Sr. Associate - AI and Data Engineer

Requirements

• 5 to 7 years’ experience in data engineering, AI/ML engineering, or software engineering, with proven delivery of production-grade data and AI solutions in cloud environments.
• Demonstrated ability to architect scalable, high-performance, and secure data and AI solutions that meet enterprise standards.
• Strong experience designing, building, and maintaining robust batch and streaming data pipelines, with hands-on knowledge of modern data engineering patterns and practices.
• Experience developing and maintaining curated data models and datasets, with familiarity in medallion architecture, lakehouse concepts, and transformation frameworks.
• Hands-on experience with Azure and Databricks preferred, and proficiency with data pipeline and streaming technologies including dbt, Kafka, and Azure Event Hubs.
• Strong programming skills in Python, with proficiency in SQL and experience using JavaScript or Shell in engineering workflows.
• Experience building and deploying AI/ML solutions, including LLM-based applications, intelligent automation, or agentic systems using platforms and tools such as OpenAI, Databricks, Anthropic, and LangChain.
• Strong understanding of MLOps and DataOps practices, including CI/CD, testing, monitoring, orchestration, containerisation (Docker/Kubernetes), and infrastructure as code (Terraform).
• Experience implementing observability, validation, and quality controls across both data pipelines and AI systems to ensure reliability, accuracy, and supportability in production.
• Familiarity with real-time and event-driven architectures, vector databases, and data storage patterns spanning relational, NoSQL, and analytical platforms.
• Knowledge of data governance, privacy, and security practices, with the ability to embed Responsible AI and sound data management principles into engineering workflows.
• Strong collaboration and stakeholder engagement skills, with the ability to work across platform, data, AI, and business teams to deliver integrated solutions.
• A growth mindset with the ability to mentor others, contribute reusable engineering patterns, and help mature AirTrunk’s AI and Data engineering capability.
• The AirTrunk Culture
• Working at AirTrunk is a once in a lifetime opportunity to fast-track your career and amplify your impact. Whilst you’re helping scale our region’s digital future, we’ll help you Grow@Hyperscale and unleash your full potential.
• The pace in which we operate means you’ll feel an electric atmosphere at AirTrunk. We are a team of challengers and collaborative problem solvers who break new ground every day. We do this by living our values, going above and beyond, and being dynamic, transparent, and responsive.
• Every AirTrunker brings their own unique background and diverse perspective to find solutions to problems that matter. We make sure you have everything you need to make your mark and thrive in a flexible and safe working environment, where everyone feels welcome. Our benefits empower AirTrunkers to stay positively charged.
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• EEO Statement
• The Company is an equal opportunity employer. In accordance with applicable law, we prohibit discrimination against any applicant, employee, or other covered person based on any legally recognized basis, including, but not limited to: veteran status, uniformed servicemember status, race, color, caste, immigration status, religion, religious creed (including religious dress and grooming practices), sex, gender, gender expression, gender identity, marital status, sexual orientation, pregnancy (including childbirth, lactation or related medical conditions), age, national origin or ancestry, citizenship, physical or mental disability, genetic information (including testing and characteristics), protected leave status, domestic violence victim status, or any other consideration protected by federal, state or local law. We are committed to providing reasonable accommodations, if you need an accommodation to complete the application process, please email [email protected]