Most Loved Workplace® Certified JobAI/ML Engineer
Most Loved Workplace® Certified JobAbout the Role
At Enviri Corporation, a Most Loved Workplace® certified employer in the Facilities Services space.
We are looking for a driven team member to contribute to the development of our technology product serving in area of automating railway track equipment and improving safety of the railroad operation. This presents an exceptional opportunity to enhance professional expertise and contribute to a specialized team. As an AI Machine Learning Engineer, the individual in this role typically works full-time, focusing on designing and developing scalable solutions using AI tools and machine learning models. The primary responsibilities include addressing various neural network-related challenges in the railroad and transportation sectors. This involves leveraging big data computation and storage tools to create prototypes and datasets, conducting model training and evaluations, integrating solutions, performing bench tests and onsite tests, tuning, and monitoring. Proficiency in languages such as C and C++ is required, along with software development for Linux platforms. Successful execution of responsibilities is expected to open up significant career opportunities within Harsco Rail. Team get to work on popular products that serve major railroads across the globe. Engineers here are designing products that make a meaningful impact in the railroad industry. We use cutting edge technology to design & develop next generation railroad equipment & digital devices.
Want to learn more about what it's like to work at Enviri Corporation? View our full profile.
Requirements
- Master’s / Bachelor’s degree in Software Engineering or similar experience.
- 3+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks.
- 7+ years of experience in Software development using C++/Python language.
- Experience with Supervised and Semi-Supervised Learning, Deep Learning, Support Vector Machines, Linear and Logistic Regression.
- Working knowledge of AI Framework such as TensorFlow, Café, PyTorch, Keras, Darknet and OpenCV.
- Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
- Knowledge of the Linux Operating System.
- Experience using statistical computer languages (R, Python, SQL etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Knowledge of a variety of machine learning techniques (semantic segmentation, clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
- Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
- Experience with edge computing & controlling devices (On-device deployment in C/C++ or similar) for real time application.
- Experience with optimizing neural networks to perform well on low-power mobile platforms (e.g. pruning, distillation, quantization).
- Able to follow directions, detail-oriented, patient, and quality focused.
- The ability to attend work predictably and regularly.
- The ability to deal politely and professionally with team members and colleagues.
- The ability to manage several tasks at once.
- The ability to use a computer to communicate, create, and access information.
- Available to work overtime as needed.
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Why This Is a Most Loved Workplace® Certified Job
Systemic Collaboration
Their work creates a better tomorrow. Our vision is to be a global leader of environmental solutions. As climate change makes headlines, our job is more important than ever. We partner with our clients to mitigate their most complex environmental challenges to transform the world to green.
Positive Vision for the Future
We are dedicated to living them every day. In 2023, we refreshed our values to be more action-oriented and added a new value, “Be Environmental,” tying to our core vision. Through our CEO Impact Awards, we celebrate employees who demonstrate our values in action. We are committed to a safe and appealing workplace and competitive benefits.
Alignment of Values
Continually demonstrating our strength to transform through our commitment to innovation. Nick considers our values in every business decision. He creates value for all stakeholders by exploring new opportunities and working to reduce our partners’ environmental footprints.
Respect
Following Enviri’s Code of Conduct, we turn our Values into everyday behaviors. Be Inclusive and Be Respectful are Enviri Values, and we exemplify it in all we do.
Killer Outcomes
Challenging one another. By recognizing great work and ideas, we demonstrate to each other what is expected of us. Collaboration is not just promoted, but routinely rewarded.
Frequently Asked Questions About Working at Enviri Corporation
Common questions candidates ask about this role and Enviri Corporation's workplace
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