ML Ops Engineer position in Berkeley Heights, NJ, New Jersey, USA

Job Title – ML Ops Engineer
Location: Berkeley Heights, NJ – 100% Onsite

 
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 client’s 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 client’s 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.

Rd Digital Solutions provides comprehensive staffing solutions for all our clients’ Information Technology needs.  Using focused search strategies and an extensive database of experienced professionals, our team is uniquely positioned to source optimal candidates. The RD Staffing Difference is that we are unparalleled in our ability to assess and match talent. Our staff has worked intimately with corporations and technology professionals to understand the increasingly specialized roles within the workplace. At RD Staffing, we appreciate that the right candidate is comprised of both technical and soft skills that will match both the IT environment and organizational culture.  We are dedicated to aligning employee career paths to the evolution and goals of our client companies.