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bangalore, India EdgeVerve Full timeJob Title: Senior Machine Learning EngineerExperience: 4Yrs to 9YrsLocation: BangaloreKey Responsibilities:Machine Learning Model Development: Research, design, and implement advanced machine learning algorithms and models to address business challenges.Data Engineering: Extract, transform, and load (ETL) large datasets from various sources into a Postgres...
Senior Machine Learning Engineer
1 month ago
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 DevelopmentLocation : 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 pipelinesFamiliarity with modern techniques for Language Understanding, and other Machine Learning and AI technologiesWork 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 LearningExperience with AWS, Google or Azure is RequiredExperience 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 experienceMinimum 2+ years of relevant professional experienceBA/BS or equivalent educational background, we will consider an equivalent combination of relevant education and experienceMinimum 2+ years of relevant professional experience
