Remote AI Developer - Octopus by RTG at robusta

Description:

Octopus by RTG is seeking AI Developers to join their team and support a key partner organization in transforming the insurance industry in Saudi Arabia.
The role involves developing and maintaining AI applications, designing scalable AI-driven applications using Python, and building, training, and optimizing machine learning models with tools like TensorFlow, Keras, PyTorch, and Scikit-learn.
Responsibilities include integrating AI models with Gemini’s features, processing and analyzing large datasets, designing machine learning algorithms, collaborating with cross-functional teams, and staying updated with the latest trends in AI and data science.
The position requires documentation of AI models, algorithms, and application workflows, as well as presenting findings to internal teams or clients.

Requirements:

A Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field is required.
A minimum of 3 years of experience in AI application development using Python is necessary.
Proficiency in Python and deep knowledge of libraries and frameworks commonly used in AI development is essential.
Extensive experience with machine learning algorithms and expertise in deep learning frameworks such as TensorFlow, Keras, PyTorch, and MXNet is required.
Strong knowledge of natural language processing (NLP), computer vision (CV), and other specialized AI domains is expected.
Hands-on experience with Gemini or a similar platform for integrating AI solutions into application development is needed.
Proficiency in data preprocessing, data analysis, and visualization with libraries like Pandas, NumPy, Matplotlib, and Seaborn is required.
Familiarity with SQL and NoSQL databases, as well as experience with big data processing frameworks like Apache Spark, Hadoop, and Dask is necessary.
Experience with cloud platforms (GCP) and their AI/ML offerings, along with familiarity with containerization technologies such as Docker and orchestration tools like Kubernetes, is required.
Expertise in using Git for source code management and experience deploying machine learning models to production environments is essential.
Proficiency in RESTful API development and knowledge of GraphQL for API management is required.
Understanding of data privacy, encryption, and AI security practices is necessary.
Strong understanding of Agile methodologies and experience with CI/CD pipelines for automated testing and deployment is expected.
Knowledge of Unit Testing and Test-Driven Development (TDD) is preferred.

Benefits:

The position offers social and medical insurance.
Salary is paid in USD.
This is a fully remote opportunity, allowing for flexible work arrangements.