Machine Learning Engineer, Full-time

Job Description
Job Title: Machine Learning Engineer

Location:
Mississauga Employment Type: Full-time Reason for Vacancy: Replacement Work Arrangement: Hybrid Department Name: Application Delivery Department Pay Typed: Salaried Pay Range: $115,000
- $125,000 annually Please note that this is a general posting range and offer range will be varied based on relevant experience, qualifications, skills required and location for this role.

About Us
Express Scripts Canada (ESC) is the leader in health benefits management. Serving over 12 million members, we help insurance carriers, third party administrators, and the public sector optimize the value of health benefits by linking the talent and professional expertise of our people with leading edge information management systems and technology. Job Summary Express Scripts Canada is looking for a Machine Learning Engineer to join our Team. The successful candidate will design, build, and operate data pipelines and ML services that detect unusual patterns in healthcare claims and pharmacies. The role blends hands‑on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll ensure the best possible performance, quality, and responsiveness of the applications and pipelines, and help maintain code quality, organization, and automation. Design & implement ML data pipelines to ingest, engineer, and persist features from Oracle (SQLAlchemy/oracledb), including robust logging, argument‑driven CLI tools, and environment‑based configuration (.
Build and validate unsupervised ML models (e.g., Serve models as REST APIs (ie. Orchestrate end‑to‑end validation (DB → feature engineering → API scoring → curated outputs), writing curated results back to Oracle tables and creating/maintaining schemas and DDL where required. Collaborate with business teams to interpret clusters/risk buckets, explain top contributing features, and incorporate feedback loops into subsequent runs and outputs. Support deployment workflows in sandboxed/on‑prem environments; Jenkins/OpenShift pipelines) as part of model operationalization. Ensure performance, quality, and responsiveness of data pipelines and APIs; help maintain code quality, organization, and automation; perform code reviews and follow Agile ceremonies. Understand how AI is interpreting the data set and use that understanding to build prompt that lead to expected outcomes. Develop and maintain AI pipelines including data preprocessing, feature extractions, model training, and evaluation. 3–5 years of professional experience in data science / machine learning engineering with Python, including productionizing data pipelines or ML services. ~ Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related field (or equivalent practical experience). ~ Core programming (Python): Strong with NumPy, pandas, scikit‑learn, SciPy (sparse), joblib, CLI (argparse), and data visualization (matplotlib/seaborn). ~ Data engineering and Oracle: Writing performant SQL; ETL pipelines: Version control and CI/CD: Proficient with Git; familiarity with Jenkins/OpenShift pipelines and on‑prem deployment constraints. ~ Experience in Healthcare domain with exposure to Fraud, Waste, and Abuse detection in pharmacy/claims, risk scoring thresholds, and audit support artifacts considered a strong asset. ~ Experience with on‑prem, masked datasets and familiarity with Docker/OpenShift deployment patterns for ML APIs. Competitive compensation, benefits and pension plan Flexible work options and wellness programs All offers of employment are conditional upon the successful completion of reference checks and background verification in accordance with company policy. Within ESC, for certain positions, obtaining and maintaining a federal government security clearance is a bona fide occupational requirement. Candidates applying for such roles must meet all eligibility criteria for the applicable clearance level and consent to the security screening process as mandated by federal regulations. Our hiring process includes AI‑powered tools to conduct video interviews, take notes and score candidates; Cigna Corporation (NYSE: CI) is a global health service company dedicated to improving the health, wellbeing and peace of mind of those we serve. Cigna offers an integrated suite of health services through Cigna, Express Scripts, and our affiliates including medical, dental, behavioural health, pharmacy, vision, supplemental benefits, and other related products. We provide Active Pharmacyâ„
¢ services to more than 7 million Canadian patients and adjudicate more than 100 million pharmacy, dental, and extended health claims annually. Through our proprietary consumer intelligence, clinical expertise, and patients‑first approach, we promote better health decisions for plan members, while managing and reducing drug