Data Science Engineer

• Collaborate with experienced cross-disciplinary teams to conceive, design, and market innovative AI products and services.
• Enhance and optimize vector databases and knowledge graphs, including proficiency in configuring vectors and writing and optimizing Cypher queries.
• Develop and implement cutting-edge AI technologies in a large, distributed computing environment, driving fundamental industry changes.
• Create solutions for running predictive models on distributed systems, leveraging innovative technologies at scale and speed.
• Design and build scalable, fault-tolerant distributed storage, index, and query systems that are cost-effective and easy to manage and use.
• Translate broadly defined problems into concrete, effective solutions through robust design and coding practices.
• Work in an agile environment to deliver high-quality AI software efficiently.
• Focus on developing AI tools utilizing Large Language Models (LLMs) to address business challenges and boost productivity.
• Apply optimization mathematics, including linear programming and nonlinear optimization, to enhance AI solutions.

The preferred candidate will have:

• A Masters in Computer Science, Computer Engineering, Data Science, Electrical Engineering, or related fields.
• At least 7 years of professional experience in developing AI tools and solutions, with a strong focus on utilizing AI LLM models to solve business problems and enhance productivity.
• Proven experience in mentoring and developing junior developers, fostering their growth and ensuring high standards of coding and problem-solving skills.
• Extensive experience with distributed systems, algorithms, and relational databases.
• Strong understanding of computer science fundamentals including object-oriented design, operating systems, algorithms, data structures, and complexity analysis.
• Proficiency in one or more modern programming languages such as Java, Python, C++, or C#, including object-oriented design.
• Experience with Databricks on Azure and MS Fabric.
• Experience with distributed, multi-tiered systems, algorithms, and relational databases.
• Experience in optimization mathematics such as linear programming and nonlinear optimization.
• Ability to design and build scalable, fault-tolerant distributed storage, index, and query systems that are easy to manage and use.
• Experience working in an agile environment to deliver high-quality software efficiently.
• Strong interests and academic qualifications/research focus in Artificial Intelligence, machine learning, and/or Generative AI, such as computer vision, deep learning models, XLA, TVM, MLIR, and LLVM.