About this AI Cloud Data Engineer role at Altera
Job Details:
Job Description:
Altera is seeking a talented and driven AI Data Engineer to design, develop, and deploy AI-powered applications, data platforms, and machine learning solutions that transform data into actionable intelligence. In this role, you will build scalable data and AI systems, develop advanced analytics and machine learning models, and create intelligent applications that enable data-driven decision-making across the organization. You will work closely with engineers, product teams, and business stakeholders to deliver innovative AI solutions from concept to production.
Job Responsibilities
- Design, develop, and optimize AI-powered applications, data pipelines, and scalable cloud-based data platforms.
- Build and deploy machine learning, deep learning, and Generative AI solutions to solve complex business and engineering challenges.
- Develop algorithms, predictive models, and analytical frameworks that transform structured and unstructured data into actionable insights.
- Create and maintain RAG systems, vector databases, AI agents, and intelligent search solutions to enhance knowledge discovery and automation.
- Conduct large-scale experimentation, model evaluation, and performance benchmarking to improve AI solution effectiveness and reliability.
- Explore, acquire, process, and integrate data from diverse sources while ensuring data quality, integrity, and governance.
- Analyze datasets to identify trends, patterns, anomalies, and opportunities, implementing corrective actions where necessary.
- Develop dashboards, visualizations, reports, and data-driven applications that effectively communicate insights to technical and business audiences.
- Collaborate with software engineers, data scientists, and product teams to ensure AI models and analytics solutions are scalable, maintainable, and production-ready.
- Build and maintain AI/ML training, inference, and deployment pipelines using modern MLOps and cloud-native practices.
- Establish and promote best practices for data engineering, machine learning, experimentation, coding standards, and model governance.
- Support troubleshooting, monitoring, and optimization of AI and analytics platforms using commercial and custom-built tools.
- Evaluate emerging AI, machine learning, and data technologies to drive innovation and improve platform capabilities.
- Contribute to research, prototyping, and development efforts related to AI, machine learning, and advanced analytics initiatives
Our compensation is designed to reflect the Canadian labour market. The actual salary offered may vary based on several factors, including the position’s location, as well as the candidate’s experience, skills, training, and job-specific knowledge. In addition to base salary, we offer performance-based incentive opportunities that reward both individual contributions and overall company success.
Estimated Salary Range: $110K – $120K CAD
We use artificial intelligence to screen, assess, or select applicants for the position. This posting is for an existing vacancy. Canadian work experience is not required for this role. Applicants must be eligible for any required Canada export authorizations.
Qualifications:
- The candidate must have a Bachelor's or Master's Degree in Computer Science, Artificial Intelligence, Cybersecurity, Software Engineering, or a related field.
- Strong programming skills in Python and experience developing production software applications.
- 1+ years' experience with machine learning, deep learning, Generative AI, and large language models (LLMs).
- Familiarity with AI frameworks such as PyTorch, TensorFlow, LangChain, Semantic Kernel, or similar technologies.
- Experience with cloud platforms such as Azure, AWS, or Google Cloud.
- Knowledge of data engineering concepts, ETL/ELT pipelines, data warehousing, and distributed data processing.
- Experience with MLOps, model deployment, CI/CD, containers, and Kubernetes.
- Strong analytical, problem-solving, and communication skills.
- Ability to work cross-functionally and translate business requirements into technic
