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Date:
Dec 16, 2025
Location:
Pune, MH, IN
Company:
HMHHMH 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 www.hmhco.comWe are seeking a visionary and experienced Director Software Engineering - AL/ML to lead the development and deployment of scalable, production-grade AI solutions that drive analytics, automation, and intelligent decision-making across the organization. This leadership role will oversee a team of AI engineers and collaborate cross-functionally to architect and implement cutting-edge machine learning, generative AI, and data-driven systems that power our enterprise platforms.Key Responsibilities
Strategic Leadership & Vision
- Define and drive the AI engineering strategy aligned with organizational goals.
- Lead the roadmap for AI initiatives, ensuring alignment with business priorities and technology trends.
- Evangelize AI capabilities across the organization and foster a culture of innovation and experimentation.
- Team Management & Mentorship
- Build, lead, and mentor a high-performing team of AI engineers and researchers.
- Establish best practices for model development and lifecycle management.
- Promote continuous learning and professional development within the team.
AI Architecture & Model Development
- Oversee the design, training, and deployment of machine learning and deep learning models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
- Guide the implementation and fine-tuning of large language models (LLMs) using tools like LangChain, RAG, and vector databases.
- Ensure scalability, performance, and reliability of AI systems in production environments.
Cross-Functional Collaboration
- Partner with data engineering, product, and business teams to integrate AI solutions into enterprise applications and workflows.
- Drive the development of APIs and microservices for seamless AI integration.
Governance, Ethics & Compliance
- Champion responsible AI practices, ensuring compliance with enterprise security, data governance, and ethical standards.
- Establish frameworks for model monitoring, retraining, and performance optimization.
Skills & Qualifications
- 15+ years of experience in AI/ML engineering, with at least 3-5 years in a leadership role.
- Proven track record of delivering enterprise-grade AI solutions at scale.
- Deep expertise in Python and AI frameworks (TensorFlow, PyTorch).
- Strong understanding of LLMs, NLP, computer vision, and generative AI technologies.
- Experience with cloud platforms (AWS, Azure, GCP) and containerization tools.
- Excellent communication, stakeholder management, and strategic thinking skills.
Preferred Experience
- Experience in educational technology or enterprise data environments.
- Familiarity with integrating AI into transactional systems and data warehouses.
- Knowledge of data governance framework
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 https://careers.hmhco.com/. Follow us on Twitter, Facebook, LinkedIn, and YouTube.
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