Senior Ai Developer
3 days ago
The Details
**Our Purpose**:
Datacom works with organizations and communities across Australia and New Zealand to make a difference in people’s lives and help organizations use the power of technology to innovate and grow.
**About the Role**:
We're seeking a talented Senior AI Developer to join our innovative team and contribute to the development of cutting-edge AI solutions. As a Senior AI Developer, you will play a crucial role in designing, developing, and deploying advanced AI models that drive business value. You will collaborate with data scientists, engineers, and product managers to bring AI solutions to life.
**Key Responsibilities**:
- Model Development:
- Design, develop, and implement complex AI models, including machine learning and deep learning models.
- Experiment with various algorithms and techniques to optimize model performance.
- Collaborate with data scientists to refine data pipelines and feature engineering.
- Data Engineering:
- Work with large and complex datasets to extract meaningful insights.
- Clean, preprocess, and transform data into suitable formats for model training.
- Develop efficient data pipelines and data ingestion processes.
- Model Deployment:
- Deploy AI models into production environments, ensuring scalability and reliability.
- Monitor model performance and implement retraining strategies as needed.
- Collaborate with infrastructure teams to optimize deployment and infrastructure costs.
- Research and Innovation:
- Stay up-to-date with the latest advancements in AI and machine learning.
- Share knowledge and insights with the team through presentations and technical discussions.
- Collaboration:
- Work closely with cross-functional teams, including data scientists, engineers, and product managers.
- Communicate effectively with technical and non-technical stakeholders.
- Contribute to a positive and collaborative team culture.
**Required Skills and Experience**:
- 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
**Preferred Skills**:
- Experience with natural language processing (NLP) and computer vision techniques
- Knowledge of MLOps practices and tools
- Experience with big data technologies (Hadoop, Spark)
- Experience with frontend technologies like React JS
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