ML Engineer – San Francisco, CA

ML Engineer

Hi, Hope you are doing great!! NOTE Due to Covid 19 candidate can start Remotely initially for now. Once situation settles then candidate will have to relocate to work onsite at San Jose, CA OR RTP, NC. Title ML Engineer Location San Jose, CA OR RTP, NC Duration 6 Months + Full Time Full TimeContract JOB DESCRIPTION Responsibilities Design and implement end-to-end machine learning pipelines accounting for the variability in data sources and collection policies, data analysis and feature extraction methodologies, modeling frameworks for cloud and edge, and serving infrastructure Use configuration and API management to abstract and automate most manual tasks both pre-modeling and post-deployment Work with data scientists, DevOps, data engineersSMEs from domain to understand how data availability and quality affects model performance Evaluate open source and proprietary technologies and present recommendations to automate machine learning workflows, model training and versioned experimentation, digital feedback and monitoring Build and support ML Pipelines on platforms like TensorFlow Extended (TFX), Kubeflow What you will need BS in Computer ScienceElectrical or Computer Engineering, or has a degree and demonstrated technical abilities in similar areas Comprehensive understanding of ML Technologies with experience in using Pytorch, TensorFlow or other frameworks Strong API-first design experience accounting for security, authenticationauthorization, logging and usage patterns Deep knowledge in API design standards and best practices like SwaggerOpenAPI 3.0, REST, JSON, Async API execution, API Gateways Mandatory hands-on experience with public clouds such as GCP (IaaS PaaS) and its functions Infrastructure and networking knowledge VNet, VPN, DNS, DHCP, Firewalls, Security groups Fluency in SQL, RDBMS, data warehousing concepts and data pipelining Experience with Terraform, Jenkins, CircleCI, Ansible, Chef, etc. Strong programming (Python, Java, Javascript, .NET) and scripting (Bash, Shell, PowerShell) skill set Experience working with message brokers, caches, queues, pubsub concepts API OAuth understanding on how to validate system is working properly using APIs Container experience using technologies such as Kubernetes, Docker, AKS, Openshift, Service Fabric Knowledgeable in the SCRUMAgile development methodology 3+ years of experience with MLOPS, Cloud 1+ years of experience with Data Science Expert in Container technologies like Kubernetes and Docker Expert in building ML based CICD pipelines for production Demonstrated ability to work well in a cross-functional team environment Strong spoken and written communication skills Regards Ajit Rathore InfiCare Technologies 22375 Broderick Drive 225 Dulles VA – Direct mailto

Servicing our clients since 2001 MBE DBE Certified in VA, MD, PA, NJ, NC, CA IT Services Application Development Mobility Solutions

More Information

Apply for this job Apply via Facebook
Share this job

We are one of the largest AI Communities online. Our publications have over 8.5 Million Views Annually and we have over 120K subscribers.