Senior Solutions Engineer

4 weeks ago

Delhi, Delhi, India Infraveo Technologies Full time

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.

- Its 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.

(ref:hirist.tech)

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