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Senior Machine Learning Engineer - Deep Learning

Senior Machine Learning Engineer - Deep Learning

Selections HR ServicesBangalore
30+ days ago
Job description

Senior Machine Learning Engineer Applied AI | Bangalore (FANG hiring)

Are you passionate about building scalable, intelligent systems that solve real-world problems?

Do you enjoy transforming cutting-edge machine learning research into production-ready solutions?

We are hiring a Senior Machine Learning Engineer for our Applied AI team based in Bangalore.

This is a high-impact role where youll work at the intersection of software engineering and data science to bring AI solutions to life.

What You'll Do :

  • Lead the design, development, and deployment of machine learning models into scalable, production environments.
  • Build robust, testable ML pipelines and APIs using strong software design principles.
  • Collaborate with data scientists to develop and optimize models (supervised, deep learning, RL, etc.
  • Implement MLOps best practices : CI / CD for ML, model versioning, monitoring, and automation.
  • Design data pipelines for model training, inference, and performance tracking.
  • Work with cross-functional teams to integrate ML into core products.
  • Stay current with ML advancements and propose practical innovations.

What We're Looking For :

  • 4-9+ years of hands-on experience in ML engineering or related roles.
  • Strong Python programming skills; exposure to other languages like Java, C++, or Go is a plus.
  • Solid understanding of software design patterns, algorithms, and distributed systems.
  • Experience with ML frameworks like PyTorch or Scikit-learn.
  • Skilled in feature engineering, model evaluation, and performance tuning.
  • Familiar with SQL / NoSQL databases and big data handling.
  • Strong communication skills and the ability to simplify technical topics.
  • Preferred Qualifications :

  • Masters or PhD in Computer Science, Data Science, or a related field.
  • Experience with tools like Spark, Kafka, or Hadoop.
  • Exposure to A / B testing and experimentation frameworks.
  • Contributions to open-source or a strong personal project portfolio.
  • Understanding of ML model governance, bias mitigation, and privacy standards.
  • (ref : hirist.tech)

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    Senior Machine Learning Engineer • Bangalore