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Full-Time

Head of Field Engineering & ML Solutions

Posted on 6/27/2024

Gretel

Gretel

51-200 employees

Generates synthetic data for AI development

AI & Machine Learning

Compensation Overview

$220k - $250kAnnually

+ Commissions + Bonuses + Stock Options

Senior, Expert

San Diego, CA, USA

Category
Applied Machine Learning
Robotics & Autonomous Systems
AI & Machine Learning
Required Skills
Kubernetes
Microsoft Azure
Python
Jupyter
Data Science
AWS
Google Cloud Platform
Requirements
  • Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field. PhD preferred.
  • Strong technical expertise in data engineering, Cloud infrastructure, machine learning, and deployment, with hands-on experience in developing and implementing enterprise-scale solutions.
  • Proven experience in a leadership role, managing technical teams and delivering complex solutions in the field of data engineering or machine learning.
  • Demonstrated ability to effectively engage with enterprise customers, understand their business needs, and deliver tailored technical solutions to address their challenges.
  • Excellent communication and interpersonal skills, with the ability to communicate complex technical concepts to both technical and non-technical stakeholders.
  • Fluency in Python, utilizing Colab or Jupyter notebooks, and working with open-source libraries.
  • Experience with deploying a machine learning solution, working with containers and related tooling (Kubernetes, Helm, Kubecutl) on AWS, Azure, and GCP.
  • Willingness to travel occasionally (up to 20%) for customer meetings, conferences, and industry events as needed.
Responsibilities
  • Lead and support customers through pilot implementations, ensuring the successful deployment of solutions tailored to meet their specific business use cases.
  • Partner with account executives and prospects/customers directly to align Cloud infrastructure, data pipeline, and ML requirements to inform the design, build, and deployment of the technical customized solution.
  • Work closely with cross-functional teams to drive alignment on product roadmap, feature development, and go-to-market strategies.
  • Be the voice of the customer by proactively identifying opportunities in the product based on customer needs and building solutions to address emerging patterns.
  • Hire and manage a team of field ML engineers, providing guidance, mentorship, and support to ensure successful project execution and customer deliverables.

Gretel.ai

Company Stage

Series B

Total Funding

$66.2M

Headquarters

Palo Alto, California

Founded

2020

Growth & Insights
Headcount

6 month growth

2%

1 year growth

13%

2 year growth

50%

Benefits

Healthcare

Phone & internet

WFH

Flexible PTO

Home office stipend

401k