Sign up with

Already have an account? Log in here

Need some help?
Talk to us at +91 7670800001

Machine Learning Engineer at Ford Global Career Site

Palo Alto, California, United States -

Full Time

Start Date

Immediate

Expiry Date

13 Jan, 26

Salary

0.0

Posted On

15 Oct, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Analysis, Feature Engineering, Model Development, Hyperparameter Tuning, Model Evaluation, Python, Pandas, Numpy, ScikitLearn, Pytorch, Tensorflow, NLP, Computer Vision, API Development, Git

Industry

Motor Vehicle Manufacturing

Description

Analyze source data and data flows, working with structured and unstructured data (text, audio, images, video, etc.) Apply AI and Machine Learning technology to solve complex, real-world problems. Analyze and visualize diverse sources of data, interpret results and report results clearly and concisely. Fulfill problem formulation and ML approaches. Established and active employee resource groups Bachelor's or Master's degree in Computer Science, Statistics, Applied mathematics, or other engineering discipline. 2-3+ years experience in feature engineering, model development, hyper parameter tuning, and model evaluation 2-3+ years experience with Python, Pandas/Numpy/ScikitLearn, Pytorch, Tensorflow, Huggingface 2+ years Google Cloud Platform Core concepts of modern NLP or Computer Vision modeling techniques Familiarity with best practices in deep learning Familiarity with API and application development and tools such as FastAPI or Dash. Strong technical writing and oral skills Ph.D. degree in a STEM field Git and best practices in GitHub Test and Behavior Driven Development OS: Linux shell scripts and Docker containers Exposure to best practices in CI/CD

Responsibilities

Analyze source data and data flows, working with structured and unstructured data. Apply AI and Machine Learning technology to solve complex, real-world problems.