Rockwell Automation is a global technology leader focused on helping the
world's manufacturers be more productive, sustainable, and agile. With more
than 28,000 employees who make the world better every day, we know we have
something special. Behind our customers – amazing companies that help feed the
world, provide life-saving medicine on a global scale, and focus on clean
water and green mobility – our people are energized problem solvers that take
pride in how the work we do changes the world for the better.
We welcome all makers, forward thinkers, and problem solvers who are looking
for a place to do their best work. And if that's you we would love to have you
join us!
Job Description
Position Overview:
We are seeking an experienced Machine Learning Engineering Lead to join
our team. You will have a experience delivering projects and will advance our
mission to build, deploy, and sustain machine learning models that optimize
process performance indicators and trends.
You will plan, manager, and control the activities of a team that provides
technology-based data reporting tools and management for business segments or
the company at large. You'll bring expertise or identify subject matter
experts to support multi-functional efforts to identify, interpret and produce
recommendations based on company reporting and data needs. You will generate
recommendations for business groups by providing technical reports that
identify and address business issues and opportunities. You will ensure that
guardrails and procedures align with corporate strategic vision. You will also
select, develop, and evaluate personnel ensuring efficient operation of the
function in an agile process.
You will report to the Director, MLE and Data Science.
Essential Functions:
Lead the execution of technical roadmaps and data pipelines for digital
products featuring AI/ML algorithms, including low coding, data, and
models at scale
Lead a team of MLEs and provide guidance and mentorship to ensure
successful project delivery
Collaborate with teams to identify opportunities for implementing machine
learning solutions to improve business processes
Develop and implement ML-based solutions and components for detecting
anomalous conditions and singularities in monitored processes and
operations
Stay up to date with the latest advancements in machine learning and data
science to ensure our solutions are cutting-edge and effective.
Understand, explore, and deliver relevant data analyses to inform data
inclusion, exclusion, and sub-setting criteria and feature and model
selection for DH&I solutions.
Collaborate with data scientists to analyze and select appropriate data
models and algorithms across multiple operations/departments using diverse
data.
Coordinate with data engineering teams to extract and create data features
from large datasets for input into models.
Coordinate work with data scientists to define model validation
strategies, train, and tune models, and analyze and resolve errors in
models.
Lead model deployment to production.
Define and develop model monitoring and maintenance processes including
metrics to assess accuracy, drift, etc.
Lead and develop standards, processes, and best practices for the team
across the data science-based solution implementation lifecycle.
The Essentials – You Will Have:
Bachelor's Degree or equivalent years of relevant work experience
Ability to travel up to 20% as needed
The Preferred – You Might Also Have:
Typically requires 5+ years of relevant leadership experience.
Master's or higher in Computer Science, Business Analytics, Automation,
Informatics, Sustainability, Math, Statistics, or similar field.
Experience leading teams or projects in ML and Data Sciencie areas.
Prior experience as a Machine Learning Engineer, Data Engineer, Software
Engineer, or similar role.
Understanding of data structures, data modeling, and software
architecture.
Experience writing code in Python (opensource contributions or Kaggle
kernels).
Familiarity with Linux operating system.
Experience working with teams in an Agile setting.
Experience deploying a machine learning model to production on Azure,
Google, Amazon Web Services (AWS) or similar cloud technology service
suite.
Expeirence with Generative AI, LLMs, Prompt Engineering.
Hands-on experience using Databricks or Apache Spark (i.e., PySpark,
SparkR, or Scala) and understanding best practices.
Hands-on experience with multiple programming languages – Python, SQL,
Scala, R, Golang, C#, JavaScript, C/C++ or similar.
Proficiency in using and extending ML frameworks and libraries (e.g.,
TensorFlow, PyTorch, scikit-learn).
Experience with Vertex AI or AWS SageMaker stack.
Publications or conference presentations on topics in the machine learning
arena.
What We Offer:
Health Insurance including Medical, Dental and Vision
401k
Paid Time off
Parental and Caregiver Leave
Flexible Work Schedule where you will work with your manager to enjoy a
work schedule that fit with your personal life.
To learn more about our benefits package, please visit at
www. raquickfind.com.
The Base Salary Compensation range for this role is $128,720 – 193,080 with an
annual target bonus of 8% of base salary. Our company benefits for the US can
be found here. Actual pay will be based on factors such as skills, knowledge,
education, and experience.
This position is part of a job family. Experience will be the determining
factor for position level and compensation.
#LI-MG4
#LI-Remote
We are an Equal Opportunity Employer including disability and veterans.
If you are an individual with a disability and you need assistance or a
reasonable accommodation during the application process, please contact our
services team at +1 (844) 404-7247.
Rockwell Automation is currently accepting applications until
04/22/2024