Machine Learning Dev Ops Job in Valuelabs

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