Staff Software Engineer at Baker Hughes in Mumbai, Maharashtra, India | Kablio

Role

Description

edge ai

model optimization

iot integration

container orchestration

hybrid architecture

model lifecycle

Key responsibilities include designing and deploying Edge AI solutions for anomaly detection and predictive maintenance, and optimizing AI/ML models to run on constrained edge devices for real‑time insights. The engineer will manage the entire model lifecycle—training, validation, deployment, monitoring, and retraining—while continuously fine‑tuning models to maintain accuracy as data patterns evolve. Additional duties involve validating third‑party connectors and gateways, integrating IoT devices with cloud platforms such as Azure, AWS, or GCP, and providing technical leadership and mentorship to teams.

Design and deploy Edge AI solutions for anomaly detection and predictive maintenance.
Optimize AI/ML models for real‑time inference on constrained edge devices.
Manage the full model lifecycle: training, validation, deployment, monitoring, and retraining.
Validate third‑party connectors, gateways, and converters for reliable edge deployments.
Integrate IoT devices with cloud platforms (Azure, AWS, GCP) to create secure, scalable pipelines.
Provide technical leadership and mentor teams on Edge AI and IoT best practices.
Utilize containerization/orchestration tools (Docker, Kubernetes) for edge workloads.
Design hybrid cloud‑edge architectures for scalable IoT solutions.
Communicate technical concepts clearly to executive stakeholders.

Requirements

edge computing

iot

docker

kubernetes

tensorflow

engineering

We are seeking an experienced technology professional with 8–10 years of experience and an engineering background (B.Tech or Masters). The ideal candidate has strong expertise in Edge Computing, Edge AI, IoT, and cloud integration. This role blends hands‑on technical leadership with strategic oversight to deploy AI/ML models at the edge for anomaly detection, predictive maintenance, and scalable analytics.

Candidates must have 8–10 years of experience in IoT, Edge Computing, or cloud‑based analytics, and hold an engineering degree in Computer Science, Electronics, Electrical, or a related field. Proven expertise with Edge platforms (e.g., Azure IoT Edge, AWS Greengrass, NVIDIA Jetson) and AI/ML frameworks (TensorFlow Lite, PyTorch Mobile, ONNX Runtime) is required, along with hands‑on experience using IoT protocols like MQTT, CoAP, Modbus, and OPC UA. Demonstrated success in predictive maintenance and anomaly detection projects and familiarity with cloud services such as Azure IoT Hub, AWS IoT Core, and Google Cloud IoT are also essential.

Preferred attributes include experience with containerization and orchestration tools (Docker, Kubernetes) for edge workloads, and knowledge of hybrid cloud‑edge architectures that enable scalable IoT deployments. Strong communication skills are needed to translate technical details for executive audiences, and a collaborative mindset is essential for leading teams and driving adoption of edge and cloud solutions.

Continuously fine‑tune models to adapt to evolving data patterns.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1907-founded

Year Established

The company has over a century of experience in the energy and industrial sectors.

120+ Countries

Global Presence

Operates across a wide range of industries and regions worldwide.

Specializing in oil and gas exploration, drilling, and production, the company has a history of pioneering new technologies.
Notable for innovations like the world's first automated drilling system, the company has been at the forefront of optimizing energy operations.
The company is integral to major global projects, from large-scale energy exploration to developing critical infrastructure.
Has built a reputation for solving complex challenges, with a focus on safety, efficiency, and sustainability.
In recent years, the company has expanded its portfolio to include digital solutions, automation, and advanced analytics.
Has contributed significantly to global energy transitions, developing cutting-edge solutions for energy efficiency and sustainability.

Culture + Values

Act with integrity, responsibility and compliance every day
People First, Energy Forward
Eight Behaviors – aligning core values to HOW we work
Empower employees to drive sustainable practices
Promote leadership & professional development through initiatives like career weeks and individual development plans

Environment + Sustainability

29.3% Reduction

Emissions Reduction

Absolute reduction in scope 1 and 2 emissions compared to 2019 baseline.

50% Target

Emissions Target

Interim emissions reduction target of 50% by 2030, building toward net-zero by 2050.

34.2% Share

Renewable Electricity

Increase in renewable/zero-carbon electricity share of total site electricity since 2019.

$0.8B Orders

Low-Carbon Solutions

Revenue from orders in new energy portfolio, including carbon capture, hydrogen, and geothermal technologies.

Renewable/zero-carbon electricity used at ~12% of global sites (88 locations).
13.8% reduction in total waste since 2022.
51.5% reduction in hazardous waste since 2022.
Recycling rate increased from 25.5% (2022) to 32.6% (2024).
16.5% reduction in total water withdrawal since 2022.
43.1% reduction in chemical spills since 2022.
100% of sites assessed for biodiversity risks; 199 near protected areas.
560 emissions life-cycle assessments in 2024; total nearly 1,000 LCAs.

Inclusion & Diversity

150+ Nationalities

Global Workforce Diversity

The company employs individuals from over 150 different nationalities, reflecting a highly global team.

79% Non-US Employees

Geographic Distribution

Nearly 80% of the workforce is located outside the United States, emphasizing global reach.

14.2% Women in STEM

Gender Representation in Key Roles

Women make up 14.2% of employees in science, technology, engineering, and mathematics roles.

38.3% People-of-Color in US

US Diversity Metrics

People of color represent 38.3% of the US workforce, showing progress toward equity.

Women representation increased 0.4 pp year-over-year to 19.5%
Inclusion index scored 70.0%; culture index 66.0%
Total attrition reduced from 12.0% to 10.2%; voluntary attrition from 8.6% to 7.0%
~10,000 external hires; 22.9% women
Average 22 hours of learning per employee
1,252 completions of new sustainability modules; 32 live inclusive-leadership sessions
68.4% of employees received performance/career-development reviews
15.5% of employees in ERGs (+12.2% YoY)
$410 million spent with diverse suppliers and small businesses
Global Parental Leave: minimum 18 weeks at full base pay for primary parent, gender-neutral

Articles

Careers at Baker Hughes

Baker Hughes Projects

Role

Description

edge ai

model optimization

iot integration

container orchestration

hybrid architecture

model lifecycle

Design and deploy Edge AI solutions for anomaly detection and predictive maintenance.
Optimize AI/ML models for real‑time inference on constrained edge devices.
Manage the full model lifecycle: training, validation, deployment, monitoring, and retraining.
Validate third‑party connectors, gateways, and converters for reliable edge deployments.
Integrate IoT devices with cloud platforms (Azure, AWS, GCP) to create secure, scalable pipelines.
Provide technical leadership and mentor teams on Edge AI and IoT best practices.
Utilize containerization/orchestration tools (Docker, Kubernetes) for edge workloads.
Design hybrid cloud‑edge architectures for scalable IoT solutions.
Communicate technical concepts clearly to executive stakeholders.

Requirements

edge computing

iot

docker

kubernetes

tensorflow

engineering

Continuously fine‑tune models to adapt to evolving data patterns.

Benefits

Information not given or found

Training + Development

Information not given or found

Interview process

Information not given or found

Visa Sponsorship

Information not given or found

Security clearance

Information not given or found

Company

Overview

1907-founded

Year Established

The company has over a century of experience in the energy and industrial sectors.

120+ Countries

Global Presence

Operates across a wide range of industries and regions worldwide.

Specializing in oil and gas exploration, drilling, and production, the company has a history of pioneering new technologies.
Notable for innovations like the world's first automated drilling system, the company has been at the forefront of optimizing energy operations.
The company is integral to major global projects, from large-scale energy exploration to developing critical infrastructure.
Has built a reputation for solving complex challenges, with a focus on safety, efficiency, and sustainability.
In recent years, the company has expanded its portfolio to include digital solutions, automation, and advanced analytics.
Has contributed significantly to global energy transitions, developing cutting-edge solutions for energy efficiency and sustainability.

Culture + Values

Act with integrity, responsibility and compliance every day
People First, Energy Forward
Eight Behaviors – aligning core values to HOW we work
Empower employees to drive sustainable practices
Promote leadership & professional development through initiatives like career weeks and individual development plans

Environment + Sustainability

29.3% Reduction

Emissions Reduction

Absolute reduction in scope 1 and 2 emissions compared to 2019 baseline.

50% Target

Emissions Target

Interim emissions reduction target of 50% by 2030, building toward net-zero by 2050.

34.2% Share

Renewable Electricity

Increase in renewable/zero-carbon electricity share of total site electricity since 2019.

$0.8B Orders

Low-Carbon Solutions

Revenue from orders in new energy portfolio, including carbon capture, hydrogen, and geothermal technologies.

Renewable/zero-carbon electricity used at ~12% of global sites (88 locations).
13.8% reduction in total waste since 2022.
51.5% reduction in hazardous waste since 2022.
Recycling rate increased from 25.5% (2022) to 32.6% (2024).
16.5% reduction in total water withdrawal since 2022.
43.1% reduction in chemical spills since 2022.
100% of sites assessed for biodiversity risks; 199 near protected areas.
560 emissions life-cycle assessments in 2024; total nearly 1,000 LCAs.

Inclusion & Diversity

150+ Nationalities

Global Workforce Diversity

The company employs individuals from over 150 different nationalities, reflecting a highly global team.

79% Non-US Employees

Geographic Distribution

Nearly 80% of the workforce is located outside the United States, emphasizing global reach.

14.2% Women in STEM

Gender Representation in Key Roles

Women make up 14.2% of employees in science, technology, engineering, and mathematics roles.

38.3% People-of-Color in US

US Diversity Metrics

People of color represent 38.3% of the US workforce, showing progress toward equity.

Women representation increased 0.4 pp year-over-year to 19.5%
Inclusion index scored 70.0%; culture index 66.0%
Total attrition reduced from 12.0% to 10.2%; voluntary attrition from 8.6% to 7.0%
~10,000 external hires; 22.9% women
Average 22 hours of learning per employee
1,252 completions of new sustainability modules; 32 live inclusive-leadership sessions
68.4% of employees received performance/career-development reviews
15.5% of employees in ERGs (+12.2% YoY)
$410 million spent with diverse suppliers and small businesses
Global Parental Leave: minimum 18 weeks at full base pay for primary parent, gender-neutral

Articles

Careers at Baker Hughes

Baker Hughes Projects