Senior Machine Learning Engineer

3 weeks ago

bangalore, India Informatica Full time

Job Description – Senior Machine Learning Engineer


Informatica is on a journey to leverage generative AI to simplify cloud data management. Senior Machine Learning Engineer will build, train, and deploy Models at scale across multiple cloud services providers in a cloud agnostic manner.


Location : Bengaluru (Hybrid)


Responsibilities:

  • Drive design for AI and ML related model pipelines, and services.
  • Collaborate with cross-functional teams, including stakeholders, to identify opportunities for developing end-to-end AI architectures for diverse industry scenarios.
  • Passion for applying state-of-the art AI algorithms to real-world problems.
  • Stay up to date with the latest developments in AI and related fields, evaluate new developments and technologies for potential integration into existing and future architecture.
  • Provide solutions that foster ML Engineer developer productivity.
  • Lead the development and deployment of machine learning models, deep learning algorithms, and other AI/ML techniques. Ensure best practices for model training, testing, and validation are followed.


Requirements:

  • Understand and hands-on experience developing ML models ranging from regression to deep neural networks including LLMs.
  • Experience building and scaling platform-centric infrastructure is desired.
  • Experience working with ML Ops pipelines
  • Familiarity with modern techniques for Language Understanding, and other Machine Learning and AI technologies
  • Work well with local and global team of engineers, researchers, and product managers.
  • Master's degree in computer science, Electrical Engineering or related fields with focus on AI and machine learning.
  • 3-7 years of industry and research experience in Artificial Intelligence and Machine Learning
  • Experience with AWS, Google or Azure is Required
  • Experience and understanding of modern ML pipelines using Kubeflow, KServe, Hugging Face, and similar toolkits.
  • BA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experience
  • Minimum 2+ years of relevant professional experience

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