Job Description

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 seasonedData 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 andquickly 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.

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 submit a ticket atAsk HR. Our proactive approach fosters collaboration, innovation, and personal growth, enriching OpenText's vibrant workplace.