Urgent Need | MLOps Engineer/Machine Learning | Berkeley height, NJ(Onsite) at Berkeley, Illinois, USA |
Email: [email protected] |
Hi There, Trust you are doing great! Kindly go through the below mentioned job description Role: MLOps Engineer Location: Berkeley height, NJ ( Onsite) Duration: Long term contract Job Description: Responsibilities: Must have 12+Years Build, install, configure, manage, and scale state-of-the-art machine learning platform in cloud (Azure preferred) & on-premises powering clients Data & Analytics products and solutions. Work with data scientists, architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in cloud and on-premises to solve complex problems. Creating & maintaining ML/DL pipelines and overall ML/DL workflow orchestration including but not limited to data collection, prep, transform, analyze, experiment, train, validate, serve, monitor, etc. Implement ML/DL solutions addressing performance, scalability, and the governance/ traceability of machine learning models. Iterate quickly through latest technologies, products, frameworks, and R&D on latest information related to ML/DL frameworks, tools & services. Qualifications: Overall 10+ years experience delivering DevOps and MLOps in a Production/Enterprise setting. Excellent written and oral communication and presentation skills. Experienced in a technical role involving platform and infrastructure operation. System administration experience of Unix or Linux systems. Container-based deployment experience using Docker and Kubernetes. Proficient with the machine learning modelling lifecycle and comfortable addressing both functional and technical aspects of model delivery Experience with managing and deployment of large distributed systems like Spark, DASK & H20 and heterogenous platform components. Experienced with programming languages like Python or R and comfortable in understanding statistical foundations of most used ML algorithms. Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc. Preferred hand-on experience IBM Watson Machine Learning systems or related preferred Preferred hands-on experience with HPC Nvidia, CUDA Preferred experience with configuration Management tools like Ansible, puppet Preferred experience in monitoring and performance analysis of Machine Learning platforms using tools like Grafana and Zabbix. www.envisiontechsol.com 10130 Mallard Creek Rd, Charlotte NC, 28262 Name Satya Prakash Designation Technical Recruiter Envision Technology Solutions E: Email [email protected] Office: number 315-275-5700 LinkedIn : linkedin.com/in/satya-prakash-205335238/ -- Keywords: machine learning rlang information technology golang New Jersey North Carolina Urgent Need | MLOps Engineer/Machine Learning | Berkeley height, NJ(Onsite) [email protected] |
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Fri Mar 29 08:54:00 UTC 2024 |