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Senior Machine Learning Engineer

3 months ago

bangalore, India Informatica Full time

External Description:

Build Your Career at Informatica

We're looking for a diverse group of collaborators who believe data has the power to improve society. Adventurous, work-from-anywhere minds who value solving some of the world's most challenging problems. Here, employees are encouraged to push their boldest ideas forward, united by a passion to create a world where data improves the quality of life for people and businesses everywhere.

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.

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

Perks & Benefits

Comprehensive health, vision, and wellness benefits (Paid parental leave, adoption benefits, life insurance, disability insurance and k plan or international pension/retirement plans Flexible time-off policy and hybrid working practices Tuition reimbursement program to support your and personal growth Equity opportunities and an employee stock purchase program (ESPP) Comprehensive Mental Health and Employee Assistance Program (EAP) benefit