Key Responsibilities:

- Assist in the development and implementation of AI & Mathematical algorithms and models on cloud platforms.

- Support the integration of AI solutions with existing systems and applications, ensuring seamless functionality and performance.

- Assist in the deployment and maintenance of AI models in production environments, monitoring performance and optimizing as needed.

- Implement data analysis through statistical programming; Question and/or challenge design according to scientific questions.

- Stay updated on the latest advancements in AI, mathematics, cloud computing, and related technologies, and contribute insights to enhance our offerings.

- Develop system models to communicate advanced concepts to customers, stakeholders and developers.

What requirements should you have?

- Have a B.S in computer science, mathematics, statistics or similar fields.

- Vector Calculus; Probability & Linear algebra theory knowledge.

- Strong academic record.

- Strong commitment to continuous learning.

- Excellent programming and debugging skills in one or more languages like Python, C, or C++.

- Design, develop, test, deploy, maintain, and enhance large scale software solutions.

- ML design and optimizing ML infrastructure knowledge-- model deployment, model evaluation, data processing, debugging, fine tuning.

- Familiarity with cloud computing platforms.

- Maintain and develop core algorithms.

- Develop AI models that are trustworthy, safe, and reliable, especially in high-stakes scenarios..

- Any previous knowledge about the topics below is a plus.

What other requirements should you have?

- Algorithms-- Network algorithms, scheduling, searching, sorting and string processing.

- Background of theory and practice of Bayesian models and statistics.

- Experience in creating implementations of deep learning algorithms.

- Experience with AI frameworks and libraries such as TensorFlow, PyTorch, or scikit-learn is a plus.

- Linear/Quadratic optimization & Polytopes knowledge.

- Scientific Computing theory knowledge-- Interpolation and approximation of functions; Numerical methods for Differential Equations.

- Theory of computation knowledge-- Formal language theory, computability theory, and complexity theory.

Career Level - IC1