Quality Engineer

Quality Engineer

Location:
Maharashtra, India
Salary:
Competitive
Type:
Permanent
Main Industry:
Search Education & Training Jobs
Other Industries & Skills: 
Advertising, Marketing & PR
Advertiser:
Houghton Mifflin Harcourt
Job ID:
132230997
Company: 
HMH
Posted On: 
02 September 2025
HMH is a learning technology company committed to delivering connected solutions that engage learners, empower educators and improve student outcomes. As a leading provider of K–12 core curriculum, supplemental and intervention solutions, and professional learning services, HMH partners with educators and school districts to uncover solutions that unlock students’ potential and extend teachers’ capabilities.

HMH serves more than 50 million students and 4 million educators in 150 countries. HMH Technology India Pvt. Ltd. is our technology and innovation arm in India focused on developing novel products and solutions using cutting-edge technology to better serve our clients globally. HMH aims to help employees grow as people, and not just as professionals. For more information, visit hmhco

About the Role:

We are seeking a highly skilled AI Developer with expertise in Deep Learning, and Generative AI to design, build, and deploy scalable AI solutions. The role involves working on image/video processing, NLP, multi-agent systems, and enterprise-grade automation workflows. The ideal candidate is passionate about research-driven development and creating high-impact AI tools for real-world applications.

Key Responsibilities

type="disc"-
-Research, design, and develop deep learning models for computer vision, image enhancement, background removal, object detection, OCR, and visual automation.
-Fine-tune transformer and generative AI models (LLMs, GANs, Diffusion models) for domain-specific applications.
-Deploy AI solutions on AWS cloud (EC2, S3, Lambda) with scalable and production-ready pipelines.
-Develop Dockerized microservices for smooth integration into enterprise workflows.
-Experiment with emerging AI frameworks (Hugging Face, LangGraph, CrewAI, AutoGen, OpenAI SDK) to build innovative prototypes.
-Collaborate with cross-functional teams to integrate AI solutions into production systems.
-Conduct research experiments, document findings, and continuously improve model performance.
-Build automation systems for visual and language content workflows in enterprise settings.
 

Required Skills & Expertise

type="disc"-
-Strong programming skills in Python, OpenCV, PyTorch, TensorFlow, Keras, Scikit-Learn, Numpy.
-Experience with computer vision techniques (YOLO, OCR, background expansion, image restoration).
-Knowledge of NLP, LLMs, agentic AI frameworks, and generative models.
-Hands-on expertise with GANs, Stable Diffusion, Autoencoders.
-Cloud & DevOps: AWS, Docker, CI/CD, scalable deployments.
-Strong foundation in mathematics, probability, and statistics.
-Ability to research and implement cutting-edge AI solutions for enterprise-grade use cases.
 

Qualifications

type="disc"-
-Bachelor’s Degree in Electronics Engineering.
-Post Graduate Program in Data Science & Data Analytics.
-4+ years of professional experience in AI, ML, and Computer Vision projects across global clients.
 

Nice-to-Have

type="disc"-
-Experience with educational AI tools (OCR for math equations, chemistry parsers, automated grading systems).
-Prior work on visual automation for enterprise creative workflows.
-Familiarity with multi-agent AI frameworks for task automation.
HMH Technology Private Limited is an Equal Opportunity Employer and considers applicants for all positions without regard to race, colour, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. We are committed to creating a dynamic work environment that values diversity and inclusion, respect and integrity, customer focus, and innovation. For more information, visit careers.hmhco/. Follow us on Twitter, Facebook, LinkedIn, and YouTube.

Apply:

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