{"id":1141011,"url":"https://alion.io/job/aviva-canada-intermediate-machine-learning-engineer","title":"Intermediate Machine Learning Engineer","company":{"id":1074183,"name":"Aviva Canada","domain":"aviva.ca","url":"https://alion.io/company/aviva-ca","size_band":"201-500","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":null},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Markham, Canada"],"countries":["CA"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":90000,"max":115000,"currency":"USD","period":"year","gross":null,"usd_annual":115000},"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"Jenkins","optional":false},{"name":"Linux","optional":false},{"name":"Machine Learning","optional":false},{"name":"MLFlow","optional":false},{"name":"NumPy","optional":false},{"name":"Pandas","optional":false},{"name":"Python","optional":false},{"name":"Scikit-learn","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"XGBoost","optional":false},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-09-08T00:00:00Z","employer_posted_date":"2026-09-08","last_verified_at":"2026-09-23T23:51:15Z","board_verified":true,"closed_at":null,"days_open":16,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":16},"description":"Experience Aviva\nTogether, we are Aviva. Our values - Care, Commitment, Community, and Confidence - guide how we show up for each other and for our customers. Individually, they’re words. Together, they define who we are.\nAtAviva Canada, we put people first, our employees, our customers, and our communities. We’re proud of a culture built on care, inclusion, and collaboration, where your voice matters and your growth is supported. We’re not just about insurance; we’re about making a real difference by protecting what matters most.\nThe Opportunity\nWe are looking for a talented and motivated Intermediate Machine Learning Engineer to join ourAI/ML Operations & Platform team. The ideal candidate will have hands-on experience in building and deploying machine learning solutions, with an understanding of cloud technologies and data platforms. You will work closely with ML engineers, data scientists, and product teams to support the development and operationalization of ML models across the organization.\nWhat you’ll do:\nAssist in designing and implementing ML pipelines and services in cloud and on-premise environments.\n\nCollaborate with cross-functional teams to gather requirements and contribute to scalable ML solutions.\n\nSupport model deployment, monitoring, and performance optimization.\n\nApply MLOps practices such as CI/CD, model versioning, and retraining workflows.\n\nWork with Snowflake and AWS services to support ML model deployment.\n\nContribute to the development and maintenance of on-premise ML workflows.\n\nEnsure adherence to data privacy, security, and compliance standards.\n\nParticipate in code reviews and knowledge sharing within the team.\n\nWhat you’ll bring:\nBachelor’s degree in Computer Science, Data Science, Engineering, or a related field.\n\n2-4 years of experience in machine learning engineering or related roles.\n\nProficiency in Python, along with data processing and ML libraries (e.g., Pandas, NumPy, scikit-learn, XGBoost).\n\nFamiliarity with AWS and/or Snowflake cloud services, as well as Linux-based systems.\n\nBasic experience with Jenkins and containerization tools such as Docker.\n\nStrong SQL skills, including an understanding of query optimization techniques.\n\nExposure to ML workflow tools (e.g., MLflow, Airflow) and monitoring frameworks is a plus.\n\nStrong analytical and problem-solving abilities.\n\nWhat makes you stand out:\nExperience with Apache Spark and Snowpark for scalable data processing.\n\nExposure to cloud platforms (e.g., AWS, Snowflake, Azure, GCP).\n\nWhat you’ll get:\nThesalary band for this position ranges from $90,000 to $115,000. Please note that individual salary is determined by factors such as job-related knowledge, skills and experience, as well as internal equity.\n\nCompelling rewards package including base compensation, eligibility for annual bonus, retirement savings, share plan, health benefits, personal wellness, and volunteer opportunities.\n\nHybrid flexible work model.\n\nOutstanding career development opportunities.\n\nWe’ll support your professional development education.\n\nCompetitive vacation package with the option to purchase 5 extra days off per year.\n\nEmployee-driven programs focused on gender, LGBTQ+, origins, diversity, and inclusion.\n\nCorporate wellness programs to support our employees’ physical and mental health.\n\nEmployee discount on home and auto insurance (where applicable).\n\nThis job advertisement is for an existing vacancy which has been posted both internally & externally.\nAviva Canada may use AI (Artificial Intelligence) tools to assist us throughout the recruitment process to screen, assess or select applicants for a position.\nAviva Canada has an accommodation process in place to provide accommodations for employees with disabilities. If upon commencement of employment you require a specific accommodation because of a disability, please contact your Talent Acquisition Partner so that an appropriate accommodation can be arranged. This process applies throughout your career with Aviva Canada.","description_format":"text","description_chars":4009,"description_truncated":false,"requirements":{"experience_years_min":2,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":["Equity","Flexible schedule","Professional development","Retirement plans","Wellness"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Financial Services","LLM & Generative AI","Insurance"],"lifecycle":[{"event":"open","at":"2026-09-23T11:22:22Z"}],"liveness":{"score":72,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.802,"p_room":0.9,"age_days":16,"expected_fill_days":44,"reasons":["conf:3","win:mid"],"computed_at":"2026-09-24T03:14:38Z"},"pay":{"stated_usd_annual":115000,"is_top_pay":false},"html_url":"https://alion.io/job/aviva-canada-intermediate-machine-learning-engineer","json_url":"https://alion.io/job/aviva-canada-intermediate-machine-learning-engineer.json","meta":{"generated_at":"2026-09-24T03:14:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}