Senior Data Scientist

Role Description • Artificial Intelligence/Machine Learning Engineer is responsible for designing and developing machine learning systems or AI products, implementing appropriate ML algorithms, and conducting experiments. They possess strong programming skills, knowledge of data science, and expertise in statistics. • They work with data to create models, perform statistical analysis, and train and retrain models to optimize performance. Your responsibilities will involve designing and constructing sophisticated machine learning models, as well as refining and updating existing systems. • Their goal is to build efficient self-learning applications and contribute to advancements in artificial intelligence. • In order to thrive in this position, you must possess exceptional skills in statistics and programming, as well as a deep understanding of data science and software engineering principles
Qualification

Requirements and skills
• Proficiency in writing robust code in Python or R
• Experience with machine learning frameworks (like Keras or PyTorch or TensorFlow or Langchain) and libraries (like scikit-learn) at least 1 of TensorFlow or Langchain
• Experience in using Azure AI/ML Ops or Google Cloud AI/ML Ops
• Proven experience as an AI or Machine Learning Engineer or similar role (data science, GenAI)
• Understanding of data structures, data modeling and software architecture
• Deep knowledge of math, probability, statistics and algorithms
• Experience in applying vectorization and embedding techniques in the context of Generative AI, such as GPT, Claude, or Llama

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