- 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.
Machine Learning Engineer - Berkeley Heights, United States - Prodware Solutions
Description
We have a Hybrid opportunity for a Machine Learning Engineer with our client in Berkeley Heights, NJ.
Require someone to be onsite 3 days in a week.
Need someone with 10+ Years of work experience.
Someone with delivering DevOps and MLOps
Job Description:
Summary:
Machine Learning Data Scientist 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 and services in cloud and on -premises for clients data & analytics organization.
Role will expose the candidate to cutting edge technologies related to ML/DL and the ideal candidate will be driven, focused, and enthusiastic about learning and implementing new technologies.
Qualifications: