| ML Ops Engineer for contact at Berkeley Heights, NJ(Fully onsite) at Berkeley, Illinois, USA |
| Email: [email protected] |
| From: Richardson, VBeyond Corporation [email protected] Reply to: [email protected] Greetings from VBEYOND, I hope you are doing well; I am Richardson from VBeyond Corporation. We are a Global Recruitment company with a specialization in hiring IT professionals. One of our clients has Multiple Job Openings for a ML Ops Engineer for contact at Berkeley Heights, NJ(Fully onsite). If you are interested, kindly send me your updated resume, contact details, and a convenient time to talk to you. If you feel this requirement is not suitable for you, kindly share the same with your circle or Reply REMOVE. Job Title - ML Ops Engineer Location: Berkeley Heights, NJ(Fully onsite) Type:- Contract Mandatory Skills :- ML Ops, ML Flow, Python, Kubernetes , Dockers Job Description Summary: MLOps to build & support scalable, highly available and robust Machine Learning (ML) /Deep Learning (DL) platform using ML/DL frameworks, High-Performance Computing (HPC) machines, Data Science tools, products & services in cloud and on-premises for clients data & analytics organization. Role will expose you to cutting edge technologies related to ML/DL and the ideal candidate will be driven, focused and enthusiastic about learning new technologies and implementing them. Responsibilities: 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 7+ 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. Thanks and Regards, Richardson R VBeyond Corporation || PARTNERING FOR GROWTH Hillsborough, New Jersey, USA Email ID: [email protected] Website: www.vbeyond.com LinkedIn: linkedin.com/in/richardson-rajamani-5147a6183 Keywords: machine learning access management rlang information technology Idaho New Jersey ML Ops Engineer for contact at Berkeley Heights, NJ(Fully onsite) [email protected] |
| [email protected] View all |
| Wed Mar 27 00:32:00 UTC 2024 |