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Baker Hughes

Staff Software Engineer

Reposted Yesterday
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In-Office
Powai, Mumbai Suburban, Maharashtra
Senior level
In-Office
Powai, Mumbai Suburban, Maharashtra
Senior level
The Staff Software Engineer will design and deploy Edge AI solutions, optimize AI/ML models, manage model lifecycles, integrate IoT devices with cloud platforms, and provide technical leadership.
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Job Description

Staff Software Engineer

Join our Baker Hughes Team!
We are seeking an experienced technology professional (8–10 years) with an engineering background (B.Tech / Masters) and strong expertise in Edge Computing, Edge AI, IoT, and Cloud integration. This role combines hands‑on technical leadership with strategic oversight, focusing on deploying AI/ML models at the edge, enabling anomaly detection and predictive maintenance, and integrating IoT devices with cloud platforms for scalable analytics.

Partner with the best
As a Staff Software Engineer, you will be responsible for:

  • Design and deploy Edge AI solutions for anomaly detection and predictive maintenance.
  • Optimize and run AI/ML models at the edge on constrained devices for real‑time insights.
  • Manage model lifecycle — training, validation, deployment, monitoring, and retraining.
  • Continuously fine‑tune models to adapt to evolving data patterns and maintain accuracy.
  • Validate third‑party connectors, gateways, and converters to ensure reliability in edge deployments.
  • Integrate IoT devices with edge/cloud platforms (Azure, AWS, GCP) for secure pipelines and scalable analytics.
  • Provide technical leadership and mentor teams on best practices in Edge AI and IoT.

Fuel your passion

To be successful in this role you will:

  • 8–10 years of experience in IoT, Edge Computing, or Cloud‑based analytics roles.
  • Engineering degree (B.Tech / Masters) in Computer Science, Electronics, Electrical, or related fields.
  • Proven expertise with Edge Computing platforms (Azure IoT Edge, AWS Greengrass, NVIDIA Jetson, etc.).
  • Strong knowledge of AI/ML frameworks (TensorFlow Lite, PyTorch Mobile, ONNX Runtime) and deployment on constrained devices.
  • Hands‑on experience with IoT protocols (MQTT, CoAP, Modbus, OPC UA) and device integration.
  • Practical exposure to cloud services for IoT and analytics (Azure IoT Hub, AWS IoT Core, Google Cloud IoT).
  • Demonstrated success in predictive maintenance and anomaly detection projects.

Work in a way that works for you

We recognize that everyone is different and that the way in which people want to work and deliver at their best is different for everyone too. In this role, we can offer the following flexible working patterns:

  • Working flexible hours - flexing the times when you work in the day to help you fit everything in and work when you are the most productive.

Working with us

Our people are at the heart of what we do at Baker Hughes. We know we are better when all of our people are developed, engaged and able to bring their whole authentic selves to work. We invest in the health and well-being of our workforce, train and reward talent and develop leaders at all levels to bring out the best in each other.

Working for you

Our inventions have revolutionized energy for over a century. But to keep going forward tomorrow, we know we have to push the boundaries today. We prioritize rewarding those who embrace change with a package that reflects how much we value their input. Join us, and you can expect:

  • Contemporary work-life balance policies and wellbeing activities
  • Comprehensive private medical care options
  • The safety net of life insurance and disability programs
  • Tailored financial programs.
  • Additional elected or voluntary benefits

Top Skills

Aws Greengrass
Aws Iot Core
Azure Iot Edge
Azure Iot Hub
Cloud Integration
Coap
Docker
Edge Ai
Edge Computing
Google Cloud Iot
Iot
Kubernetes
Modbus
Mqtt
Nvidia Jetson
Onnx Runtime
Opc Ua
Pytorch Mobile
Tensorflow Lite

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