Machine Learning Engineer Mid

Description

Machine Learning Engineer Mid

Direct Hire 1099 or W2 only. 

The client is not offering subcontracting for this position.

This role is onsite in Irving, TX.

Overview

We are seeking a Machine Learning Engineer to join the AI COE Team!

At [Company], we’re creating the next generation of convenience, and we know that the best way to do that is with great people. Read on if you get excited about working on challenging problems and owning a solution from concept to implementation.

About the job:

You’ll be joining a multidisciplinary team of scientists, researchers, designers and engineers who research and innovate on the latest technology to create awesome digital products that millions of people will experience every day.

You will be responsible for building and deploying AI/ML solutions that improve customer experience, enable innovative user experiences, and increase store revenue. Engineers at [Company] have a solid technical background but enjoy learning new languages, technologies, and frameworks. From creating an experimental machine learning prototype to deploying a production-ready backend, our engineers take many hats to see projects to completion.

Ideal Candidate Description:

You get excited reading about the latest advances in AI. You are intellectually curious and always pushing yourself to learn. Novel challenges drive you. Ambiguity is par for the course. You take pride in finding the simplest solution to complex problems. Doing the same thing every day would drive you crazy. You might not always know the answer off the top of your head, but you work hard to find the right solutions.

Requirements

Key Responsibilities:

• Research, prototype, and develop software solutions to solve problems across retail
• Stay up to date with emerging technology and learn new technologies/libraries/frameworks
• Learn and partner with peers across multiple disciplines, such as data, product, and systems design
• Deliver on time with a high bar on quality of research, innovation and engineering

Key Requirements:

• 2+ years of experience as a developer for high-tech products or services and you have 2+ years of hands-on experience delivering products or solutions that utilized Machine learning, Natural Language processing, or other forms of AI solutions (Computer Vision/ Mathematical Optimization) OR an MS in Computer Science with some experience with Machine Learning.
• Mathematical understanding of a variety of statistical learning algorithms (Reinforcement Learning, Supervised/Unsupervised, Graphical Models)
• Experience in a variety of Deep Learning architectures and models including Residual Networks, RNN/CNN, Transformer, and/or Transfer Learning in a production environment
• Proficiency in Python, Scala, or C++
• You are very fluent in one or more ML tools like Tensorflow, Pytorch, Caffe, and/or Theano
• Familiarity with some key concepts in Computer Vision
• Knowledge acquired earning a degree in Computer Science or Math would be of great value in this position

Basic Qualifications:

• 2+ years of experience with statistical data science techniques, feature engineering, customer segmentation etc.
• 2+ years of experience training, evaluating and deploying Machine Learning models.
• 2+ years of experience with productionizing and deploying ML workloads in AWS/Azure.
• Familiarity with containerized application tooling and deployments (Docker/Kubernetes)
• Bachelor’s Degree or higher in Computer Science/Engineering/Math, or relevant experience

Extra Credit:



• Experience with AWS Sagemaker and/or Databricks AI/ML platform
• Experience with Kafka or other data-streaming frameworks