Manufacturing AI/ML Optimization Engineer at Schneider Electric USA, Inc in Nashville, Tennessee

Job Description:

Schneider Electric is in search of a Manufacturing AI/ML Optimization Engineer who will focus on leveraging artificial intelligence and machine learning to enhance manufacturing processes and efficiencies. This role will play a crucial role in transforming manufacturing operations by implementing intelligent systems that can learn and adapt over time, leading to improved efficiency and productivity.

Hybrid/Flexible work schedule

What will you do in this role?
• Design and Implement AI/ML Solutions: Develop and deploy machine learning models to optimize manufacturing processes, such as predictive maintenance, quality control, and supply chain optimization.
• Data Analysis and Preprocessing: Clean, preprocess, and analyze large datasets to ensure high-quality input for machine learning models.
• Model Training and Evaluation: Train machine learning models on historical and real-time data, fine-tune hyperparameters, and evaluate model performance using various metrics.
• Continuous Improvement: Implement continuous learning systems that adapt and improve over time based on new data and feedback.
• Collaboration: Work closely with manufacturing business leaders, process experts, and data engineers to identify optimization opportunities and align AI/ML solutions with business goals.
• Technology Evaluation: Stay updated with emerging AI/ML technologies and evaluate their potential application in manufacturing environments.
• Deployment and Monitoring: Integrate machine learning models into production systems and monitor their performance to ensure they operate efficiently in real-time environments.

What qualifications will make you successful for this role?
• BS Degree in Computer science, mathematics, engineering, supply chain or related field
• Minimum 3 years of experience in a highly technical programming/engineering role
• Proficiency in programming languages such as Python, R, and SQL
• Experience with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of data structures, data modeling, and statistical analysis.
• Deep knowledge of algorithms, probability, and statistics.
• Familiarity with tools like Hadoop, Spark, and SQL for handling large datasets.
• Prior experience optimizing shop floor equipment, data monitoring and machine learning.
• Excellent analytical and problem-solving skills to tackle complex manufacturing challenges.
• Ability to explain technical concepts to non-technical stakeholders and work effectively in a team.

Schneider Electric offers a robust benefits package to support our employees such as flexible work arrangements, paid family leave, 401(k)+ match, and more. Click here to find out more about working with us: http://se.com/us/careers .

We seek out and reward people for putting the customer first, being disruptive to the status quo, embracing different perspectives, continuously learning, and acting like owners. We're recognized around the world for welcoming people as they are. We create an inclusive culture where all forms of diversity are seen as a real value for the company. See what our people have to say about working for Schneider Electric. https://youtu.be/C7sogZ_oQYg

Who will you report to?
GSC Data/Analytics Leader

Let us learn about you! Apply today.

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Looking to make an IMPACT with your career?

When you are thinking about joining a new team, culture matters. At Schneider Electric, our values and behaviors are the foundation for creating a great culture to support business success. We believe that our IMPACT values - Inclusion, Mastery, Purpose, Action, Curiosity, Teamwork - starts with us.

IMPACT is also your invitation to join Schneider Electric where you can contribute to turning sustainability ambition into actions, no matter what role you play. It is a call to connect your career with the ambition of achieving a more resilient, efficient, and sustainable world.

We are looking for IMPACT Makers; exceptional people who turn sustainability ambitions into actions at the intersection of automation, electrification, and digitization. We celebrate IMPACT Makers and believe everyone has the potential to be one.

Become an IMPACT Maker with Schneider Electric - apply today!

€36 billion global revenue
+13% organic growth
150 000+ employees in 100+ countries
#1 on the Global 100 World's most sustainable corporations

You must submit an online application to be considered for any position with us. This position will be posted until filled.

Schneider Electric aspires to be the most inclusive and caring company in the world, by providing equitable opportunities to everyone, everywhere, and ensuring all employees feel uniquely valued and safe to contribute their best. We mirror the diversity of the communities in which we operate, and 'inclusion' is one of our core values. We believe our differences make us stronger as a company and as individuals and we are committed to championing inclusivity in everything we do. This extends to our Candidates and is embedded in our Hiring Practices.

You can find out more about our commitment to Diversity, Equity and Inclusion here and our DEI Policy here

At Schneider Electric, we uphold the highest standards of ethics and compliance, and we believe that trust is a foundational value. Our Trust Charter is our Code of Conduct and demonstrates our commitment to ethics, safety, sustainability, quality and cybersecurity, underpinning every aspect of our business and our willingness to behave and respond respectfully and in good faith to all our stakeholders. You can find out more about our Trust Charter here

Schneider Electric is an Equal Opportunity Employer. It is our policy to provide equal employment and advancement opportunities in the areas of recruiting, hiring, training, transferring, and promoting all qualified individuals regardless of race, religion, color, gender, disability, national origin, ancestry, age, military status, sexual orientation, marital status, or any other legally protected characteristic or conduct.Schneider Electric is in search of a Manufacturing AI/ML Optimization Engineer who will focus on leveraging artificial intelligence and machine learning to enhance manufacturing processes and efficiencies. This role will play a crucial role in transforming manufacturing operations by implementing intelligent systems that can learn and adapt over time, leading to improved efficiency and productivity.

Hybrid/Flexible work schedule

What will you do in this role?
• Design and Implement AI/ML Solutions: Develop and deploy machine learning models to optimize manufacturing processes, such as predictive maintenance, quality control, and supply chain optimization.
• Data Analysis and Preprocessing: Clean, preprocess, and analyze large datasets to ensure high-quality input for machine learning models.
• Model Training and Evaluation: Train machine learning models on historical and real-time data, fine-tune hyperparameters, and evaluate model performance using various metrics.
• Continuous Improvement: Implement continuous learning systems that adapt and improve over time based on new data and feedback.
• Collaboration: Work closely with manufacturing business leaders, process experts, and data engineers to identify optimization opportunities and align AI/ML solutions with business goals.
• Technology Evaluation: Stay updated with emerging AI/ML technologies and evaluate their potential application in manufacturing environments.
• Deployment and Monitoring: Integrate machine learning models into production systems and monitor their performance to ensure they operate efficiently in real-time environments.

What qualifications will make you successful for this role?
• BS Degree in Computer science, mathematics, engineering, supply chain or related field
• Minimum 3 years of experience in a highly technical programming/engineering role
• Proficiency in programming languages such as Python, R, and SQL
• Experience with machine learning frameworks like TensorFlow, PyTorch, and scikit-learn.
• Strong understanding of data structures, data modeling, and statistical analysis.
• Deep knowledge of algorithms, probability, and statistics.
• Familiarity with tools like Hadoop, Spark, and SQL for handling large datasets.
• Prior experience optimizing shop floor equipment, data monitoring and machine learning.
• Excellent analytical and problem-solving skills to tackle complex manufacturing challenges.
• Ability to explain technical concepts to non-technical stakeholders and work effectively in a team.