Summary
The objective of the position is to design, build, and deploy AI, Gen AI and Machine learning models and AI-powered solutions.
What you'll do
The holder of the position is mainly responsible for the following areas in coordination with his / her superior :
Model Development & Implementation : Design, develop, train, and test machine learning (ML) and deep learning (DL) models using company's AI allowable frame-works like TensorFlow etc.
Data Pipeline Management : Build and maintain robust, scalable data pipelines to collect, clean, and preprocess large datasets for model training and evaluation.
Deployment & MLOps : Deploy ML models into production systems using CI / CD pipelines and MLOps best practices.
Monitor model performance, and retrain and update models as needed.
System Integration : Integrate AI models with existing software applications and infrastructure, ensuring scalability, performance, and reliability.
Collaboration & Prototyping : Work closely with cross-functional teams to understand business requirements, conduct experiments, and rapidly prototype new AI solutions.
Research & Innovation : Stay up-to-date with the latest advancements in AI and machine learning to propose and implement innovative solutions.
What you'll need
Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related field.
Good academic and Demo or POC, hands-on experience in a similar work, such as AI design, Machine Learning or building Data pipelines.
Programming proficiency : Good programming skills in Python are essential.
Familiarity with libraries like NumPy, Pandas, and scikit-learn is required.
ML / DL frameworks : Some experience with at least one deep learning framework, such as TensorFlow, PyTorch, or Keras.
Cloud computing : Light experience with any major cloud platform (AWS, Azure, or GCP) and their respective AI / ML services.
Software engineering : Good understanding of software development principles.
Problem solving : Strong analytical and problem-solving skills with the ability to translate business problems into technical solutions.
Proficiency in PL / SQL to write SQL scripts.
Experience in data modelling would be an advantage.
Good analytical and troubleshooting skills.
Curious, proactive, self-motivated and able to work in a dynamic environment.
What you'll receive
Excellent salary and benefits.
Networking opportunities.
External training sponsorship.
Ongoing training and development.
Continuing support with our buddy and mentorship programs.
Location
Head Office —
Other details
Contract Type : Full Time
Entry Level : Graduate
IT
Reference no : #J-
Graduate • Queenstown, Otago, New Zealand