Platform Engineer - Data & AI

What You Will Do: 

• Design and execute data collection strategies from various sources (structured & unstructured).
• Design, develop, and implement scalable data pipelines using Python and relevant frameworks
• Extract, transform, and load (ETL) data from various sources (databases, APIs, etc.)
• Clean, transform, and prepare data for analysis using Python and relevant libraries.
• Develop and implement supervised machine learning models for tasks like prediction and classification.
• Utilise unsupervised machine learning techniques such as clustering algorithms for data exploration and pattern recognition.
• Stay up-to-date on the latest advancements in data science, including but not limited to Generative AI and Neo4J.
• Effectively communicate complex data findings and recommendations to technical and non-technical audiences.
• Collaborate with colleagues across data engineering, analytics, and business development teams.

About You:

You will possess a structured approach, analytical prowess, and impeccable data science skills. 

• Master’s degree in Statistics, Computer Science, Mathematics, or a related field.
• Minimum 2+ years of experience as a Data Scientist or similar role.
• Strong proficiency in programming languages like Python and R.
• Experience with popular machine learning libraries like scikit-learn, AutoML TensorFlow, or PyTorch (familiarity with more than one is a plus).
• Excellent analytical and problem-solving skills.
• Strong communication and collaboration skills.
• A passion for providing high quality work and open to feedback from your peers.
• A passion for learning and staying up-to-date with emerging technologies.
• Exposure to notebook environments such as Jupyter Notebook, ARStudio or Databricks Collaborative Workbench.

Here’s a Taste of What’s on Offer at dataengine: 

• Opportunity to solve real-world business problems.
• Collaborative and supportive work environment.
• Competitive salary.
• Be at the forefront of data science innovation in a dynamic startup environment.
• Work on a variety of challenging and impactful projects across different industries.
• Opportunity to learn and grow your skillset with the latest technologies.
• Continuous learning and development opportunities.
• Weekly fresh fruit, snacks, monthly industry led lunches and active staff activities.
• Be part of a company that is shaping the future of data-driven solutions.

If you are a passionate and talented data geek who is excited about making a real impact, we encourage you to apply! 

About dataengine: 

dataengine, a New Zealand-based leader in data solutions, empowers businesses to unlock the hidden value within their data and achieve true transformation. We connect people, processes, and technology for optimised efficiency and sustainable impact. Founded in 2018, we’ve grown rapidly thanks to our exceptional team and commitment to delivering practical, impactful results. We believe in building the foundation right, starting with strategic planning and robust architecture. 

What sets us apart? 

• Experienced & Pragmatic: Our team boasts extensive expertise, focusing on tangible outcomes, not just presentations.
• Small Wins, Big Impact: We deliver incremental value drops, ensuring our customers see results quickly and continuously.
• Holistic Enablement: We develop with our customers, in their environment, empowering our team to own and optimise solutions.

Leading the way in Generative AI: We’ve developed a unique standalone AI engine, providing secure and accessible tools for our customers’ AI journey. From use case brainstorming to model deployment and tuning, we offer comprehensive support throughout the entire lifecycle. 

Beyond AI: Our services range from advisory and resourcing to full-scale platform design and build, catering to any data-driven business need.