Senior Ml Ops Engineer

New Era Technology is a global technology solutions provider with 4,500+ employees and offices around the world. New Era offers Cloud, Managed, Professional, and Security services, and delivers Collaboration, Data Networking, Digital Transformation, and Physical & Life Safety solutions to more than 14,500 customers worldwide.

We are looking for team members to contribute to and deliver our mission: “To deliver and support technology solutions that securely connect people, places, and information.” New Era Technology is a community of like-minded, like-hearted people who share the same vision and values.

Work alongside the finest team of highly skilled and industry-certified professionals who are encouraged to drive change and think outside of the box. As a team member, you will receive competitive benefits, industry training, and certifications. New Era Technology empowers businesses to embrace the future workplace.

As customers shift their perspectives on where and how work happens, we are there to meet them with flexible, resilient, and productive solutions.

New Era Technology provides a team-oriented culture, a positive environment filled with an incredible staff, and a genuine passion for providing the best service to our customers worldwide. We believe that investing in our employees is the key to professional growth, delivering exceptional experiences for our customers, and setting the standard for excellence in our field.

We offer a growth-orientated, high-tech environment for employees. Along with our many benefits, you can expect a corporate culture that promotes personal and professional development. Our customer-focused teams are built on our core values: Community, Integrity, Agile, and Committed.

ML Ops Engineer:

MLOps engineer deploy, manage, and optimize machine learning models in production environments, ensuring smooth integration and efficient operations. MLOps Engineer enables the successful operation of the model once the Data science team has built the model.

Responsibilities:

• Collaborate and communicate effectively with team members, business stakeholders, and corporate technical resources
• Ability to work on your own and with the team.
• Investigating new technologies that meet corporate standards to enhance the team
• Deploys and manages AI/ML models in production
• Automating AI/ML model deployment
• Setting up monitoring for the AI/ML pipeline
• Automating scalable CI/CD pipelines to account for data, code, and model changes
• Setting up automated model retraining
• Deciding on the level of automation required
• Provides best practices and running proof-of-concepts for automated and efficient model operations on a large scale.
• Maintaining the infrastructure that supports the models and algorithms.
• Agile development with sprints lasting 2-3 weeks
• Performs other duties as assigned.

Skillset & Competencies

• Proven experience as a ML Ops Engineer or similar role
• Understanding of data structures, data modeling and software architecture
• Ability to design and implement cloud solutions.
• Ability to write robust code in Python, Java and R
• Ability to write Linux/Unix Shell Scripting
• Experience working with Containers and Kubernetes
• High level knowledge of frameworks such as Keras, PyTorch, Tensorflow
• Ability to build MLOps pipelines including CI/CD/CT Configuration management, Containers & Infrastructure Orchestration.
• Experience with software development & have programming Skills.
• Experience in using MLOps frameworks like MLFlow.
• Working knowledge of orchestrating end to end ML pipelines.
• Deep Understanding of Azure, Private Networking, MLStudio and its subcomponents, OpenAI, Github Actions, and Azure DevOps.
• Understanding of typical data storage technologies and methodologies (ex: MPP and NoSQL databases, Queue based technologies, API's)
• Excellent communication skills
• Ability to work in a team
• Outstanding analytical and problem-solving skills