Found.dev
Role Highlights
Languages used
Python
SCALA
Java
Key skills
Computer Science
Integrations
UI UX
AI
Infrastructure
Machine Learning
Deployment
Full Stack
Tools, Libraries and Frameworks
DataBricks
MLFlow
Apache Spark
LLamaindex
Tensorflow
PyTorch
Langchain
Description
The individual will design and implement platform capabilities to support the entire lifecycle of AI and machine learning development. This includes managing the training, evaluation, deployment, and monitoring of models and agents. The role involves building integrations with various frameworks within the AI and machine learning ecosystem. Furthermore, the individual will collaborate with the global community to advance industry standards in AIOps. Mentorship of junior engineers through project planning and technical reviews is also a core responsibility.
Required Qualifications and Skills
Candidates must possess a Bachelor of Science degree or higher in Computer Science or a related field. A minimum of three years of hands-on experience building production systems using Python, Scala, or Java is required. Applicants should have experience building and maintaining software tools for AI and machine learning, preferably within an open-source environment. Familiarity with AIOps concepts, including model training and deployment, is necessary.
Disclaimer
Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.
About the company
Databricks
Size
8632
HQ
San Francisco, US
Public/Private
Privately HeldDescription
Databricks is the data and AI company. More than 10,000 organizations worldwide including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow. --- Attention: Databricks applicants Due to reports of phishing, were requesting that all Databricks applicants apply through our official Careers page at databricks.com/company/careers (good news you are here). All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
Related jobs
Apache Spark
Big Data
Customer Success
Financial Services
Melbourne, Australia
Full Time
Strategic Core Account Executive - Travel
Databricks
Apache Spark
Big Data
IOS
DataBricks
San Francisco, CA, USA
Remote
Full Time
Apache Spark
Big Data
Customer Success
SalesForce
Sydney, Australia
Full Time