Artificial Intelligence Engineer

4 weeks ago

Mangalore, India Selections HR Services Private Limited Full time

We're Hiring | 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 you’ll 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

  • Master’s 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

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