As an Artificial Intelligence Engineer, you will be at the forefront of our AI initiatives, working alongside talented colleagues to design, develop, and deploy AI-powered applications that solve complex business problems. Whether you're creating predictive models, optimizing algorithms, or integrating AI into our products and services, you'll have the opportunity to leverage the latest advancements in AI technology to drive innovation and drive business value.
If you thrive in a fast-paced, collaborative environment and have a passion for harnessing the power of AI to drive real-world impact, we want to hear from you.
Responsibilities:
· Develop and deploy machine learning models: Design, build, and optimize machine learning models and algorithms to solve specific business problems. Collaborate with cross-functional teams to gather requirements, define objectives, and deploy models into production environments.
· Model training and evaluation: Train and fine-tune machine learning models using appropriate algorithms and techniques. Evaluate model performance and identify areas for improvement, employing techniques such as cross-validation, hyperparameter optimization, and ensemble methods.
· Model deployment and integration: Collaborate with software engineers and DevOps teams to deploy machine learning models into production environments. Implement APIs and integrate models with existing systems and applications to enable real-time decision-making.
· Performance monitoring and maintenance: Monitor model performance and address any issues or anomalies that arise. Continuously improve models by refining algorithms, optimizing code, and incorporating feedback from users and stakeholders.
· Data analysis and insights: Perform exploratory data analysis, generate insights, and present findings to stakeholders. Use statistical methods and visualization techniques to communicate complex concepts and patterns effectively.
· Stay up-to-date with the latest advancements: Keep abreast of the latest research and trends in machine learning and artificial intelligence. Evaluate and recommend new tools, libraries, and methodologies to enhance the efficiency and effectiveness of the machine learning workflow.
Requirements:
· Education: Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, or a related field. An equivalent combination of education and experience will also be considered.
· Experience: At least 2 years’ experience working in a similar role. Hands-on experience in designing, developing, and deploying machine learning models in real-world applications.
· Solid understanding of machine learning algorithms, techniques, and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
· Experience with working on Large Language Models and Generative AI technology is a plus.
Technical skills:
1) Strong programming skills in languages such as Python.
2) Proficiency in machine learning frameworks such as TensorFlow, PyTorch, or Scikit-Learn etc.
3) Solid understanding of Statistical Analysis, Probability Theory, and Hypothesis Testing.
4) Familiarity with machine learning tools on cloud platforms (e.g., AWS, Azure, GCP) and distributed computing frameworks (e.g., Spark) is a plus.
