AI/ML Developer: We are seeking a talented and highly motivated AI/ML Developer with strong programming skills in Python or other relevant languages to join our dynamic team. You will need to have the skill set and ability to design, develop, and deploy cutting-edge artificial intelligence and machine learning solutions on cloud platforms. You will be familiar with big data tools and technologies for handling large datasets and have hands-on experience with cloud providers like Google Cloud Platform (GCP).
Responsibilities:
* Utilise cloud platforms (e.g. Google GCP) and Cloud AI solutions (e.g. gemini.google.com, notebooklm.google.com) to build and deploy scalable AI solutions.
* Process and analyse large datasets to train and evaluate AI/ML models.
* Collaborate with data scientists to optimise model performance and accuracy.
* Develop and maintain AI/ML pipelines for data ingestion, processing, and model training.
* Integrate AI/ML models with existing applications and systems.
* Stay up-to-date with the latest advancements in AI/ML and cloud technologies.
* Contribute to the development of AI/ML strategy and best practices.
Requirements:
* Knowledge of data structures, algorithms, and software design principles.
* Experience with machine learning frameworks: Preferably hands-on experience with cloud platforms (GCP) and their AI/ML services.
* Software and API Development: Experience with software development best practices, including version control, testing, and debugging. Ability to design and develop APIs for AI models.
* Strong academic background: A degree in Computer Science, Artificial Intelligence, or a relevant area of study is highly desirable.
* Experience with NLP or computer vision: Experience with containerization technologies (e.g., Docker, Kubernetes) would be a benefit to this role.
* Contributions to open-source AI/ML projects is desirable.
* Data Analysis: Expertise in data cleaning, transformation, and preparation for AI model training. Strong analytical skills to interpret data and evaluate AI model performance.
* Data Storage and Processing: Understanding of cloud data storage solutions (e.g., object storage, data lakes) and data processing services.
* DevOps Practices: Familiarity with DevOps principles and tools for continuous integration and continuous delivery (CI/CD) of AI models.
* Communication: Ability to clearly communicate technical concepts to both technical and non-technical audiences.
Note: A relevant degree and experience are must-haves.
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