Data Scientist with Deep Learning and Graph Algorithms

Key Responsibilities:Develop deep learning models and graph algorithms for embedded systems.Work with large-scale datasets using Big Data technologies such as Databricks and Snowflake.Optimize machine learning models for performance and scalability.Collaborate with cross-functional teams to deploy data-driven solutions.Qualifications:5+ years of experience in data science, deep learning, and graph algorithms.Proficient with machine learning frameworks (TensorFlow, PyTorch, Keras) and Big Data tools.Strong background in Python, data science libraries, and cloud platforms (AWS, Azure, GCP).Preferred Experience:Working with embedded systems and optimizing ML models.Familiarity with Docker, Kubernetes, and high-performance computing.