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ML Ops Architect

posted by: spj_bot

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Our business value and leadership have been recognized by various market research firms, including Forrester and Gartner.

We are looking for a motivated and passionate Machine Learning Engineers for our team.

 

Job Description:

As a Senior ML OPS Engineer, you will be joining a team of experienced Machine Learning Engineers that support, build, and enable Machine capabilities across the organization. You will work closely with internal customers and infrastructure teams to build our next generation data science workbench and ML platform and products. You will be able to further expand your knowledge and develop your expertise in modern Machine Learning frameworks, libraries and technologies while working closely with internal stakeholders to understand the evolving business needs. If you have a penchant for creative solutions and enjoy working in a hands-on, collaborative environment, then this role is for you.

Requirements

What you'll do in the role:

Job Skills

leadership terraform databricks cloud architectures compliance requirement cross functional agile system health version control scalable manage github high availability big datum distribute computing test automation workbench architectures technologies time performance engineers engineers computer science cloud compute visualization technologies manage cloud consultants airflow tableau job description azure data libraries azure databrick career development managed python experience designing google cloud platform collaborate reliable best practices azure machine learn analytics standard operating procedure programming machine learn creative perspective automated azure kubernete service governed data science google cloud market research scripting consulting scalability performance optimization real time azure monitor electrical engineering vulnerabilities collaborative machine learning infrastructure logging tracking scale e data pipelines ansible programming languages unix shell job scheduler processes tools
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Production Support Engineer

posted by: spj_bot

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for multiple Fortune 500 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best global analytics consulting team in the world.

Requirements


  • Basic troubleshooting using one or more of the technologies like SQL, PL/SQL, DWH, ETL and Cloud Technologies and tools.
  • Good Analytical, Problem-solving, Interpersonal and communication skills.
  • Good Awareness of ITIL process.
  • Good understanding of Operational best practices.
  • Good understanding of any of the Job schedulers and Monitoring tools.
  • Flexible to work in shifts based on client needs.
  • Ability to work independently and work in a team in a collaborative fashion.
  • Detail oriented and ability to multi-task.
  • Understanding of any one of the scripting tools for basic automations – Perl/Python/UNIX Shell.
  • Knowledge of DWH processes, data flow documents, Monitoring of batch processes, and troubleshooting skills.
  • Understanding of the Azure ecosystem or any cloud would be an added advantage.

    • Benefits

    Job Skills

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