Job responsibilities
- Handle hands-on involvement in building and operating highly sophisticated LLM promoten applications.s.
- Partner directly with other technology teams on LLM projects to advise and assist as needed.
- Collaborate with Data Science, Cybersecurity to deliver state of the art ML products.
- Collaborate with Devops engineers to plan and deploy data storage and processing systems,
- Execute creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems.
- Develop secure high-quality production code, and reviews and debugs code written by others.
- Add to team culture of diversity, equity, inclusion, and respect.
Required qualifications, capabilities, and skills
- Advanced python programming skills.
- Formal training or certification on software engineering concepts and advanced applied experience.
- Proven experience in building and operating scalable ML-driven products.
- Azure and/or AWS Certifications ( Architect, Big Data, AI/ML ) .
- Hands on experience in Azure and AWS.
- Proficiency with cloud technologies like Kubernetes, Airflow.
- Experience working in a highly regulated environment.
- Proven ability to iterate quickly.
- Proficient in all aspects of the Software Development Life Cycle.
- Terraform, IaaC experience.
- Experience with design & delivery of large scale cloud-native architectures. Experience with microservices performance tuning, performance optimization, real-time applications.
Preferred qualifications, capabilities, and skills
- Experience with financial data and data science.