Full-Stack Machine Learning Engineer

Full-Stack Machine Learning Engineer 
ABOUT ODAIA
 
ODAIA noun
o·da·ia | \ 'oh-day-yeah \
An Ancient Greek word referring to “tools of the trade.”
ODAIA is a remote first organization, all our positions are WFH with frequent company and team based socials, events and meetings in-person and virtually. 
ODAIA works with pharma commercial teams to grow their brands and engage with the right healthcare professionals (HCPs) at the right time. ODAIA's SaaS AI platform turns complex data into personalized insights, enabling commercial teams to understand their customers - (HCPs), predict prescribing behaviors and make informed decisions that bring therapies to patients faster.
ODAIAns (what we call ourselves) are inspired to reinvent the future of how non-technical people leverage data in their day-to-day lives. We are passionate about solving complex problems in data, AI, engineering, design, and product, so our customers don’t have to. We live by the notion that “simplicity is the ultimate sophistication;” and making simplicity scalable is an even bigger challenge. That’s why we have a crazy talented team led by serial entrepreneurs, tech veterans, and life sciences experts.
To learn more visit  odaia.ai.

OUR MISSION

Reducing patients’ time to therapy by facilitating meaningful interactions with healthcare providers, through human-centric software powered by AI. 

We’re also on a mission to build an innovative, diverse, and ego-free business, where trust, innovation and ownership are valued. You’re on a mission too? We’re here for it. We put an emphasis on career development for our employees, and the opportunities to grow are extensive. 

WHAT’S ON OFFER

Reporting to the Engineering Development Manager, we are seeking a  Full Stack Machine Learning Engineer who can bridge the gap between scalable ML infrastructure and intuitive user-facing applications. This is a highly cross-functional role that works closely with our Platform, and Product teams to bring ML-powered features into production and deliver measurable business value to our clients.

WHAT YOU WILL DO

• Architect scalable data pipelines and secure, cloud-native infrastructure to support real-time and batch ML workflows
• Rapidly prototype web applications and internal tools to test hypotheses and accelerate the productization of data-driven features
• Collaborate cross-functionally with product, engineering, and data science teams to identify impactful use cases and deliver measurable outcomes
• Translate complex machine learning and system design concepts into actionable insights for both technical and non-technical audiences
• Apply modern ML techniques, including transformer-based models, embedding systems, and retrieval methods, to solve real-world problems
• Contribute to a culture of engineering excellence through clean, testable code, thoughtful architecture, and strong documentation practices

WHAT YOU BRING

• 4+ years of experience delivering machine learning and software solutions in production environments, ideally in a full-stack or applied ML capacity
• Strong understanding of core ML principles, with practical experience developing and deploying models that drive product or business value
• Proven ability to go from idea to MVP using modern web frameworks and cloud platforms like AWS
• Experience with modern ML techniques, including NLP pipelines, transformer architectures, and scalable vector search or retrieval systems.
• Proficiency in Python and familiarity with key libraries and frameworks (e.g., scikit-learn, PyTorch, FastAPI, Dagster)
• Strong coding and engineering fundamentals, including version control, CI/CD, and infrastructure-as-code
• Excellent communication skills and a collaborative mindset to work effectively with cross-functional teams
• Bonus: Experience working in GenAI, NLP, or building intelligent features within SaaS or B2B products

WHAT WE OFFER

• A strong, positive values based culture, we Ignite Innovation, Own It and Stand Together
• Medical & dental benefits - with immediate enrollment for full-time, permanent employees
• Flexible working hours, focusing on what we achieve and not the number of hours we clock
• Flexible time off policies 
• Stock option grants

LOCATION

We are a remote first company with employees in both Canada and the US.  Our office hub is located downtown Toronto.  Team building, communication and social connectivity are important and we support this with virtual and in-person collaborative work sessions, team meetings and socials.

EMPLOYMENT VERIFICATION

Any conditional offer of employment made to a successful candidate will be subject to the full satisfaction with the results of any background and reference checks.

DIVERSITY, EQUITY & INCLUSION
ODAIA is an equal opportunity employer. We are committed to building an environment where everyone feels included, valued, respected and heard. We are committed to creating a diverse workplace, and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, disability status or any other characteristics protected by local laws, regulations or ordinances. 

ACCOMMODATIONS AND ACCESSIBILITY
Accommodations are available upon request. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at [email protected].