AI/Machine Learning Engineer, Modus Create

Salary not provided

SQL

AWS

Python

Scala

Java

Kafka

Bash

Airflow

Tensorflow

Terraform

Rust

Spark

PyTorch

Sagemaker

Git

Senior level

Remote from Canada, Europe, UK, US

More information about location

Digital product engineering partner for forward-thinking businesses

Job no longer available

Digital product engineering partner for forward-thinking businesses

201-500 employees

B2BEnterpriseConsultingProduct ManagementAutomation

Job no longer available

Salary not provided

SQL

AWS

Python

Scala

Java

Kafka

Bash

Airflow

Tensorflow

Terraform

Rust

Spark

PyTorch

Sagemaker

Git

Senior level

Remote from Canada, Europe, UK, US

More information about location

201-500 employees

B2BEnterpriseConsultingProduct ManagementAutomation

Company mission

To partner with companies building for tomorrow and leading in the digital age.

Job

Company

Role

Who you are

Experience Level: Senior
You are a well-rounded, self-starting data engineer with experience in cloud data platforms who has worked in AI / machine learning
Ideally you have experience deploying large language models (LLMs) in the cloud and with basic techniques for tailoring them such as prompt engineering and retrieval-augmented generation (RAG)
A background in data science fundamentals will be helpful, as well as familiarity with cloud services for machine learning, text extraction, speech recognition, etc
You should also be comfortable with presenting work in these technical areas to an audience
Proficiency in Python is a must
Experience with other programming languages like Java, Scala, Rust or R is highly desirable, as it will enable you to work on a broader range of engagements
Finally, you’ll work side by side with cloud architects, DevOps specialists and front-end developers, so some knowledge and experience in any of these would help in collaboration
LLM deployment: familiarity with an LLM framework (e.g. LangChain), evaluation libraries and cloud deployment
Cloud AI services: experience with some of SageMaker, Bedrock, Rekognition, etc. or equivalents on other platforms
Machine learning frameworks: familiarity with frameworks like TensorFlow or PyTorch is a plus
Cloud platforms: solid experience with at least one major cloud provider (AWS preferred); infrastructure as code (e.g., Terraform) is a plus
Version control: Git, GitHub/GitLab; DevOps and CI/CD experience is a plus
Programming and scripting languages: Python, Bash; knowledge of other languages is a big plus
Data storage and querying: SQL and NoSQL databases
Data pipelines: Experience with processing / orchestration tools such as Airflow, Spark, Kafka, Nextflow, etc. would be highly appreciated
You love learning and understand that software is an ever-evolving world. You enjoy playing with new tech and exploring areas that you might not have experience with yet. You are self-driven, self-learner willing to share knowledge and participate actively in your community
Above all, AI is a rapidly-evolving field so the interest and ability to learn are highly valued in addition to experience
In addition, reliable high speed internet is a must

What the job involves

We are looking for an AI/Machine Learning Engineer to join the team at Modus Create
You should be capable of proposing a solution to a given customer problem
You will be working on design and implementation for applications built around Generative AI, but possibly also on other AI, machine learning, and data-centric projects

Our take

Modus Create is a digital transformation firm that delivers digital strategy, product development, platform modernization and digital operations services. Essentially, it works with clients to assess and improve their digital transformation roadmaps so they can better optimize operations and enhance revenue.

The company's comprehensive suite of services includes but is not limited to security auditing, agile product development, cloud migration and business process automation. This all-in-one approach is attractive to enterprise clients and enables Modus Create to serve the likes of Toyota, Sephora and Adidas.

With an established presence in the space, its expected that Modus Create will continue its path of success for the foreseeable future. It has earned a number of industry accolades, and so far proved its staying power as a trusted transformation partner.

Steph

Company Specialist at Welcome to the Jungle

Company

Company HQ

Hunter Mill District, Reston, VA

Leadership

Sharon Lynch

(CEO)

Prior to joining Modus Create in 2025, Sharon spent nearly 12 years at Slalom as a GM of Slalom Build North America. She was also a Manager at Accenture for nearly 8 years.

Benjamin Robin

(COO & CFO)

Prior to joining Modus Create in 2022, Benjamin spent 7 years at Tweag as CFO and GM. He also served as the Head of Finance, Tax & Administration at EDP Renewables France & Belgium, and as a Finance & Accounting Manager at Salt Mobile.

Kevin McClelland

(CGO)

Alongside Modus Create, Kevin is a Visiting Lecturer of Marketing/Management at the University of Washington. Previously, he spent nearly 12 years at Slalom, holding various roles, including Executive Lead of Slalom AI.

Jon Allegre

(CCO)

Prior to joining Modus Create in 20245, Jon spent nearly 15 years at Slalom. He joined Slalom in 2010 as a Practice Area Director before moving into the Role of Managing Director in 2019, a role he held until leaving the company in 2025.

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