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Lead AI/ML Engineer, Kubeflow

Vantage Compute · Vantage Compute Drive 1680, Mc Lean · Posted 1d ago

onsiteFull-timelead5-8 yrs$199000 - 248000🇺🇸 United States
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About the role

Design and develop AI-driven products and scalable AI solutions using Kubeflow and cloud platforms.

Salary: $199000 - 248000 per year Requirements: Bachelors degree in Computer Science, AI, Electrical Engineering, Computer Engineering, or related field with a minimum of 4 years experience in AI and ML development, or a Masters degree with at least 2 years experience in AI and ML Minimum of 4 years programming experience in Python, Go, Scala, or Java 6 years experience deploying scalable AI solutions on cloud platforms like AWS, Google Cloud, Azure, or similar Experience in designing, developing, and supporting AI services Proficiency in developing AI algorithms using Python, C++, C#, Java, or Golang Depth of experience in optimizing AI systems for performance and cost efficiency Enthusiasm for keeping up-to-date with the latest advancements in AI research and applications Responsibilities: Collaborate with a diverse team of engineers, scientists, and managers to create AI-driven products that enhance associate workflows and customer engagements Design, develop, test, launch, and maintain AI software components including training foundational models, performing large language model inference, conducting similarity searches, implementing guardrails, and overseeing model evaluation Utilize various Open Source and SaaS AI technologies including AWS Ultraclusters and PyTorch to build solutions Innovate and deploy advanced LLM optimization methods to enhance scalability, cost-efficiency, and processing speed of large-scale production AI systems Contribute to the strategic vision and future development of AI foundational systems within our organization Technologies: AI AWS Azure C# Cloud Golang Java LLM Machine Learning PyTorch Python Scala Hardware Support Kubeflow More: At Vantage Compute, we are revolutionizing the banking sector through responsible and innovative AI systems. Our commitment to technology and stellar talent, combined with our extensive machine learning expertise, provides us with a unique position in the industry. The Intelligent Foundations and Experiences (IFX) team plays a crucial role in implementing our AI vision, developing proprietary solutions that deliver value across our enterprise. We offer a competitive benefits package and foster an inclusive work environment where innovation thrives, located in McLean, VA, New York, NY, San Francisco, CA, and San Jose, CA. last updated 28 week of 2026

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Why this role stands out

  • Pays more than 75% of comparable ml roles paid in USD in United States
  • Fresh posting — apply before the crowd

Responsibilities

  • Collaborate with a diverse team to create AI-driven products
  • Design, develop, test, launch, and maintain AI software components
  • Utilize various Open Source and SaaS AI technologies
  • Innovate and deploy advanced LLM optimization methods

Must-have skills

  • python
  • go
  • scala
  • java
  • aws
  • google cloud
  • azure
  • llm inference
  • similarity search
  • kubeflow

Nice-to-have skills

  • c++
  • c#
  • golang
  • huggingface
  • pytorch

FAQ

Is the Lead AI/ML Engineer, Kubeflow role at Vantage Compute remote?+

This Lead AI/ML Engineer, Kubeflow position is listed as onsite (Vantage Compute Drive 1680, Mc Lean).

What is the salary for the Lead AI/ML Engineer, Kubeflow role at Vantage Compute?+

The listing states $199000 - 248000.

What seniority level is this Lead AI/ML Engineer, Kubeflow role?+

This is a lead level position.

What skills does the Lead AI/ML Engineer, Kubeflow role require?+

Key requirements include python, go, scala, java, aws, google cloud, azure, llm inference.

How do I apply for the Lead AI/ML Engineer, Kubeflow role at Vantage Compute?+

Use the "Apply on devitjobs_com" button to open the original posting on devitjobs_com, where you can submit your application directly to Vantage Compute.