Full-Stack Machine Learning Engineer

fully flexible
Remote: 
Full Remote
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Offer summary

Qualifications:

4+ years of experience in machine learning and software development., Strong foundation in pipeline engineering and full-stack product delivery., Proficiency in Python and related technologies, with a solid grasp of software engineering principles., Deep familiarity with Large Language Models and advanced ML concepts..

Key responsabilities:

  • Lead the development and integration of Large Language Models into core products.
  • Architect and manage data pipelines and secure AWS infrastructures for scalable AI applications.
  • Develop web applications and prototypes to iterate on new ideas and ensure product viability.
  • Collaborate with diverse teams to identify AI opportunities that drive business value.

ODAIA logo
ODAIA Scaleup https://www.odaia.ai/
51 - 200 Employees
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Job description

Full Stack, Machine Learning Engineer 

Full-Time / Permanent 

ABOUT ODAIA

ODAIA noun
o·da·ia | 'oh-day-yeah
An Ancient Greek word referring to “tools of the trade.”

You can also find more information about the company and our products at odaia.ai.
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's AI helps the world’s largest pharma commercial teams grow their brands by engaging HCPs at the right time—when they need information to make treatment decisions.
We use proprietary machine learning (ML) and large language models (LLMs) to help teams understand their customers—healthcare professionals (HCPs)—and predict prescribing behaviors.

Our SaaS platform turns complex data into personalized insights, helping pharma teams 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.

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

Join a rapidly growing team in a technically challenging and rewarding role! Reporting to the Machine Learning Data Scientist Development Manager, the Full Stack Machine Learning Engineer – LLM is passionate about designing, building, and deploying innovative AI solutions from concept to production. In this role, you will be responsible not only for cutting-edge machine learning and LLM work but also for architecting robust data pipelines and web application MVPs, including secure AWS orchestration.


WHAT YOU WILL DO
  • End-to-End AI Development: Lead the development and seamless integration of Large Language Models (LLMs) into our core products, such as Maptual Field & Maptual Sphere
  • Full-Stack Pipeline Engineering: Architect, build, and manage data pipelines and secure cloud-based (AWS) infrastructures that support scalable AI applications
  • Rapid Prototyping & MVP Creation: Develop web applications and prototypes to quickly iterate on new ideas, ensuring that innovative concepts translate into viable products
  • Cross-Functional Collaboration: Work closely with diverse teams to identify opportunities where AI can solve complex problems and drive business value.
  • Concept Simplification: Translate complex LLM, NLP, and software engineering concepts into clear, actionable insights for nontechnical stakeholders
  • Innovation in AI and Software: Combine your software development experience with your machine learning expertise to drive novel approaches, including prompt engineering, retrieval augmented generation (RAG), and transformer-based architectures

WHAT YOU BRING
  • Proven Engineering Background: 4+ years of experience in roles focused on machine learning and software development, with a strong foundation in pipeline engineering and full-stack product delivery
  • Solid Understanding of Machine Learning Principles: Deep familiarity with fundamental ML concepts and best practices, enabling you to translate theory into robust, production-level solutions
  • Full-Stack Skill Set: Demonstrated ability to take an idea from concept to MVP using modern web frameworks and AWS-based infrastructure, ensuring robust, secure, and scalable deployments
  • Advanced ML & LLM Knowledge: Up-to-date experience with Large Language Models, including practical skills in prompt engineering, RAG techniques, and transformer architectures.
  • Technical Expertise: Proficiency in Python and related technologies, with a strong grasp of software engineering principles to deliver efficient, clean, and maintainable code
  • Collaborative Communication: Exceptional ability to articulate technical concepts in accessible language to both technical and nontechnical audiences
  • Creative Problem-Solving: A self-starter attitude with a track record of innovative thinking and practical execution in complex, evolving technical environments
  • Team-Centric Mindset: A commitment to working in a diverse and inclusive team, where collaboration, respect, and trust are paramount.

WHAT WE OFFER
  • A strong values based culture, we Ignite Innovation, Own It and Stand Together
  • Tremendous growth and unique learning opportunities
  • A large amount of ownership and autonomy for managing things directly
  • No waiting period for medical and dental benefits enrollment 
  • Flexible working hours, focusing on what we achieve and not the number of hours we clock
  • An open and flexible vacation policy
  • Stock option grants
  • Career development opportunities, and a solid business model - we’re in it for the long haul!
  • If you think you may not check every box, don’t worry, we would love to see your resume anyway! Odaians are at core a group of great and talented people, eager to learn, take ownership, and turn ambitious ideas into reality.

LOCATION

We are a remote first company with an office hub located in Toronto, supporting team building and social connectivity 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.

ACCOMMODATIONS AND ACCESSIBILITY

Accommodations are available on request for candidates with disabilities taking part in all aspects of our hiring process. For more on this, you can inquire about accommodations if you're invited to an interview.

DIVERSITY, EQUITY & INCLUSION

As an equal opportunity employer, ODAIA is committed to creating an environment that respects diversity and inclusion. ODAIA does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

At ODAIA, we are committed to building an environment where everyone feels included, valued, and heard. We are committed to creating a diverse workplace, and are an equal opportunity employer who does not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, parental status, veteran status, or disability status.

We strongly encourage applications from Indigenous Peoples, racialized people, people with disabilities, people from gender and sexually diverse communities and/or people with inters
 

Required profile

Experience

Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Teamwork
  • Collaboration
  • Communication
  • Problem Solving

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