| 100% Onsite role ML Data Scientist in Berkley Heights, NJ looking for Locals at Berkley, Michigan, USA |
| Email: [email protected] |
| From: Myvizhi Sekar, VDartINC [email protected] Reply to: [email protected] ML Data Scientist/Ops Engineer Contract Berkley Heights, NJ (100% Onsite) Mandatory Skills: Need 10+ years candidates having experience with Supervised/ Unsupervised Algorithm. Job Description Summary : Machine Learning Ops Engineer to build & support scalable, highly available, and robust Machine Learning (ML) /Deep Learning (DL) platforms using ML/DL frameworks, High-Performance Computing (HPC) machines, Data Science tools, products & services in the cloud and on-premises for clients data & analytics organization. The 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 the cloud (Azure preferred) & on-premises powering client's Data & Analytics products and solutions. Work with data scientists, architects, DevOps engineers, and vendors to implement scalable ML/DL solutions in the 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 the latest technologies, products, frameworks, and R&D on the latest information related to ML/DL frameworks, tools & services. Qualifications: 4+ years experience delivering DevOps and MLOps in a Production/Enterprise setting Bachelors degree required; Masters preferred in Computer Science or Data Science 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 modeling lifecycle and comfortable addressing both functional and technical aspects of model delivery Experience with managing, and deploying large distributed systems like Spark, DASK & H20, and heterogenous platform components. Experienced with programming languages like Python or R and comfortable in understanding the statistical foundations of most used ML algorithms. Experienced with Machine Learning frameworks: Sci-kit, Keras, Theano, TensorFlow, SparkMlib, etc. Preferred hands-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. Regards Myvizhi Sekar Associate Team Lead VDart Inc Keywords: machine learning rlang New Jersey |
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| Wed Jan 17 22:54:00 UTC 2024 |