Baker Hughes | is Hiring | Senior Staff Data Scientist-Computer Vision | BigDataKB.com | 2022-04-05

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Job Location: Bangalore/Bengaluru

You be part of a data science or cross-disciplinary team, working in concert with partners in Baker Hughes. Potential application areas include Computer Vision based Automatic Defect Recognition (ADR) across NDT (Non Destructive Testing) industrial sectors. You will lead engagements with internal/external customers and develop analytics within defined business objectives to address customer needs and opportunities.

As a Senior Staff Data Scientist, you will be responsible for:

  • Working with business stakeholders to understand the business problem/requirements and helping define analytic objectives
  • Building or selecting the state of art machine learning or computer vision models according to the industry use case. Develop reusable components that can be applied to similar problems across the industry
  • Having experience in the development of advanced computer vision solutions for the detection of defects in industrial inspection images (Visual or CT/Xray images).
  • Implementing computer vision techniques in image classification, object detection, segmentation, etc. using frameworks like TensorFlow PyTorch
  • Building a good knowledge around AWS Cloud services and the cloud ecosystem to meet functional and non-functional requirements
  • Having the ability to deploy machine or deep learning solutions into production (Edge or cloud environment)

Fuel your passion

To be successful in this role you will:

  • Have a Bachelor/Masters/Phd in Computer Science or STEM Majors (Science, Technology, Engineering, and Math) with 10+ years of overall experience.
  • Have minimum 10+ years of experience with machine learning, computer vision algorithms, and framework to solve object detection, recognition, tracking, segmentation, etc.
  • Have minimum 5+ years of experience with deploying ML models in the cloud environment
  • Have hands-on experience on deep learning machine learning libraries Tensorflow, Pytorch, Keras, sklearn, OpenCV, etc. and AWS services
  • Have Solid programming skills with Python and/or non-scripting languages
  • Have hands-on experience with following AWS Cloud services: Compute (EC2,EBS, Lambda), Containers (ECS, ECR,EKS), Database (Document DB, Dynamo DB, RDS), Machine Learning (AWS Sage Maker), Storage (S3, Storage Gateway), Kubernetes
  • Have experience in scaling the deployments using docker and kubernetes.
  • Have prior experience working with NDT inspection (CT/Xray image) data is a plus

Apply Here

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