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Job Description

Machine Learning Dev Ops

Expires on: September, 20 2020
Job Code: VL/MS/1208/D/123
Experience: 5+ Years
Location: Hyderabad

We are looking for an engineer who has experience in Machine Learning DevOps

  • Translate application storyboards and use cases into functional applications
  • Design, build, and maintain efficient, reusable, and reliable code
  • Develop and refine coding standards, methodologies and sustainable processes
  • Deliver unit tested code to quality team with necessary information to facilitate automated testing
  • Work with various departments to provide technical assistance during design phase of client projects
  • Deploy scalable Machine Learning and CNN based Computer Vision algorithms on local and multi cloud-based inferencing platforms
  • Designing and deploying models at scale using automated pipelines
  • Convert Python based ML scripts to production quality level applications
  • Test applications for stability, resilience, HA and scale them to serve thousands of inferences on a daily basis
  • Work closely with data Engineers, developers and Machine Learning engineering peers to integrate ML/AI models and applications with existing suite of APD smart products
  • Be approachable, a team player and ready to assist SRE & DevOps to build pipelines that need minimal operational maintenance
  • If needed, be ready to independently learn new technologies and able to prioritize tasks and take ownership
  • Ability to communicate and meaningfully present results of analyses in a clear and impactful manner
  • Knowledge of validated approaches for scale-ability, productionalizing AI/ML models and implementing machine learning applied to expansive and diverse datasets (storage GPUs/TPUs, techniques for deep learning at scale)
  • Deployment of Machine Learning and Deep Learning algorithms on cloud based services (AWS Sage maker, GCP MLE, Digital Ocean, etc.)
  • Expertise in configuration management systems CI/CD (Docker, Kubernetes, etc.)
  • Programming experience with Python (and ML packages) and either Javascript, C/C++ or related Version control (Git, Jenkins), Unix Shell scripting
  • Experience or familiar with serverless architecture/ paradigm in cloud stack
  • Experience with Image Analysis/Computer Vision is a plus
  • Experience with Swift, Objective-C, Cocoa, Cocoa Touch, and/or CoreML
  • Networking concepts and protocols, e.g.: TCP/IP, HTTP, etc
  • Knowledge or familiarity of ML algorithms (deep learning, classification, TensorFlow etc
  • Preferred knowledge of Python libraries such as Scikit-learn, SciPy, Spacy, and NLTK

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