Machine Learning Engineer- I/II Job in Pune at Panasonic

Panasonic is hiring for the role of Machine Learning Engineer!

Responsibilities of the Candidate:

• Technical Leadership:
  • Architect, design, and implement scalable ML systems for optimized content delivery, connectivity, and personalization.
  • Lead decision-making for ML infrastructure, cloud pipelines, and deployment strategies.
• ML Model Development:
  • Build and deploy predictive and generative models using TensorFlow, PyTorch, and other frameworks.
  • Apply GenAI techniques (LLMs, RAG-based retrieval, embeddings, fine-tuning) to deliver personalized in-flight experiences.
• Infrastructure & Deployment:
  • Develop cloud-native ML pipelines (AWS/Azure/GCP) with CI/CD integration.
  • Ensure scalable, secure, and efficient deployment of ML solutions.
• Research & Innovation:
  • Stay at the forefront of ML and GenAI advancements, evaluating applicability to IFEC use cases.
  • Contribute to white papers, PoCs, and technical publications.
• Collaboration & Mentorship:
  • Partner with data scientists, engineers, and product managers to translate business needs into ML-driven solutions.
  • Mentor and guide junior engineers in ML best practices and GenAI applications.
• Performance Optimization:
  • Continuously monitor and refine ML models for latency, scalability, and accuracy improvements.
  • Leverage observability and monitoring tools for ongoing optimization.

Requirements:

• Experience: 2-4 years in ML engineering and software development (aerospace/tech industry preferred).
• Programming: Strong in Python and Java.
• Strong Data Science experience
• ML Frameworks: Hands-on with TensorFlow, PyTorch, Hugging Face Transformers.
• GenAI Expertise: Proven experience in LLMs, RAG (Retrieval-Augmented Generation), embeddings, fine-tuning, and prompt engineering.
• Cloud & Deployment: Proficiency in AWS, Azure, or GCP for ML model lifecycle management.
• Problem-Solving: Strong analytical, architectural, and technical documentation skills.
• Education: Bachelor’s/Master’s degree in Computer Science, Data Science, or related fields.