Data Science Architect

Job description

We are seeking a skilled and experienced Data Scientist to join our dynamic team. As Data Scientist, you will play a critical role in driving high-impact data science projects.

Responsibilities:

• Develop and implement advanced machine learning and deep learning models for Data processing, natural language processing, computer vision.
• Machine Learning lifecycle: data prep, training data generation, feature engineering, optimization, experimentation, reproducibility, deployment, and end-to-end workflow management
• Knowledge of statistical programming languages like Python, Pandas, Numpy etc.
• Basic knowledge of query language like SQL.
• Utilize expertise in statistics, ML to extract valuable insights from complex data sets.
• Should have knowledge working with libraries like TensorFlow, PyTorch, scikit-learn, NLTK etc.
• Proven experience in Generative AI.
• Proven track record of successfully delivering complex data science projects.
• Work collaboratively with cross-functional teams to identify data science opportunities and provide innovative solutions.
• Deploy data science models in the form of APIs on Azure Kubernetes Service (AKS) to ensure smooth integration with existing systems.
• Stay updated with the latest advancements in data science, AI, and related fields, and apply them to enhance our capabilities.

Qualifications:

• Bachelor's or Master' degree
• 5+ years of industry experience in data science, with a strong background in data processing, deep learning, natural language processing and generation, computer vision and statistics.