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Machine Learning Engineer
Machine Learning EngineerTata Consultancy Services • San Francisco, CA
Machine Learning Engineer

Machine Learning Engineer

Tata Consultancy Services • San Francisco, CA
[job_card.30_days_ago]
[job_preview.job_type]
  • [job_card.full_time]
[job_card.job_description]

Job Title

Machine Learning Engineer/AI Engineer

Relevant Experience (in yrs)

10+

Work Location (State, City and Zip)

San Francisco

Technical/Functional Skills

Azure , Python, AIML, Kubernetes, Devops

Roles & Responsibilities

Responsibilities:

Hands on experience in Azure cloud Technology and definitely very good hands on experience in Terraform .

• Design and implement monitoring and alerting strategies to enforce application SLAs

• Develop, test, and debug automated tasks (Apps, Systems, Infrastructure)

• Troubleshoot priority incidents, facilitate blameless post-mortems

• Work with development teams throughout the software life cycle ensuring sustainable software releases

• Perform analytics on previous incidents and usage patterns to better predict issues and take proactive actions

• Define, drive adoption and enforcement of service level objectives at both service and experience levels

• Influence, design and create new architectures, standards and methods for large-scale enterprise systems

• Build and drive adoption for greater self-healing and resiliency patterns

• Lead and participate in performance tests; identify bottlenecks, opportunities for optimization, and capacity demands

• Experience in managing and scaling distributed systems in a public, private, or hybrid cloud environment

• Advise design reviews, operational reviews, and the deployment of highly available infrastructure.

• Make monitoring and alerting meaningful to support our uptime goals.

• Operate and maintain infrastructure in multiple public clouds especially Azure Cloud

• Experience with deploying, supporting and monitoring new and existing services, platforms, and application stacks

• Experience with scale testing, disaster recovery, and capacity planning

• Cloud operations experience in a large scale 24x7 production environment.

• Manage, innovate and create programs, new software, analytics that drive improvements to the availability, scalability, latency, and efficiency of USBank Applications and services.

Is responsible for developing, implementing and maintaining knowledge-based or artificial intelligence application systems. The individual should ensure that information is converted into a format that is digestible and easy for end users to access the information and utilize it optimally.

ESSENTIAL FUNCTIONS:

? Designs and writes complex code in several languages relevant to our existing product stack, with a focus on automation

? Configures, tunes, maintains and installs applications systems and validates system functionality

? Monitors and fine tunes applications system to achieve optimum performance levels and works with hardware teams to resolve issues with hardware and software

? Develops and maintains department's knowledge database containing enterprise issues and possible resolutions.

? Develops models of task problem domain for which a system will be designed or built.

? Uses models, hypotheses, and cognitive analysis techniques to elicit real problem-solving knowledge from the experts

? Mediates between the expert and knowledge base; encodes for the knowledge base

? Acts as subject matter expert for difficult or complex application problems requiring interpretation of AI tools and principles

? Researches and prepares reports and studies on various aspects of knowledge acquisition, modeling, management, and presentation

? Develops and maintains processes, procedures, models, and templates for collecting and organizing knowledge into specialized knowledge representation programs

? Acts as vendor liaison for products and services to support development tools

? Maintains the definition, documentation, training, testing, and activation of Disaster Recovery/Busine

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