Senior Machine Learning Engineer (Reinforcement Learning)

Shape the Future of AI & Data with Us

At Datatonic we are Google Clouds premier partner in AI driving transformation for world-class businesses. We push the boundaries of technology with expertise in machine learning data engineering and analytics on Google Cloud Platform. By partnering with us clients future-proof their operations unlock actionable insights and stay ahead of the curve in a rapidly evolving world.

Your Mission

As an Reinforcement Learning focused Senior Machine Learning Engineer youll know how to engineer beautiful code in Python and take pride in what you produce. Youll be an advocate of high-quality engineering and best-practice in production software as well as rapid prototypes.

Whilst the position is a hands-on technical role wed be particularly interested to find candidates with a desire to lead projects and take an active role in leading client discussions. Your responsibilities will involve building trusted relationships with prospects finding creative ways to use machine learning to solve problems scoping projects and overseeing the delivery of these engagements.

To be successful you will need strong ML & Data Science fundamentals with a focus on using and implementing Reinforcement learning on real-world applications . You will know the right tools and approach for an RL or ML use case. Youll be comfortable with model optimization and deployment tools and practices. Furthermore youll also need excellent communication and consulting skills with the desire to meet real business needs and deliver innovative solutions using AI & Cloud.

What Youll Do

Develop Solutions with Reinforcement Learning at a large scale.

Design and deploy RL solutions from data selection model training to productionization.

Translate Requirements : Interpret vague requirements and develop models to solve real-world problems.

Data Science : Conduct ML experiments using programming languages with machine learning libraries.

Optimisation : Optimise ML / RL solutions for performance and scalability.

Custom Code : Implement tailored ML / RL code to meet specific needs.

RL Architecture Design : Create reinforcement learning architectures using Google Cloud tools and services.

(Bonus!) Data Engineering : Ensure efficient data flow between databases and backend systems.

(Bonus!) MLOps : Automate ML workflows focusing on testing reproducibility and feature / metadata storage.

(Bonus!) Engineering Software for Production : Build and deploy production-grade software for machine learning and data-driven solutions.

What Youll Bring

Multiple years experience as a Machine Learning Engineer specifically using Reinforcement Learning.

Prior work on designing and implementing RL algorithms on real world projects (using non-dummy data).

Experience with data requirements for RL algorithms (quantity type and schemas)

A strong understanding of the training procedure and timelines for RL

Experience with selecting and adapting existing RL models for novel solutions (e.g. SAC DQN PPO etc.)

Familiarity with developing RL algorithms using open source ML libraries (preferably python-based e.g. pytorch or tensorflow)

Ideally experience with distributed RL libraries (e.g. Ray RLLib)

Experience with RL in conjunction with a Computer Vision application or using Computer Vision Data

Proficiency in Python as a backend language capable of delivering production-ready code in well-tested CI / CD pipelines.

Bonus Points If You Have :

Cloud Expertise : Familiarity with cloud platforms such as Google Cloud AWS or Azure.

Software Engineering : Hands-on experience with foundational software engineering practices.

ML Integration : Familiarity with exposing machine learning components through web services or wrappers (e.g. Flask in Python).

Soft Skills : Strong communication and presentation skills to effectively convey technical concepts.

Scale-up experience.

Cloud certifications (Google Cloud Professional Machine Learning Engineer AWS Solution Architect etc.).

Whats in It for You

We believe in empowering our team to thrive with benefits including :

20 days of paid vacation per calendar year

Public Holidays for your Province of Residence

5 Wellness days (sickness personal time mental health)

5 Lifestyle days (religious events volunteer day sick day)

Matching Group Retirement Savings Plan after 3 months

Competitive Group Insurance plan on Day 1 - individual premium paid 100%!

Virtual Medicine and Family Assistance Program - 100% employer-paid!

Home office budget - We are 100% remote!

CAD $70 / month for internet / phone expenses

CAD $1500 every 3 years for tech accessories and office equipment (monitor keyboard mouse desk etc.) starting on Day 1

Company-supplied MacBook Pro or Air

CAD $400 / year for books relevant app subscriptions or an e-reader.

Opportunities for paid certifications

Opportunities for professional and personal learning through Udemy Business

Regular company off-sites and meetups

Why Datatonic

Datatonic is a UK-based company with an Americas division located in Canada. The Canadian team operates remotely with members distributed across North and South America. This role is open to candidates located anywhere in Canada.

Join us to work alongside AI enthusiasts and data experts who are shaping tomorrow. At Datatonic innovation isnt just encouraged - its embedded in everything we do. If youre ready to inspire change and deliver value at the forefront of data and AI wed love to hear from you!

Are you ready to make an impact

Apply now and take your career to the next level.

Required Experience :

Senior IC

Key Skills

Aerospace Engineering,Data Entry,Business Management,Flexcube,Contract

Employment Type : Full-Time

Experience : years

Vacancy : 1