AI/ML Engineer II

2 weeks ago

Hyderabad, Telangana, India Harsco Full time ₹ 12,00,000 - ₹ 36,00,000 per year

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 &

Preferred candidate profile

  • 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.

Education

Masters / Bachelors 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, Caf, PyTorch, Keras, Darknet and OpenCV.
  • Working knowledge of AI edge devices such as NVIDIA Jetson / Nano / Orin.
  • Knowledge of the Linux Operating System.

Preferred Skills

  • 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).

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