OPENTEXT - THE INFORMATION COMPANY

OpenText is a global leader in information management, where innovation, creativity, and collaboration are the key components of our corporate culture. As a member of our team, you will have the opportunity to partner with the most highly regarded companies in the world, tackle complex issues, and contribute to projects that shape the future of digital transformation.

AI-First. Future-Driven. Human-Centered.

At OpenText, AI is at the heart of everything we do—powering innovation, transforming work, and empowering digital knowledge workers. We're hiring talent that AI can't replace to help us shape the future of information management. Join us.

Your Impact

We are seeking a seasoned Senior Data Engineer to lead the development of intelligent solutions that solve complex business challenges. You will own the full lifecycle of AI/ML projects—from raw data processing and feature engineering to model deployment and monitoring. With 6+ years of experience, you are expected to bring technical depth in Python, very good in data processing using spark/pyspark etc. Strong foundation in statistical modeling, and the ability to mentor junior team members.

What the role offers

End-to-End ML Pipelines: Big data processing, Design, develop, and deploy scalable machine learning models (Supervised, Unsupervised, and Deep Learning).

Advanced Data Processing: Architect robust data preprocessing workflows to handle large-scale structured and unstructured datasets, ensuring high data quality and integrity.

AI Innovation: Stay at the forefront of AI research (Generative AI, LLMs, NLP, or Computer Vision) and apply cutting-edge techniques to improve existing products.

Feature Engineering: Collaborate with Data Engineers to create reusable feature stores and optimize ETL/ELT processes for ML readiness.

Model Governance: Implement MLOps best practices, including model versioning (MLflow), experiment tracking, and monitoring for data drift and performance decay.

Strategic Leadership: Translate ambiguous business problems into technical roadmaps and present actionable insights to executive stakeholders.

What you need to succeed

Programming: Mastery of Python (Pandas, NumPy, Scikit-learn) and proficiency in SQL for complex data extraction.

Machine Learning: Deep expertise in classical ML (XGBoost, Random Forest) and Deep Learning frameworks (TensorFlow or PyTorch).

Data Engineering: Strong experience in data processing at scale (using PySpark, Dask, or specialized SQL window functions).

Deployment: Experience containerizing models with Docker/Kubernetes and deploying via APIs (FastAPI/Flask).

Cloud Platforms: Hands-on experience with AI/ML services in Azure (Azure ML), AWS (SageMaker), or GCP (Vertex AI).

One Last thing

Mentorship: Proven track record of guiding junior and mid-level Data Scientists through technical hurdles.

Analytical Storytelling: The ability to explain the "why" behind a model's prediction to non-technical business leaders.

Resilience: Comfort with the iterative nature of data science—knowing when to pivot an approach based on experiment results.

OpenText's efforts to build an inclusive work environment go beyond simply complying with applicable laws. Our Employment Equity and Diversity Policy provides direction on maintaining a working environment that is inclusive of everyone, regardless of culture, national origin, race, color, gender, gender identification, sexual orientation, family status, age, veteran status, disability, religion, or other basis protected by applicable laws.

If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please contact us at [email protected]. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.