Job Description
As leaders in the field, we have an important role in bringing the full AI potential to manufacturing. We are working closely with our customers delivering the right platform for machine learning together with the right solutions, infrastructures, and methodologies to handle the full life cycle of machine learning in production.
The Senior ML Engineer will be responsible for demonstrating made valuable contributions of the NI’s Optimal+ SW solution through usage of advanced machine learning methods and development of robust machine learning solutions and applications using innovative techniques.
As part of the company AI roadmap, the senior ML engineer will be responsible for evaluating different ML frameworks, algorithms, methodologies, and tools, build generic machine learning applications (from use case initiation to actual deployment) and initiate improvements of internal and external (customers) methods and practices.
The Industrial domain (Semiconductors, electronics and automotive) is very exciting as it comes to machine learning implementation and deployment due to the high cost of escapes/model inaccuracy, business workflow complexity, IT restrictions and regulation. If you are very skilled in ML, motivated by challenges and want to take a leading part in bringing the AI revolution to Industrial IoT – this may be the right position for you!
In this Role, Your Responsibilities Will Be:
- Collaborate with data scientists, machine learning engineers, developers, and sales to solve complex customer problems, and highlight opportunities on top of the NI Optimal+ solution using advanced machine learning methods
- Design & Develop AI models from research to production, create solutions across diverse use cases, from tabular ML to deep learning, computer vision, analysis, and generative AI
- Help design and implement infrastructures for robust and scalable machine learning life cycle support
- Be a pioneer by bringing AI into completely new use cases to help world leaders like Nvidia, Qualcomm, VW and GM improve their products quality and costs by using AI everywhere
- Continuously learn and develop new skills as you participate and lead projects across a variety of use cases as well as AI methodologies, algorithms, and technologies.
Who You Are:
You grow with challenges and bring a proactive, “can-do” demeanor to every project, consistently getting results. You’re committed to learning and mastering new areas and are motivated to take ownership and make things happen. You provide direct and actionable feedback and show personal commitment and take action to continuously improve. You push yourself and help others achieve results.
For This Role, You Will Need:
- Bachelor’s degree in computer science, Data Science, or related field
- 3+ years shown experience in AI/ML/DL or related field of delivering solutions to production
- Expertise in Python and libraries for ML & data i.e., Pandas, NumPy, Scikit-Learn, Pytorch
- In depth knowledge of machine learning techniques, deep learning, and statistical methods
- Customer facing and presentation skills
- Self-motivated, driven by challenges
Preferred Qualifications that Set You Apart:
- Expertise in the semiconductor and/or electronics industries
- M.Sc or equivalent experience. or PhD preferred
- Experience in generative AI especially in nonstandard domains like large datasets of tabular or waveforms data
Our Offer To You:
At Emerson, we are committed to fostering a culture where every employee is valued and respected for their unique experiences and perspectives. We believe a diverse and inclusive work environment chips in to the rich exchange of ideas and diversity of thoughts, that inspire innovation and brings the best solutions to our customers. We’re emphasizing a culture of togetherness – one that builds community, prioritizes collaboration and continuous improvement.
The philosophy is fundamental to living our company’s values and our responsibility to leave the world in a better place. Learn more about our Culture & Values and about Diversity, Equity, & Inclusion at Emerson .
Moreover, our global volunteer employee resource groups will empower you to connect with peers that share the same interest, promote diversity and inclusion and positively contribute to communities around us.
We understand the importance of work-life balance and are dedicated to supporting our employees' personal and professional needs. From competitive benefits plans and comprehensive medical care to equitable opportunities for growth and development we strive to create a workplace that is supportive and rewarding. Our work schedule aims at creating new levels of growth, build a stronger community and provide greater professional development for our employees.
Make this phenomenal opportunity yours!
