Technical Support Engineer, Machine Learning
Company: Tecton
Location: San Francisco
Posted on: October 19, 2024
Job Description:
As a Technical Support Engineer at Tecton, you're instrumental
in ensuring clients' seamless use of the company's machine learning
operations (MLOps) platform. Your main focus is providing expert
technical assistance and troubleshooting guidance to customers,
swiftly addressing any issues they encounter while utilizing
Tecton's platform. This involves deep product knowledge,
proficiency in relevant technologies and programming languages, and
adept communication skills to effectively assist customers from
diverse technical backgrounds.In addition to reactive support, you
take a proactive approach by monitoring platform performance and
collaborating with internal teams to implement solutions and
enhancements. Your contributions extend beyond issue resolution to
include the creation of knowledge base materials and training
resources, empowering customers to optimize their use of Tecton's
platform independently. Your role is pivotal in delivering
exceptional customer experiences and bolstering Tecton's position
as a leader in MLOps solutions.Responsibilities
- Take end-to-end ownership of customer issues, including
troubleshooting, identification of root cause together with the
Engineering team, and issue resolution
- Collect information and document bugs for product issues
impacting customers
- Build process or troubleshooting documentation in the support
knowledge base
- Write comprehensive knowledge base articles to aid customers in
issue resolution and product understanding
- Deliver against customer experience and efficiency targets
- Assess and prioritize customer cases to ensure timely response
and resolution according to service standards and best practices,
with an emphasis on escalated cases.
- Meet or exceed customer expectations on response quality,
timeliness of responses, and overall customer experience
- Serve as internal and external point of contact on customer
matters and ensure customer issues are resolved as expediently as
possibleMust Have Qualifications
- 3+ years of experience
- Knowledge of SQL
- Knowledge of Python and/or PySpark
- Basic knowledge of networkingNice To Have
- Familiarity with Machine Learning and Data Science tooling,
such as Jupyter Notebooks, Tensorflow, Scikit-learn, and
PyTorch
- Knowledge of JIRA, Github, or Gitlab
- Experience with data platforms such as Spark, Databricks, EMR,
Snowflake, or BigQuery.
- Distributed file system
- Experience with AWS, GCP, and Kubernetes
- Past experience working in a customer-facing role (IT Support,
HelpDesk, and similar)Education Preference
- Bachelor or Masters Degree in Data Science, Statistics, CS, or
Information Sciences$111,000 - $135,000 a yearThe estimated US base
salary range for this position is $111,000 - $135,000 annually for
employees based within California & New York. In addition to base
salary, we offer competitive equity & comprehensive benefits such
as medical, dental, vision, life, 401(K), flexible paid time off,
10 paid holidays each calendar year, sick time, leave of absence as
per the FMLA and other relevant leave laws. Individual compensation
packages are based on multiple factors such as location, level,
role scope, and complexity, as well as additional job-related
factors such as skills, experience, and expertise.Tecton values
diversity and is an equal opportunity employer committed to
creating an inclusive environment for all employees and applicants
without regard to race, color, religion, national origin, gender,
sexual orientation, age, marital status, veteran status, disability
status, or other applicable legally protected characteristics. If
you would like to request any accommodations from the application
through to the interview, please contact us at
recruitingteam@tecton.ai.This employer participates in E-Verify and
will provide the federal government with your Form I-9 information
to confirm that you are authorized to work in the U.S.
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Keywords: Tecton, Sacramento , Technical Support Engineer, Machine Learning, Engineering , San Francisco, California
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