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Data Scientist

posted by: spj_bot

Azumo builds and operates production AI systems for companies ranging from seed-stage startups to Meta. We are hiring a Data Scientist to own the part that comes before the system exists: what question is actually being asked, which method answers it, whether the answer holds up, and how anyone would know.The role is fully remote across Latin America, aligned to your client's working day.

You will not be handed a specification. Azumo has shipped models into production since 2016, and the work here starts with a client who knows what bothers them and does not yet know what to measure. Turning that into a model, a baseline, and a number someone can act on is the job.

Where this role sits

Azumo's engineering organization is built around four lanes. The Data Engineer lane owns pipelines, storage, and the retrieval layer. The AI Engineer lane owns production behavior. The Software Engineer lane owns AI-augmented product delivery. This role is the Data Scientist lane, and it owns the question and the method.

One question places the boundary: when the output is wrong, whose problem is it? "The method was inappropriate, or the question was the wrong one" is yours. "The system did the wrong thing with an appropriate method" is the AI Engineer's.

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Job Skills

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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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