Roles and Responsibilities:

Technical Leadership
Architect, design, and implement scalable machine learning systems for optimized content delivery, connectivity, and personalization.
Lead decision-making for ML infrastructure, cloud-based data pipelines, and deployment strategies.
Define best practices for ML system design, versioning, and continuous integration.

ML Model Development
Build, train, and deploy predictive and generative models using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
Optimize model performance for scalability, latency, and resource efficiency.
Collaborate with data scientists and engineers to integrate models into production settings.

Innovation & Research




Explore emerging ML technologies and frameworks to enhance system performance.
Evaluate current algorithms, architectures, and deployment techniques for business impact.

Cross-functional Collaboration
Work closely with product, data, and engineering teams to align ML initiatives with organizational goals.
Provide technical mentorship and guidance to junior ML engineers.

Monitoring & Optimization
Establish robust monitoring, validation, and retraining workflows for deployed models.
Ensure model explainability, reproducibility, and compliance with data governance standards.

📌 Machine Learning Engineer I/ii Pune
🏢 Panasonic
📍 Pune