Machine Learning Operations Engineer at Teksystems Global Services LLC

Ottawa, Ontario, Canada -

Full Time

Start Date

Immediate

Expiry Date

26 Feb, 26

Salary

95.0

Posted On

28 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, Machine Learning, Data Modeling, Databricks, Streamlit, CI/CD, Data Engineering, NLP, Azure ML, Apache Airflow, Git, MLflow, Cloud Security, Compliance, Data Governance

Industry

IT Services and IT Consulting

Description

Description TEKsystems has been supporting our client since early 2025 in the development and build of a product that enables customers to activate and reach highly qualified consumer audiences across the healthcare journey and various conditions from chronic illnesses to rare diseases. This product/solution went live earlier in the year and they are now looking to add more capabilities, functions and continue to automate. The link below explains a little more about the product on our customers website https://www.iqviadigital.com/solutions/consumer-audiences . We are seeking a proactive and skilled MLOps Engineer with hands-on experience in Databricks to join our team. This role is critical in enabling seamless deployment, monitoring, and scaling of machine learning models. The ideal candidate will bring strong Python programming skills, familiarity with frameworks like Streamlit, and experience with Databricks Apps. This hands-on position involves working closely with data scientists, engineers, and stakeholders on innovative and impactful projects. Key Responsibilities - Design, build, and maintain MLOps pipelines for model deployment, monitoring, and lifecycle management. - Migrate machine learning workflows and models from Cloudera Machine Learning (CML) to Databricks. - Develop and optimize Databricks environments for data ingestion, model training, and real-time serving. - Leverage Streamlit to create intuitive interfaces for ML models and workflows. - Automate data preprocessing, feature engineering, model experimentation, and deployment processes. - Implement and manage CI/CD pipelines tailored for machine learning workflows. - Monitor model performance and data drift, ensuring quality and reliability in production systems. - Collaborate with data scientists to transform prototypes into scalable production systems. - Manage Databricks clusters and infrastructure resources to ensure cost-efficiency and availability. - Establish systems for automated logging, performance tracking, and alerting. - Document processes, workflows, and best practices to drive operational excellence. Required Skills and Qualifications - Strong expertise in Python programming for machine learning and data processing. - Familiarity with the Streamlit framework for building user-friendly ML applications. - Proven experience with Databricks Apps and environments for ML workflows. - Hands-on experience migrating systems from Cloudera Machine Learning (CML) to alternative platforms. - Experience with Azure ML and storage related services. - Familiarity with CI/CD tools like GitLab CI. - Knowledge of data pipeline tools (e.g., Apache Airflow) and data governance practices. - Solid understanding of version control (Git) and ML model versioning tools (e.g., MLflow). - Strong problem-solving skills and ability to thrive in a fast-paced environment. Preferred Skills - Familiarity with compliance frameworks for AI systems (e.g., GDPR, HIPAA). Skills Python, machine learning, data modeling Top Skills Details Python, machine learning, data modeling Additional Skills & Qualifications 1. Natural Language Processing (NLP). Useful for potential future roadmap items involving language models. 2. Data Engineering Tools & Practices. Knowledge of ETL processes, data modeling, and pipeline optimization. 3. Cloud Security & Compliance Awareness. Important in healthcare/pharma contexts for data privacy and regulatory compliance. Experience Level Expert level Job Type & Location This is a Contract position based out of Ottawa, ON. Pay and Benefits The pay range for this position is $85.00 - $95.00/hr. Workplace Type This is a fully remote position. À propos de TEKsystems et TEKsystems Global Services Nous sommes un fournisseur de services aux entreprises et de technologies. Nous accélérons la transformation de nos clients. Notre compétence en stratégie, conception, exécution et opérations libère la valeur de l’entreprise par un éventail de solutions. Nous sommes une équipe de 80 000 personnes qui collaborent avec plus de 60 000 clients, notamment 80 % du Fortune 500 en Amérique du Nord, Europe et Asie, qui collaborent avec nous dans le cadre de nos capacités full-stack et notre rythme. Nous sommes des penseurs stratégiques, des collaborateurs pratiques qui aident les clients à exploiter le changement et maîtriser le dynamisme de la technologie. Nous bâtissons le futur en livrant les résultats et en créant un impact positif dans nos communautés mondiales. TEKsystems et TEKsystems Global Services sont des entreprises d’Allegis Group. Découvrez d’autres informations à TEKsystems.com. About TEKsystems and TEKsystems Global Services We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

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Responsibilities

The MLOps Engineer will design, build, and maintain MLOps pipelines for model deployment and monitoring. They will collaborate with data scientists to transform prototypes into scalable production systems.