Description:

The Senior Solutions Engineer - Data & ML will report to the Head of Customer Solutions and will be responsible for ensuring the technical feasibility and success of Union Cloud PoC’s and production deployments.
This role involves partnering with customer and internal stakeholders to own the technical success of Union Cloud customers’ deployments and use cases.
The engineer will represent the “voice of the user” and promote a user-first mindset across the company.
Responsibilities include helping Union Cloud users get started, debugging problems in their workflows, and empowering customers to achieve efficiency, reliability, and repeatability for their ML applications through education on best practices.
The engineer will collaborate with Product and Engineering teams to provide insights for feature design and prioritization.
They will develop, maintain, and document representative examples for Union Cloud customers and champion the Flyte open-source workflow orchestration system.
The role requires maintaining communication with customers regarding their adoption trends and opportunities for deeper engagement.
The engineer will support retention and adoption efforts by understanding customers' technical and business needs.

Requirements:

Candidates should have 5+ years of experience solving real-world ML problems to help users achieve efficiency, reliability, and repeatability for their ML applications.
Solid Python programming and Kubernetes debugging skills are required, with Go experience being a plus.
Familiarity with public cloud technologies, DevOps/MLOps, networking, and security principles is necessary.
The role is suited for individuals interested in a deeply technical customer-facing position involving data and machine learning at scale.
Significant hands-on experience with machine learning and orchestration, as well as building production-use ML systems in multi-tenant cloud products, is essential.
An in-depth understanding of data processing, ML systems, MLOps, and machine learning infrastructure components is required.
Familiarity with ML libraries such as Spark, Airflow, Tensorflow, and Pytorch, along with a grounding in distributed systems fundamentals, is important.
Excellent written and verbal communication skills, with an empathetic tone, are necessary.
Previous experience in a similar role supporting customers’ engineering teams in adopting open-source and commercial products for data and/or machine learning is preferred.
It is a strong plus if candidates have contributed to the Flyte or Union communities through various engagements.

Union.ai offers excellent medical benefits, covering 100% of employee premiums and 90% for dependents.
Generous dental and vision plans are provided, with 90% of premiums covered for employees and their dependents.
Employees receive meaningful equity in the form of options, making them owners of the company.
The position includes unlimited time off plus 12 company holidays.
A 401K match is available, with Union.ai matching 100% of contributions up to the first 3% and 50% up to 5%.
The company provides 16 weeks of paid parental leave for both primary and secondary caregivers.
A flexible work schedule is offered, with some restrictions.
For in-office employees, lunch is provided onsite along with a well-stocked kitchen featuring snacks and drinks.