Machine Learning Engineer

Job Title : ML Data Scientist

Qualifications, skills, and all relevant experience needed for this role can be found in the full description below.

Location : Berkeley Heights, NJ - 100% onsite

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 modeling lifecycle and comfortable addressing both functional and technical aspects of model delivery
• Experience managing and deploying large distributed systems like Spark, DASK & H20, and heterogeneous 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 with 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

Responsibilities

• Build, install, configure, manage, and scale state-of-the-art machine learning platform in the cloud (Azure preferred) and on-premises powering client’s Data and 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 and 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

Company information

Apexon is a digital-first technology services firm specializing in accelerating business transformation and delivering human-centric digital experiences.

For over 17 years, Apexon has been meeting customers wherever they are in the digital lifecycle and helping them outperform their competition through speed and innovation.

Our reputation is built on a comprehensive suite of engineering services, a dedication to solving our clients’ toughest technology problems, and a commitment to continuous improvement.

We focus on three broad areas of digital services : User Experience (UI / UX, Commerce); Engineering (QE / Automation, Cloud, Product / Platform);

and Data (Foundation, Analytics, and AI / ML), and have deep expertise in BFSI, healthcare, and life sciences. Apexon is backed by Goldman Sachs Asset Management and Everstone Capital.

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