Data Scientist

We are on the lookout for a resourceful and proficient AI Engineer / Developer to join our forward-thinking team. The ideal candidate will not only possess a strong foundation in Python programming, advanced mathematics, and algorithms , but also have specialized knowledge in Generative AI (GenAI) and Large Language Models (LLMs) . This role is pivotal in developing machine learning and deep learning models, understanding and applying various neural network architectures , and handling intricate data processing and visualization. The successful candidate will be adept in natural language processing, deploying AI and ML solutions, and upholding AI security.

Key Responsibilities:

·       Develop and refine machine learning and deep learning models.

·       Apply expertise in neural network architectures, specifically for GenAI and LLM applications.

·       Handle complex data processing, cleaning, and visualization tasks.

·       Utilize natural language processing techniques for advanced AI solutions.

·       Efficiently deploy AI/ML models in production environments, focusing on scalability and robustness.

·       Uphold and enhance AI security measures to protect systems and data.

·       Collaborate with cross-functional teams to integrate AI solutions, particularly GenAI and LLMs, into broader systems and applications.

·       Stay abreast of the latest trends and advancements in AI, machine learning, GenAI, and LLMs.

Requirements

·       Proficiency in Python programming.

·       Advanced knowledge in mathematics and algorithm development.

·       Experience in developing machine learning and deep learning models.

·       Strong understanding of neural network architectures, with emphasis on GenAI and LLMs.

·       Skilled in data processing and visualization.

·       Experienced in natural language processing.

·       Knowledgeable in AI/ML deployment, DevOps practices, and cloud services.

·       In-depth understanding of AI security principles and practices.

Requirements

Requirements

·       Proficiency in Python programming.

·       Advanced knowledge in mathematics and algorithm development.

·       Experience in developing machine learning and deep learning models.

·       Strong understanding of neural network architectures, with emphasis on GenAI and LLMs.

·       Skilled in data processing and visualization.

·       Experienced in natural language processing.

·       Knowledgeable in AI/ML deployment, DevOps practices, and cloud services.

·       In-depth understanding of AI security principles and practices.