Software Engineer

At Alstom, we understand transport networks and what moves people. From high-speed trains, metros, monorails, and trams, to turnkey systems, services, infrastructure, signalling and digital mobility, we offer our diverse customers the broadest portfolio in the industry. Every day, 80,000 colleagues lead the way to greener and smarter mobility worldwide, connecting cities as we reduce carbon and replace cars.

Could you be the full-time Software Engineer - AI/ML in Channi(Vadodara)we’re looking for?

Your future role

Take on a new challenge and apply your comprehensive software development expertise in a new cutting-edge field. You’ll work alongside dedicated, innovative, and collaborative teammates.

You'll be part of the product development team and will be responsible for railway-based software development using cutting-edge technology. Day-to-day, you’ll work closely with teams across the business (TCMS Product/HMI Products/Platform Development, Quality Assurance, Delivery Management), manage team deliverables, and much more.

You’ll specifically take care of setting clear directions and objectives, engaging with experts, and ensuring adherence to standard methodologies and processes, but also nurturing and identifying talent within your team.

We’ll look to you for:

• Quality assurance with a first-time quality rate goal of >95%

• Adherence to delivery schedules with 100% On-Time Delivery (OTD)

• Application of standard methodologies and processes for projects

• Continuous improvement and management of Return on Experience (RoE)

• Effective engineering management plan development and execution

• Proactive collaboration and workload management

All about you

We value passion and attitude over experience. That’s why we don’t expect you to have every single skill. Instead, we’ve listed some that we think will help you succeed and grow in this role:

• Bachelor’s or Master’s degree in Electronics, Computer Engineering, or a related field

• 2+ years of experience in AI/ML development, analytics product development, and data science

• Proficiency in Python, C++, and Linux fundamentals

• Experience with open-source libraries like TensorFlow, PyTorch, and OpenCV

• Expertise in computer vision (e.g., object detection, tracking, classification)

• Experience with audio analytics (e.g., event detection, classification)

• Familiarity with edge AI tools (e.g., ONNX, TensorRT, model quantization)

• Knowledge of Machine Learning algorithms such as Regression, Random Forest, Decision Trees, Ensemble Models, etc.

• Understanding of Deep Learning algorithms such as ANN, CNN, and YOLO

• Knowledge of network protocols like Ethernet, CAN, RS232, RS485, MVB, CIP, TRDP, RTSP, HTTP, etc.

• Experience with train control and monitoring systems (preferred)

Things you’ll enjoy Join us on a life-long transformative journey – the rail industry is here to stay, so you can grow and develop new skills and experiences throughout your career. You’ll also:

• Enjoy stability, challenges, and a long-term career free from boring daily routines

• Work with new security standards for rail signalling

• Collaborate with transverse teams and helpful colleagues

• Contribute to innovative projects

• Utilise our inclusive and flexible working environment

• Steer your career in whatever direction you choose across functions and countries

• Benefit from our investment in your development, through award-winning learning

• Progress towards leadership or technical expertise roles

• Benefit from a fair and dynamic reward package that recognises your performance and potential, plus comprehensive and competitive social coverage (life, medical, pension)

You don’t need to be a train enthusiast to thrive with us. We guarantee that when you step onto one of our trains with your friends or family, you’ll be proud. If you’re up for the challenge, we’d love to hear from you!

As a global business, we’re an equal-opportunity employer that celebrates diversity across the 63 countries we operate in. We’re committed to creating an inclusive workplace for everyone.