Responsibilities:
- Develop clean, high-quality Python code that is easy to read and maintain.
- Solve complex problems by analyzing and isolating issues efficiently.
- Champion best practices in coding and serve as a subject matter expert.
- Design and implement solutions to support key business needs.
- Engineer components and common services using Python.
- Produce system design documents and lead technical walkthroughs.
- Collaborate effectively with both technical and non-technical partners to achieve project goals.
- Continuously improve the architecture to enhance system performance and scalability.
- Provide technical guidance and mentorship to team members, fostering a culture of continuous improvement
Basic Qualifications:
- 5+ years of experience in designing and building solutions using distributed computing.
- Proven experience in implementing and maintaining web applications in large-scale environments.
- Experience working with business stakeholders and users, providing research direction and solution design.
- Experience with CI/CD pipelines to automate the deployment and testing of software.
- Proficient programming skills in high-level languages, particularly Python.
- Solid knowledge of cloud platforms such as Azure and AWS.
- Experience with SQL and NoSQL such as Azure Cosmos DB and PostgreSQL
- Ability to quickly define and prototype solutions with continual iteration within challenging timelines.
- Strong communication and documentation skills for both technical and non-technical audiences.
- Generative AI Expertise: Deep understanding of generative AI models, including experience with large language models (LLMs) such as GPT, BERT, and Transformer architectures.
- Embedding Techniques: Proficiency in creating and utilizing embeddings for various applications, including semantic search and recommendation systems.
- Vector Search and Retrieval:Familiarity with vector search techniques and embedding models for efficient data retrieval and analysis.
Preferred Qualifications:
- Machine Learning and NLP: Experience with machine learning models and natural language processing techniques to enhance AI-driven solutions.
- Cloud Platforms: Knowledge of cloud services such as AWS, Azure, or Google Cloud for deploying and managing AI solutions.
- Collaboration and Leadership:Ability to lead, train, and mentor team members effectively.
- Proven experience of working with Kensho SparkAssist for your daily workflows as well as being a Owner or Co-Owner
- Working on inner-source and open-source AI projects and libraries.
