Senior ML Engineer

17 hours ago

Chennai, Tamil Nadu, India Ford Motor Full time ₹ 12,00,000 - ₹ 36,00,000 per year
Description

Data Platform Engineering  Team is responsible for Building Data platfrom for enterprise  The ML 
enablement team has a combination of data engineers, machine learning engineers (MLEs). MLEs would 
be supposed to implement sophisticated machine learning models that can transform DPE. 

Responsibilities


• Build Deep learning models to understand and derive insights from data (Multi-modal - text, image, audio, etc.) 

• Develop custom transformer architectures to solve business problems. 

• Understand business needs and come up with an appropriate solution architecture for the use-case 

• Ensure deployment of ML models into production by working closely with data engineers / ML-Ops engineers. 

• Use of test-driven Development and code pairing practices (version control). 

• Collaborate with other product teams on integrations, testing and deployments..

Qualifications


• 4 – 7 years of overall experience in machine learning with proven experience in deep learning model training and deployment 

• 2+ Years of strong hands-on experience in PyTorch, Hugging face and good understanding of optimizers, learning rate schedulers, etc. Experience in distributed GPU compute is preferable. 

• 4+ years of hands-on experience with Python programming language. 

• Ability to work well in a collaborative, agile development team with business and development partners. 

• Strong team player who is willing to learn, share, teach and lead depending on the situation. 

• Excellent problem-solving and communication skills 

• Good to have 

• Continuously integrate and deploy developed software; modify CI/CD pipeline and scripts as necessary to improve continuous integration practices (Terraform). 

• Experience in Google Cloud Platform (GCS, Big Query, Cloud Run, Cloud Build, Pub/Sub)


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