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BloombergPosted 16 days ago

Senior MLOps Engineer - Artificial Intelligence

Full-time
On-site
4+ years
$160K – $240K/yr
Posted 16 days ago

Bloomberg is hiring a Senior MLOps Engineer to build and maintain AI systems and improve the efficiency of the Model Development Life Cycle. The role focuses on production AI applications, ML process automation, system performance, and operationalizing model training, inference, and monitoring workflows.

Posted
16 days ago
Source
bloomberg.avature.net
Sector
Information Technology & AI

Opens the employer's application page in a new tab

Responsibilities

  • Architect, build, and diagnose production AI applications and systems
  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
  • Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

Qualifications

  • 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms
  • An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
  • Industry experience with machine learning teams
  • Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc
  • Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc
  • Experience with cloud providers such as AWS, GCP or Azure
  • A track record of collaboration with colleagues to achieve repeatable high quality outcomes

Required skills

AWSAlgorithmsArgo WorkflowsAzureData StructuresDeepSpeedGCPGoKubernetesMachine LearningONNXPyTorchPython

Full job description

Bloomberg is hiring a Senior MLOps Engineer to build and maintain AI systems and improve the efficiency of the Model Development Life Cycle. The role focuses on production AI applications, ML process automation, system performance, and operationalizing model training, inference, and monitoring workflows.

Responsibilities

  • Architect, build, and diagnose production AI applications and systems
  • Collaborate with colleagues on production systems and write, test, and maintain production quality code
  • Define and provide strong SLAs around latency, throughput and resource (memory / disk / network / CPU / GPU) usage
  • Work closely with AI Platform teams to operationalize continuous model training, inference, and monitoring workflows

Benefits

  • Merit increases (benefits are not provided directly to contingent workers/contractors and interns).
  • Incentive compensation for exempt roles only (benefits are not provided directly to contingent workers/contractors and interns).
  • Paid holidays (benefits are not provided directly to contingent workers/contractors and interns).
  • Paid time off (benefits are not provided directly to contingent workers/contractors and interns).
  • Medical benefits (benefits are not provided directly to contingent workers/contractors and interns).
  • Dental benefits (benefits are not provided directly to contingent workers/contractors and interns).
  • Vision benefits (benefits are not provided directly to contingent workers/contractors and interns).
  • Short-term disability benefits (benefits are not provided directly to contingent workers/contractors and interns).
  • Long-term disability benefits (benefits are not provided directly to contingent workers/contractors and interns).
  • 401(k) + match (benefits are not provided directly to contingent workers/contractors and interns).
  • Life insurance (benefits are not provided directly to contingent workers/contractors and interns).
  • Various wellness programs (benefits are not provided directly to contingent workers/contractors and interns).

Company

  • Business and financial information, data, news, and technology services.
  • New York, New York, USA
  • http://www.bloomberg.com/
  • Founded in 1981
  • 10001+ employees

Qualifications

  • 4+ years of experience working with an object-oriented programming language (Python, Go, etc.)
  • A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience
  • An understanding of Computer Science fundamentals such as data structures and algorithms
  • An honest approach to problem-solving, and ability to collaborate with peers, stakeholders and management
  • Industry experience with machine learning teams
  • Working knowledge of common ML frameworks such as PyTorch, ONNX, DeepSpeed etc
  • Prior experience with cloud-native technologies like Kubernetes, Argo Workflows, Buildpacks, etc
  • Experience with cloud providers such as AWS, GCP or Azure
  • A track record of collaboration with colleagues to achieve repeatable high quality outcomes

Required skills

  • AWS, Algorithms, Argo Workflows, Azure, Data Structures, DeepSpeed, GCP, Go, Kubernetes, Machine Learning, ONNX, PyTorch, Python

Experience

  • 4+ years

Job details

Employment type

Full-time

Seniority level

4+ years

Date posted

Oct 28, 2026

Work mode

On-site

Job source

bloomberg.avature.net

Company

Bloomberg

Information Technology & AI

Business and financial information, data, news, and technology services.

See all 5 jobs from Bloomberg →
  • New York, New York, USA
  • Information Technology & AI
  • 10001+ employees
  • Founded 1981
  • bloomberg.com

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Senior MLOps Engineer - Artificial Intelligence

Bloomberg · $160K – $240K/yr

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