AI/ML Engineer II at Enviri Corporation

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

05 Feb, 26

Salary

0.0

Posted On

07 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI, Machine Learning, Neural Networks, C++, Python, Linux, Deep Learning, Computer Vision, TensorFlow, PyTorch, OpenCV, Statistical Analysis, Data Architecture, Edge Computing, Mobile Platforms, Software Development

Industry

Environmental Services

Description

Company Description Enviri Corporation is a market-leading, global provider of environmental solutions for industrial, retail and medical waste streams, and innovative equipment and technology for the rail sector. We have an unrivalled breadth of experience across the globe and an impressive reputation stretching back more than a century. Based in Camp Hill, PA, with more than 13,000 employees and the company operates in more than 30 countries. About Enviri GSC Harsco GSC handles a wide range of services, finance and accounting shared services, global HR shared services, providing IT Service and helpdesk support and market research support to Harsco globally. We are Operating since 2008 & Serving 30+ Countries Job Description We are seeking an AI/ML Engineer to advance our automated railway equipment and safety technology. In this role, you will design, train, and deploy neural network solutions for real-world railroad challenges. You'll manage the full ML lifecycle—from prototyping and dataset creation to integration, bench testing, and crucial onsite field tests. The ideal candidate is a driven engineer proficient in C/C++ and Linux development, ready to make a meaningful impact on the safety and efficiency of global railroads. This is a key role on a specialized team with significant opportunities for professional growth at Harsco Rail. Watch some of our manned/unmanned track equipment & technology products in action at www.harscorail.com & https://www.protrantechnology.com/ Responsibilities Design and develop real time AI – Neural Network solutions for railway maintenance equipment. Implementing appropriate ML algorithms. Write clean, documented code following best practices. Develop and implement communication protocols. Work independently and collaboratively with a motivated team. Generate requirements and design documentation. Plan for, design, and deliver testing, and tested products into the QA process. Apply communication and problem-solving skills to solve software issues related to the design, development, deployment, testing, and operation of systems. Meet deadlines to ensure projects are completed within acceptable time and cost targets. Willingness and ability to travel up to 15% of time. Other duties may apply as required. Qualifications Education Master’s / Bachelor’s degree in Software Engineering / AI-ML or similar experience. Experience 3+ years of experience in developing CNN, R-CNN type neural network for computer vision tasks. 3+ years of experience in Software development using C++/Python language. Over 7 years of Industry experience. 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. Preferred Experience & Skill 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). Additional Information Disclaimer The information about this job description given above has been designed to indicate the general nature and level of work performed by employees within this classification. It is not designed to contain or be interpreted as a comprehensive inventory of all duties, responsibilities and qualifications required of employees assigned to this job.

Responsibilities

Design and develop real-time AI neural network solutions for railway maintenance equipment. Manage the full ML lifecycle from prototyping to integration and testing.