At a Glance
- Tasks: Design and develop scalable ML pipelines using Azure Databricks.
- Company: Join a forward-thinking tech company leading in AI innovation.
- Benefits: Attractive salary, flexible work options, and growth opportunities.
- Other info: Collaborative team environment with exciting projects and career advancement.
- Why this job: Be at the forefront of AI/ML technology and make a real difference.
- Qualifications: 2+ years in AI/ML engineering with Azure Databricks expertise.
The predicted salary is between 108000 - 132000 $ per year.
Design, develop, and maintain scalable and robust machine learning pipelines on Azure Databricks.
Implement and optimize ML workflows, including data ingestion, feature engineering, model training, evaluation, and deployment.
Utilize Azure Machine Learning (Azure ML) services for model management, experimentation, and MLOps best practices (e. g., MLflow).
Develop and deploy Large Language Models (LLMs) and Generative AI (Gen AI) solutions on Databricks, including RAG architectures and fine-tuning.
Work with Py Spark, Python, and SQL for data processing, analysis, and model development.
Monitor and troubleshoot deployed models, ensuring data quality, model performance, and detecting drift.
Required Skills & Qualifications
2+ years of hands-on experience in AI/ML engineering, with a strong focus on MLOps and cloud-based deployments.
Proven expertise with Azure Databricks and its ecosystem (Delta Lake, MLflow, Unity Catalog).
Proficiency in Python (including Py Spark) and SQL.
Experience with Azure Machine Learning services.
Strong understanding of machine learning algorithms, deep learning concepts, and statistical analysis.
Experience with building and deploying Generative AI/LLM solutions is highly desirable.
Excellent problem-solving, communication, and collaboration skills.
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AI/ML Engineer in Sydney employer: Resource Corner
As an Azure Databricks AI/ML Engineer, you'll join a dynamic team that values innovation and collaboration in the heart of the tech industry. Our company offers competitive benefits, a supportive work culture that fosters professional growth, and unique opportunities to work on cutting-edge projects in a vibrant location. We are committed to empowering our employees with the tools and resources they need to thrive in their careers while making a meaningful impact in the field of AI and MLOps.