Machine Learning Engineer
ODAIACanada1 day ago
Full-timeRemote FriendlyInformation Technology
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About The Company
ODAIA is a forward-thinking, remote-first organization dedicated to transforming the pharmaceutical and healthcare industry through innovative artificial intelligence solutions. Our SaaS platform leverages advanced machine learning and data analytics to empower pharma commercial teams in understanding and engaging with healthcare professionals effectively. By converting complex data into personalized insights, we enable our clients to make informed decisions, accelerate therapy delivery, and improve patient outcomes. Our team, known as ODAIAns, is composed of passionate experts across data science, engineering, product development, and life sciences, committed to solving challenging problems with simplicity and scalability.
As a company, we prioritize a culture of trust, innovation, ownership, and diversity. We believe in fostering an inclusive environment where every team member can grow professionally and contribute meaningfully to our mission of reducing patients’ time to therapy through human-centric AI-powered solutions. Our organization is fully remote, with regular virtual and in-person social events, promoting collaboration and community across North America.
About The Role
We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. In this role, you will lead the development, deployment, and continuous improvement of sophisticated machine learning models that directly impact our product offerings and customer value. Reporting to the Senior Engineering Development Manager, you will collaborate closely with data engineers, product managers, and other stakeholders to design scalable ML pipelines, experiment with novel algorithms, and deliver robust predictive solutions. Your work will be instrumental in advancing ODAIA’s AI capabilities, ensuring our platform remains at the forefront of innovation in healthcare analytics.
The ideal candidate is passionate about applying cutting-edge ML research to solve real-world problems, possesses strong software engineering practices, and thrives in a collaborative, fast-paced environment. You will have the opportunity to contribute to a mission-driven organization committed to making a tangible difference in patient care and healthcare provider engagement.
Qualifications
ODAIA is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are treated with respect and dignity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected characteristic under applicable laws. We actively seek to build a diverse workforce and encourage candidates from all backgrounds to apply.
ODAIA is a forward-thinking, remote-first organization dedicated to transforming the pharmaceutical and healthcare industry through innovative artificial intelligence solutions. Our SaaS platform leverages advanced machine learning and data analytics to empower pharma commercial teams in understanding and engaging with healthcare professionals effectively. By converting complex data into personalized insights, we enable our clients to make informed decisions, accelerate therapy delivery, and improve patient outcomes. Our team, known as ODAIAns, is composed of passionate experts across data science, engineering, product development, and life sciences, committed to solving challenging problems with simplicity and scalability.
As a company, we prioritize a culture of trust, innovation, ownership, and diversity. We believe in fostering an inclusive environment where every team member can grow professionally and contribute meaningfully to our mission of reducing patients’ time to therapy through human-centric AI-powered solutions. Our organization is fully remote, with regular virtual and in-person social events, promoting collaboration and community across North America.
About The Role
We are seeking a highly skilled Machine Learning Engineer to join our dynamic team. In this role, you will lead the development, deployment, and continuous improvement of sophisticated machine learning models that directly impact our product offerings and customer value. Reporting to the Senior Engineering Development Manager, you will collaborate closely with data engineers, product managers, and other stakeholders to design scalable ML pipelines, experiment with novel algorithms, and deliver robust predictive solutions. Your work will be instrumental in advancing ODAIA’s AI capabilities, ensuring our platform remains at the forefront of innovation in healthcare analytics.
The ideal candidate is passionate about applying cutting-edge ML research to solve real-world problems, possesses strong software engineering practices, and thrives in a collaborative, fast-paced environment. You will have the opportunity to contribute to a mission-driven organization committed to making a tangible difference in patient care and healthcare provider engagement.
Qualifications
- Professional experience in developing, deploying, and monitoring advanced machine learning models in production environments
- Strong proficiency in Python, including libraries such as NumPy, Scikit-learn, XGBoost, and PyTorch
- Experience with cloud-based ML platforms (AWS, Azure, GCP) and containerized compute environments
- Hands-on experience with workflow orchestration tools like Dagster and container orchestration platforms such as Kubernetes
- Proficiency in SQL and familiarity with modern data science tools and databases like DuckDB
- Solid understanding of statistical validation, experimental design, hypothesis testing, and model evaluation metrics
- Experience designing scalable ML pipelines for large datasets and real-time analytics
- Excellent communication skills, capable of translating complex models into clear insights for diverse audiences
- Demonstrated ability to work collaboratively in cross-functional teams and contribute to a culture of innovation
- A portfolio or GitHub profile showcasing relevant projects, research, or contributions is preferred
- Degree in Computer Science, Data Science, Statistics, or a related field is desirable
- Develop, implement, and optimize advanced machine learning models, including predictive modeling, time-series analysis, causal inference, and hierarchical models
- Design and build scalable, efficient ML pipelines using Python, SQL, Dagster, and Kubernetes to support robust deployment and data workflows
- Evaluate model performance rigorously using statistical validation methods, and iteratively enhance model accuracy and robustness
- Manage the entire ML system lifecycle—from problem definition and exploratory data analysis to deployment, monitoring, and maintenance
- Collaborate with data engineers and product teams to integrate ML solutions seamlessly into our SaaS platform
- Communicate complex analytical results and modeling concepts clearly to both technical and non-technical stakeholders
- Stay abreast of the latest research and advancements in machine learning and statistical methodologies, integrating relevant innovations into our frameworks
- Foster a culture of knowledge sharing, technical excellence, and continuous learning across teams
- Contribute to the development of best practices for scalable AI solutions and data-driven decision-making
- Comprehensive medical and dental benefits with immediate enrollment for full-time employees
- Flexible working hours to promote work-life balance
- Generous flexible time-off policies to support personal and professional growth
- Remote-first work environment with opportunities for virtual and in-person team building events
- Competitive salary package with potential for stock options and performance-based bonuses
- Ongoing professional development opportunities and a culture that values innovation and ownership
ODAIA is an equal opportunity employer committed to fostering an inclusive environment where all employees and applicants are treated with respect and dignity. We do not discriminate based on race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, disability, or any other protected characteristic under applicable laws. We actively seek to build a diverse workforce and encourage candidates from all backgrounds to apply.
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