Machine Learning Engineer (Cloud)

United States

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Ivanti

Ivanti finds, heals and protects every device, everywhere – automatically – so employees can work better from anywhere.

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Machine Learning Engineer

Who We Are

Ivanti is a global leader in IT systems and security management, service management, asset management, and mobility management and security solutions - helping organizations reduce risks and costs associated with managing their IT environment.

Ivanti is experiencing significant growth worldwide. The company has received numerous awards for being a Top Place to Work, as well as many accolades for the products it develops. Our customer focus strategy is driven by the company’s core values, including innovation, accountability, teamwork, and trust, it's an exciting time to join Ivanti.

Looking for more than just a job? We like developing our people just as much as we like developing great products and services

If you’re passionate about what you do, are a champion of customer satisfaction and success, and interested in developing solutions that make a difference and in having fun while doing it, Ivanti is the place for you!

What We Do

  • Empower users to seamlessly and securely connect from any place in the world that offers air, water and… Internet!
  • Equip organizations with the right tools to configure access, manage and enforce compliance with a holistic view on network, users and usage.
  • Empower organizations to continue to breathe easy, now with an added sense of invincibility.
  • Work hard so that you can focus on the things you want to!

What we are looking for

Ivanti is currently looking for a Machine Learning Engineer to be be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You'll participate in the detailed technical design, development, and implementation of machine learning applications using existing and emerging technology platforms. You'll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering

What you will be doing

  • The MLE role overlaps with many disciplines, such as Ops, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
  • Design, build, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
  • Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation).
  • Solve complex problems by writing and testing application code, developing and validating ML models, and automating tests and deployment.
  • Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
  • Retrain, maintain, and monitor models in production.
  • Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
  • Construct optimized data pipelines to feed ML models.
  • Leverage continuous integration and continuous deployment best practices, including test automation and monitoring, to ensure successful deployment of ML models and application code.
  • Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
  • Use programming languages like Python, Scala, or Java.

What you need to be successful

  • Bachelor's degree
  • At least 2 years of experience designing and building data-intensive solutions using distributed computing (Internship experience does not apply)
  • At least 2 years of experience programming with Python, Scala, or Java
  • At least 1 year of Machine Learning experience with an industry recognized ML framework (scikit-learn, PyTorch, Dask, Spark, or TensorFlow)

Other skills that you may bring along but are not essential are:

  • Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform
  • 1+ years of experience working with large code bases in a team environment
  • 1+ years of experience with distributed file systems or multi-node database paradigms
  • Contributed to open source ML software
  • 1+ years of experience building production-ready data pipelines that feed ML models

 

Organizational Culture

Ivanti provides a supportive environment for motivated individuals looking to grow their careers and realize high earnings potential. Join a challenging, technology focused environment, earn a competitive salary and benefits package, receive the training you need to stay ahead of the curve, and work in a casual, smart, and fast-paced organization.

External Recruiting Agencies/Vendors: Ivanti does not currently engage with external recruiting agencies and will not accept unsolicited resumes from any external agency. Unsolicited resumes submitted by agencies to Ivanti will become the property of Ivanti and may be contacted and engaged with directly. Ivanti maintains a preferred vendor list and only engages with these agencies from time to time. Ivanti has not agreed to pay placement or any other fee to companies who have not been specifically retained to conduct a candidate search.

 

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile AWS Azure Big Data Data pipelines Engineering GCP Google Cloud Machine Learning ML models Model training Open Source Pipelines Python PyTorch Scala Scikit-learn Security Spark TensorFlow Testing

Perks/benefits: Career development Competitive pay Startup environment Team events

Region: North America
Country: United States
Job stats:  6  0  0

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