AI Developer
Software
- Collaborate with stakeholders to identify business challenges and opportunities where AI can provide solutions.
- Design and develop AI models, algorithms, and applications based on identified requirements and use cases.
- Apply machine learning techniques to analyse and process large datasets to extract meaningful insights.
- Implement data pre-processing, feature engineering, and model training and evaluation pipelines.
- Conduct exploratory data analysis to gain a deep understanding of datasets and uncover patterns and trends.
- Optimize and fine-tune AI models to improve accuracy, performance, and scalability.
- Integrate AI models into existing systems and applications, ensuring seamless functionality and compatibility.
- Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to ensure successful project execution.
- Document and communicate project progress, results, and insights to stakeholders in a clear and concise manner.
- Stay up to date with the latest advancements in AI, machine learning, and related technologies, and apply them to enhance existing solutions. Choose an item.
- The employee agrees to take over additional reasonable tasks that align with their abilities, if required
- Solid understanding of statistical analysis, data visualization, and exploratory data analysis.
- Strong problem-solving skills and ability to translate business requirements into technical solutions. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.
- Ability to learn quickly and adapt to new technologies and methodologies..
Bachelor’s degree in computer science, software engineering, data science, information systems, machine learning, or a related field, or equivalent experience required. Less than 2 years of experience in machine learning engineering, MLOps engineering, platform engineering, DevOps engineering, software engineering, or a related technical field required. Certification in cloud platforms, DevOps, machine learning, container orchestration, automation, or platform engineering preferred. Certification in cloud engineering, infrastructure automation, or machine learning operations preferred.