Artificial Intelligence Engineer

22 hours ago

Karnataka India, 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 DoLead the design, development, and deployment of machine learning models into scalable, production environmentsBuild robust, testable ML pipelines and APIs using strong software design principlesCollaborate 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 automationDesign data pipelines for model training, inference, and performance trackingWork with cross-functional teams to integrate ML into core productsStay current with ML advancements and propose practical innovations✅ What We're Looking For4-9+ years of hands-on experience in ML engineering or related rolesStrong Python programming skills; exposure to other languages like Java, C++, or Go is a plusSolid understanding of software design patterns, algorithms, and distributed systemsExperience with ML frameworks like PyTorch or Scikit-learnSkilled in feature engineering, model evaluation, and performance tuningFamiliar with SQL/NoSQL databases and big data handlingStrong communication skills and the ability to simplify technical topics Preferred QualificationsMaster’s or PhD in Computer Science, Data Science, or a related fieldExperience with tools like Spark, Kafka, or HadoopExposure to A/B testing and experimentation frameworksContributions to open-source or a strong personal project portfolioUnderstanding of ML model governance, bias mitigation, and privacy standards

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