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 K12 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.

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 robust 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
- 58 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.

📌 Senior Machine Learning Engineer (Mumbai)
🏢 HMH Technology Private
📍 Mumbai