AI/ML IOT engineer - SQA

HTC Global Services, Inc.; Hyderabad; On-site; INR 1,200,000 - 1,800,000; Full time

Benefits offered by this job

Hybrid work

Work-life balance

Career development plan

Recognition program

L&D focuses on upskilling

Emerging technologies exposure

Career mobility

Job summary

HTC Global Services is seeking an AI/ML IoT QA engineer with 5+ years of relevant industry experience to join our hybrid team in Hyderabad. The role focuses on testing ML/DL models and IoT edge devices within our platform.

You will design automated test frameworks, validate model accuracy, and collaborate with ML developers and DevOps to integrate validation into CI/CD pipelines.

Qualifications

• 5+ years of relevant industry experience.
• Experience with ML frameworks such as TensorFlow, PyTorch, scikit-learn.
• Design and implement automated test frameworks for ML/DL systems.
• Familiarity with DevOps tools like Docker, Kubernetes, Jenkins, GitLab CI.
• Knowledge of MLOps practices, including model versioning and deployment workflows.
• Understanding NLP and Tiny LLMs is a plus.

Responsibilities

• Develop and execute test strategies for machine learning, deep learning, and Tiny LLM models running on IoT edge devices.
• Validate model accuracy, robustness, and scalability under real-world IoT data conditions.
• Design automated frameworks to test data pipelines, feature extraction, inference performance, and edge/cloud integration.
• Ensure seamless integration of ML/DL modules into the IoT platform software stack (firmware, middleware, connectivity, and cloud APIs).
• Collaborate with ML developers to ensure models meet production-grade quality standards.
• Work with DevOps engineers to integrate ML model validation into CI/CD workflows.

Skills

ML/AI testing frameworks

DevOps tools

ML frameworks

MLOps practices

NLP/Tiny LLMs knowledge

Tools

Docker

Kubernetes

Jenkins

GitLab CI

Job description

Location: Hyderabad (TG) | Employment Type: Full Time - 40 hours per week | Job Level: T3 | Work Preference: Hybrid | Job Code: 244459

Job Description:

About the Role:

We are looking fora highly skilled AI/ML IOT engineer - SQA with 5+ Years of relevant industry experience.

Key Responsibilities

• Develop and execute test strategies for machine learning, deep learning, and Tiny LLM models running on IoT edge devices.
• Validate model accuracy, robustness, and scalability under real-world IoT data conditions.
• Design automated frameworks to test data pipelines, feature extraction, inference performance, and edge/cloud integration.
• Ensure seamless integration of ML/DL modules into the IoT platform software stack (firmware, middleware, connectivity, and cloud APIs).
• Collaborate with ML developers to ensure models meet production-grade quality standards.
• Work with DevOps engineers to integrate ML model validation into CI/CD workflows.

Requirements

• Strong understanding of machine learning frameworks such asTensorFlow, PyTorch, scikit-learn.
• Experience in designing and executing automated test frameworks for ML/DL systems.
• Familiarity with DevOps tools likeDocker, Kubernetes, Jenkins, GitLab CI.
• Knowledge ofMLOps practices, including model versioning and deployment workflows.
• Understanding ofnatural language processingand Tiny LLMs is a plus.

At HTC Global Services, our culture is an embodiment of who we are – a value-led organizationcommitted to success of our people and customers.

• Hybrid and Workplace flexibility
• Work-Life-Balance
• Well-defined career development plan
• Rewards & Recognition program
• L&D focuses on upskilling
• Hands-on experience on Emerging Technologies and Digital Transformation
• Career Mobility programs

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