Our client is a rapidly growing, seed-stage start-up that leverages their proprietary AI-driven workforce intelligence platform to provide businesses, HR Teams and C-level executives with insights, strategy, and planning around their business. They are seeking their first full-time Data ML Engineer to be a founding member of their data practice and wear many hats across data engineering, data analytics, and Machine learning.
Job Title: ML Data Engineer
Job Type: Full-time / Direct-hire. Must be based in U.S. and eligible to work for any U.S. Employer without sponsorship. No sponsorship can be provided at this time.
Location: 100% Remote / ET hours
Required Technology And Skills
- 2+ years of professional, full-time experience working across machine learning, data engineering, data modelling and ETL
- Expertise in Python and SQL
- Experience working in AWS environment
- Experience working with snowflake, databricks, or similar tools
- Strong understanding of ML concepts, generative AI, and building predictive modells
- Experience, interest, and/or skills to wear many hats in a scrappy, start-up environment where you fill help shape an “undefined” role
Additional Skills
- Degree in IT, Computer Science, Data Science or similar field
- Extremely motivated and ambitious demeanor, and excited by the opportunity to be a founding member of the data practice with major upward mobility
Salary Range: Target base salary range of $110,000 to $135,000 (based on experience) plus bonus or equity considerations
Benefits And Perks
- Great benefits (health/dental/vision, etc)
- Opportunity to make a large impact at an early stage of a rapidly growing tech start-up
- Opportunity to get in at the ground-floor on work on greenfield projects without legacy technology
If you are interested, please apply directly for immediate consideration or reach out to Andrew Zaloom for more information: azaloom@talener.com