Description

You will apply deep learning and graph-based data science techniques to solve complex problems.

Responsibilities

• Build and tune deep learning models using frameworks like TensorFlow or PyTorch.
• Implement graph algorithms including PageRank, shortest path, and centrality.
• Develop and integrate embedding techniques such as word2vec, node2vec, GloVe, or BERT into graph-based models.
• Deploy and containerize models using Docker and Kubernetes within cloud environments.
• Manage data workflows using SQL and graph databases.

Required Skills

• 10+ years of professional experience in data science.
• Deep learning expertise with TensorFlow, PyTorch, or similar frameworks.
• Hands-on experience with graph databases such as Neo4j, ArangoDB, or Amazon Neptune.
• Advanced Python programming including scikit-learn, pandas, and NumPy.
• Strong SQL skills for data manipulation.
• Experience with embedding techniques (word2vec, node2vec, GloVe, BERT).
• Cloud platform experience with AWS, Azure, or GCP.
• Proficiency with containerization tools including Docker and Kubernetes.

Preferred Skills

• Bachelor's degree in Computer Science.

Key Skills

Education

Bachelor's degree in Computer Science