Sr Machine Learning Engineer

2 days ago

Pune, Maharashtra, India HMH Technology Private Limited Full time ₹ 6,00,000 - ₹ 18,00,000 per year

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.

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