back to top

Job Description

Machine Learning Dev Ops

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

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

Responsibilities
  • 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
Requirements
  • 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
Apply




By continuing to use the site, you agree to the use of cookies. more information

The cookie settings on this website are set to "allow cookies" to give you the best browsing experience possible. If you continue to use this website without changing your cookie settings or you click "Accept" below then you are consenting to this.

Close