Overview
Skills
Job Details
Master s or Ph.D. in Computer Science, Statistics, Mathematics, or a related field,
with 5+ years of relevant experience.
Expertise in Python and proficiency in ML frameworks (TensorFlow, PyTorch,
scikit-learn).
Deep understanding of ML algorithms (supervised, unsupervised learning, and
deep learning) and their applications.
Strong problem-solving, critical thinking, and analytical capabilities.
Technical Proficiency:
Proficiency in cloud platforms such as Azure Synapse Analytics, Azure Machine
Learning, AWS, and Google Cloud Platform for deploying big data and ML
solutions.
Applied knowledge in specialized areas such as NLP, computer vision,
reinforcement learning, and Generative AI, including Large Language Models.
Experience with both relational and non-relational databases, time-series data,
graph databases, and knowledge representation techniques.
Experience or familiarity with data network visualization techniques to analyze
complex data relationships and patterns.
Fluency in advanced analytics tools, demonstrating a robust ability to perform
complex quantitative analysis.