key responsibilities

• - Develop, test, and deploy AI models and algorithms to solve real-world problems.

• - Work with large datasets to extract meaningful insights and develop data-driven solutions.

• - Collaborate with cross-functional teams to integrate AI solutions into existing products and services.

• - Optimize and improve the performance of AI models and systems.

• - Stay updated with the latest advancements in AI and machine learning technologies.

• - Design and implement scalable machine learning pipelines and workflows.

• - Conduct research to advance the state-of-the-art in artificial intelligence and machine learning.

• - Document processes and results, and present findings to stakeholders.

basic Qualifications

• - Bachelor’s or Master’s degree in Computer Science, Information Technology, or related fields.

• - Strong programming skills in Python, R, or similar languages.

• - Experience with machine learning frameworks such as TensorFlow, PyTorch, or Keras.

• - Familiarity with data processing libraries like Pandas, NumPy, and Scikit-learn.

• - Knowledge of algorithms, data structures, and software design principles.

• - Experience with cloud platforms (AWS, Google Cloud, Azure) is a plus.

• - Strong problem-solving skills and the ability to work independently as well as in a team.

• - Excellent communication skills and the ability to explain complex concepts to non-technical stakeholders.

preferred Qualifications

• - Experience with natural language processing (NLP) or computer vision.

• - Knowledge of reinforcement learning or generative models.

• - Familiarity with DevOps practices and tools.

• - Proficiency in English, including reading, writing, and speaking