Senior Solutions Engineer - Data & ML
Senior Solutions Engineer - Data & ML
Posted on :
21-06-2025
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1 Vacancy
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Job Description
This is a remote position.
We are seeking a Senior Solutions Engineer - Data & ML to join our team.
Responsibilities:
- Own technical success of Union Cloud customers deployments and use cases by partnering with internal and customer stakeholders.
- Represent voice of the user and bring that user-first mindset across the company.
- Help Union Cloud users get up and running and help them debug problems in their workflows.
- Empower our customers to attain efficiency reliability and repeatability for their ML applications by educating them on good patterns.
- Partner with Product and Engineering teams to provide context and insights for feature design solution and prioritization.
- Develop maintain and document representative examples for Union Cloud customers.
- Learn contribute to and champion the Flyte open-source workflow orchestration system as well as related Union Cloud.
- Educate technical users and decision-makers on Flyte and Union Cloud.
- Maintain a cadence of communication with customers about their adoption trends sentiment and opportunities for deeper engagement.
- Support retention and adoption efforts of Union Cloud among customers by understanding their technical and business needs and helping them succeed.
Requirements
- Experienced with 5 years of solving real-world ML problems to help users attain efficiency reliability and repeatability for their ML applications.
- Have solid Python programming and Kubernetes debugging skills. Go experience is plus.
- You are familiar with public cloud technologies and services DevOps/MLOps networking and security principles etc.
- Interested in a deeply technical customer facing role involving data and machine learning at scale.
- Significant experience with hands on machine learning and orchestration building production-use ML systems in multi-tenant cloud products.
- In depth understanding of data processing ML systems MLOps and Machine Learning infrastructure components.
- Familiarity with Spark Airflow Tensorflow Pytorch and other ML libraries as is a grounding in the fundamentals of distributed systems.
- Possess excellent written and verbal communications skills with a tone that conveys empathy.
- Have previous experience in a similar role supporting customers engineering teams adopting open source and commercial products for data and/or machine learning.
- It s a strong plus if you have been a part of or contributed to the Flyte or Union communities through in-person meetups conferences workshops events electronic forums or direct open-source development.
Benefits
Work Location: Remote
5 days working
Experienced with 5+ years of solving real-world ML problems to help users attain efficiency, reliability, and repeatability for their ML applications. Have solid Python programming and Kubernetes debugging skills. Go experience is plus. You are familiar with public cloud technologies and services, DevOps/MLOps, networking and security principles, etc. Interested in a deeply technical customer facing role involving data and machine learning at scale. Significant experience with hands on machine learning and orchestration, building production-use ML systems in multi-tenant cloud products. In depth understanding of data processing, ML systems, MLOps and Machine Learning infrastructure components. Familiarity with Spark, Airflow, Tensorflow, Pytorch and other ML libraries,, as is a grounding in the fundamentals of distributed systems. Possess excellent written and verbal communications skills, with a tone that conveys empathy. Have previous experience in a similar role supporting customers engineering teams adopting open source and commercial products for data and/or machine learning. It s a strong plus if you have been a part of or contributed to the Flyte or Union communities through in-person meetups, conferences, workshops, events, electronic forums, or direct open-source development.
Employment Type
Full Time
Key Skills
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