Senior Machine Learning Engineer

2 weeks ago

bangalore, India Informatica Full time
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.
You will be reporting to Senior Manager ML Development
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
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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