Senior MLOps Engineer - Artificial Intelligence

Bloomberg Television is a leader in financial technology, focusing on building innovative AI applications to enhance decision-making in the financial marketplace. They are seeking a Senior MLOps Engineer to design and build tools that improve the efficiency of the Model Development Life Cycle and automate machine learning processes.

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

• Benefits + Bonus
• Merit increases
• Incentive compensation (exempt roles only)
• Paid holidays
• Paid time off
• Medical
• Dental
• Vision
• Short and long term disability benefits
• 401(k) +match
• Life insurance
• Various wellness programs

Company

• Breaking news. In-depth analysis. Market-moving scoops. Exclusive interviews.
• New York, NY, US
• https://www.bloomberg.com/live/us
• 5001-10000 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, Buildpacks, Data structures, DeepSpeed, GCP, Go, Kubernetes, Machine learning, ONNX, PyTorch, Python

Experience

• 4+ years