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Machine Learning Specialist

2 weeks ago


Auckland, Auckland, New Zealand Datacom Full time
Job Description
Datacom is seeking an experienced Data Science Architect to lead the development of our AI solutions. As a Data Science Architect, you will be responsible for designing, developing, and deploying advanced AI models that drive business value.

About the Role
We are looking for a highly skilled individual who can lead the development of AI solutions across multiple domains. You will work closely with cross-functional teams to bring cutting-edge AI projects to life.

Key Responsibilities
• Model Development: Design, develop, and implement complex AI models, including machine learning and deep learning models.
• Data Engineering: Work with large and complex datasets to extract meaningful insights. Clean, preprocess, and transform data into suitable formats for model training.
• Model Deployment: Deploy AI models into production environments, ensuring scalability and reliability. Monitor model performance and implement retraining strategies as needed.
• Research and Innovation: Stay up-to-date with the latest advancements in AI and machine learning. Conduct research and experiments to explore new techniques and applications.

Requirements
• Strong proficiency in Python programming language and AI/ML frameworks (TensorFlow, PyTorch, Keras).
• Solid understanding of machine learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, neural networks).
• Experience with data preprocessing, feature engineering, and model evaluation.
• Knowledge of cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes).
• Familiarity with generative AI technologies and large language models (LLMs).
• Strong problem-solving and analytical skills.
• Excellent communication and collaboration skills.
• A passion for learning and staying up-to-date with the latest AI trends.

Benefits
Datacom offers a range of benefits, including flexible working hours, professional development opportunities, and a collaborative work environment.