HMH
Sr Machine Learning Engineer
🇮🇳 Pune, Maharashtra
🕑 Full-Time
💰 TBD
💻 Software Engineering
🗓️ November 9th, 2025
Edtech.com's Summary
- Develop, train, validate, deploy, and monitor machine learning models using Python and ML frameworks like TensorFlow and PyTorch.
- Collaborate with data engineers to prepare and transform data for modeling.
- Design and implement robust feature pipelines for improved model accuracy and efficiency.
- Work closely with analysts, product teams, and stakeholders to translate business needs into ML solutions.
- Ensure adherence to data privacy, security, and ethical AI compliance standards.
- Maintain documentation and provide ongoing support for production ML systems.
- Required proficiency in Python, ML libraries (scikit-learn, TensorFlow, PyTorch), and cloud platforms such as AWS or Azure.
- Experience with containerization tools like Docker and Kubernetes, and familiarity with version control, CI/CD, and MLOps practices.
- 5 to 8 years of experience in machine learning or applied data science roles.
- Preferred experience includes NLP, computer vision, time-series modeling, enterprise ML integration, and ed-tech or large-scale analytics environments.
Sr Machine Learning Engineer Full Description
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 www.hmhco.com
We are seeking a mid-level Machine Learning Engineer to join our Data Science, Reporting & Analytics team. This role will focus on designing, developing, and deploying ML models that drive insights and automation across enterprise platforms. The ideal candidate will have strong algorithmic thinking, hands-on experience with ML frameworks, and a collaborative mindset to work closely with data scientists and engineers.
Key Responsibilities
- Model Development: Build, train, and validate machine learning models using Python, TensorFlow, PyTorch, or similar frameworks.
- Data Preparation: Collaborate with data engineers to source, clean, and transform data for modeling purposes.
- Deployment & Monitoring: Package models for deployment using MLOps tools; monitor performance and retrain as needed.
- Feature Engineering: Design and implement robust feature pipelines to improve model accuracy and efficiency.
- Collaboration: Work closely with analysts, product teams, and business stakeholders to translate requirements into ML solutions.
- Governance & Compliance: Ensure models adhere to data privacy, security, and ethical AI standards.
- Documentation & Support: Maintain model documentation and provide support for production ML workflows.
Skills & Qualifications
- 5-8 years of experience in machine learning or applied data science roles.
- Proficiency in Python and ML libraries (scikit-learn, TensorFlow, PyTorch).
- Experience with cloud platforms (AWS, Azure) and containerization (Docker, Kubernetes).
- Strong understanding of statistics, model evaluation, and optimization techniques.
- Familiarity with version control, CI/CD, and MLOps practices.
Excellent problem-solving and communication skills.
Preferred Experience
- Exposure to NLP, computer vision, or time-series modeling.
- Experience integrating ML models into enterprise applications or data platforms.
- Prior work in ed-tech or large-scale analytics environments is a plus.
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.
