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Machine Learning Engineer (Canada)

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.

As part of this job, you will be responsible for:

  • Providing solutions for the deployment, execution, validation, monitoring, and improvement of data science solutions
  • Creating Scalable Machine Learning systems that are highly performant
  • Building reusable production data pipelines for implemented machine learning models
  • Writing production-quality code and libraries that can be packaged as containers, installed and deployed

Requirements

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Cloud Data 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 one of the highest-rated employers on Glassdoor.

If you are passionate to work on unstructured business problems that can be solved using data, we would like to talk to you.

Job Skills

datasets leadership mentorship data warehouse automation data data ul information system data integration data data lakes data engineer frameworks spark on prem GCP resiliency big datum cloud security sql computer science production management data quality load balancers nosql stream processing consultants bigquery management process career development data ingestion manage production python operationalizing data lake cloud azure data engineers best practices storage analytics programming languages flink communication skills kubernetes scala communicate redshift data science market research professional certification consulting accounts devops scrum machine learning metadata snowflake mitigate firewalls scale coordinate improve productivity system administration java transformation agile methodology
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Python Engineer - Latin America - Remote

posted by: spj_bot

Azumo is looking for a highly motivated Python Fulllstack Engineer to develop and enhance high performing and scalable software infrastructures in AI, NLP and data-intensive software environments.

At this time, we will only be considering candidates based in Latin America, as most of our engineers are based there.

This position will give you the opportunity to collaborate with a growing team and bright engineering minds. You will enjoy the role if you love designing and developing scalable, high performant backend infrastructure using Python, React + Django / Flask / Eve / FastAPI open-source frameworks and connecting applications to modern cloud-based technologies.

At Azumo we strive for excellence and strongly believe in professional and personal growth. We want each individual to be successful and pledge to help each achieve their goals while at Azumo and beyond. Challenging ourselves and learning new technologies is at the core of what we do.

Based in San Francisco, California, Azumo is an innovative software development firm helping organizations build intelligent apps using the latest technologies in AI, data and cloud. We are passionate about solving key problems for customers around the globe.


Responsibilities:

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Cloud DevOps Engineer - Latin America - Remote

posted by: spj_bot

Azumo is currently looking for a highly motivated Cloud DevOps Engineer to develop and maintain cloud infrastructure for next-generation web, mobile, and IoT Applications. The position is FULLY REMOTE based in Latin America.


IT Infrastructure Management:

● Provisioning of infrastructure components for supporting business services

● Developing, configuring, and deploying tools to be used by SRE/DevOps teams

● Developing and maintenance of system documentation

● Change Management: Determining and validating new features and updates for the

managed infrastructure Site Availability, Reliability and Serviceability

● Handling support escalation issues and incident reviews

● Availability and Performance Monitoring

● Service Recovery and Emergency Response

● Capacity Planning

● Automated Infrastructure Provisioning (Infrastructure as Code) DevOps

● Creation and maintenance of CI/CD pipelines

● Creation and maintenance of Docker images

● Creation and maintenance of automation scripts

● Support to developers and QA teams during the software lifecycle process

● Deploy applications to production and non-production environments


The Cloud DevOps Engineer will be based in Latin America. Compensation is commensurate with experience and candidate potential.


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