufacturing Knowledge:
- Indepth 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 Scikitlearn).
- Experience with manufacturingspecific 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 costbenefit analyses to stakeholders.
- Collaboration & Communication:
- Strong communication and interpersonal skills to engage with technical and nontechnical stakeholders.
- Demonstrated ability to lead crossfunctional 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.
Employment Type
Full Time
