Azure ML Ops Engineer

Centric Consulting

Centric Consulting

Software Engineering, Operations, Data Science
Posted on Saturday, May 18, 2024

Azure ML Ops Engineer

Job Location: United States, Remote

Join our team

Centric Consulting is an international management consulting firm with expertise in digital, business and technology. We are looking for an Azure ML Ops Engineer to join our growing team. The ideal candidate will be adept in Azure technologies with a strong foundation in coding skills, particularly in Python and with experience in Azure Machine Learning (AzureML) services. While we are open to offshore candidates, we are also interested in exploring onshore options. This role will be crucial to develop, manage, and deploy machine learning models effectively within our systems.

What We Offer?

We offer benefits to support your physical, emotional, mental and financial health:

  • Built For Families. Parental leave and flexible remote working options.
  • Care For You and Yours. Flexible health care options for you, your family and your pets. Plus, long-term disability, 401(k) benefits and more!

Want to know why you should work with us and what we offer employees? Visit our website to learn more.

In this role, you will:

  • Design and implement machine learning solutions using AzureML to support various business needs.
  • Develop, configure, and maintain Azure pipelines for continuous integration and continuous delivery (CI/CD) of machine learning models.
  • Work with Python and YAML to script and automate tasks within the Azure environment.
  • Deploy and monitor scalable machine learning models in production environments.
  • Collaborate with data scientists and engineers in the development of ML models and ensure their seamless integration with Azure services.
  • Leverage Azure Data Factory (ADF) when necessary to aid in the orchestration of data flow and ETL processes.
  • Provide expertise and guidance in best practices for ML Ops within Azure.
  • Diagnose and resolve any issues related to model deployment and operationalization.

Who you are:

  • Strong proficiency in Azure cloud services, with a focus on Azure ML and related Azure services.
  • Excellent coding skills in Python
  • Experience in YAML scripting.
  • Proven experience with model deployment and operationalization strategies.
  • Knowledge of building and managing CI/CD pipelines.
  • Familiarity with Azure Data Factory and its role in data orchestration is beneficial.
  • Ability to work both independently and as part of a team, with a proactive attitude and the ability to take initiative.
  • Strong problem-solving skills and the ability to work under tight deadlines.
  • Good communication and collaboration skills.
  • Relevant Azure certifications are a plus

About Centric Consulting:

Founded in 1999 with a remote workforce, we combine the benefits of experience, flexibility and cost efficiency to create tailored solutions centered on what’s best for businesses. Now numbering more than 1,400 employees across the country and India, we’re committed to solving clients’ toughest problems and delivering on our mission of providing unmatched experiences.

Our purpose at Centric Consulting is to bring unmatched experiences to clients and employees. These aren't just words we use — it's how we became a company and who we are today. Providing an unmatched experience means we approach each other as human beings and lead with empathy and humility. It means we work diligently to ensure we are a place where everyone can create a sense of belonging and feel respected for who they are.

We know that creating and sustaining an authentically welcoming culture requires that we all play a part in promoting diversity, equity, and inclusion , from our business practice to how we show up for employees and communities. At Centric, we are looking for and embrace candidates of all backgrounds and identities who have a hunger for learning, collaborating, and generating unmatched experiences. This is how we bring our mission and core values to life, working together to provide the highest quality services to our clients while allowing our employees to reach their full potential.