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. Were hiring talent that AI cant replace to help us shape the future of information management. Join us.
YOUR IMPACT
We are seeking a seasoned
Data Engineer
with 6-8 years of experience
to lead the design and implementation of robust data pipelines, AI/ML-driven systems, and enterprise-ready data science solutions. The ideal candidate will have deep expertise in Generative AI
, Machine Learning
, and Python
, along with a proven track record of delivering scalable data projects in complex environments.
WHAT THE ROLE OFFERS
- Architect and deploy
enterprise-grade data pipelines
that integrate Generative AI
and Machine Learning models
to solve business problems. - Conduct research on the latest innovations in AI/ML and
quickly build proof-of-concepts (PoCs)
to validate new ideas. - Apply advanced
Data Science fundamentals
to ensure data quality, feature engineering, and model interpretability. - Design and optimize data infrastructure (batch/real-time) for performance, reliability, and scalability.
- Implement
MLOps practices
to automate model training, deployment, and monitoring. - Mentor junior engineers and drive best practices in coding, testing, and system design.
- Stay updated with emerging trends in AI/ML, data engineering, and cloud technologies.
WHAT YOU NEED TO SUCCEED
- 6-8 years of hands-on experience in data engineering, with a focus on enterprise-ready data science projects.
- Expertise in Generative AI tools/frameworks (e. g. AI Agentic frameworks) and their integration into production systems.
- Ability to research emerging AI/ML trends, rapidly develop proof-of-concepts (PoCs) & drive innovation.
- Strong foundation in Machine Learning (supervised/unsupervised learning, NLP, neural networks) and Data Science concepts (statistics, data modeling).
- Proficiency in Python and libraries (Pandas, NumPy, TensorFlow/PyTorch, scikit-learn).
- Prior experience in AI model deployment, fine-tuning, and optimization.
- Experience with programming best practices (OOP, version control, CI/CD) and distributed systems.
- Knowledge of cloud platforms (AWS/Azure/GCP)
- Strong analytical, problem-solving, and communication skills.
- Experience building microservices and orchestrating them via Docker/Kubernetes.
- Familiarity with MLOps tools (MLflow, Kubeflow) and monitoring frameworks.
- Background in the IT domain (e. g. , fintech, healthcare, e-commerce).
- Familiarity with APIs and real-time data processing frameworks.
- Good to have experience in Java programming.
OpenTexts 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 hr@opentext. com . Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenTexts vibrant workplace.