19 Oct
JP Morgan Chase
Secunderabad
We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible.
As a Software Engineer III at JPMorgan Chase within the Corporate Risk, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. Drive significant business impact through your capabilities and contributions, and apply deep technical expertise and problem-solving methodologies to tackle a diverse array of challenges that span multiple technologies and applications.
Job responsibilities
- Executes software solutions, design, development,
and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or break down technical problems
- Work with product managers, data scientists, ML engineers, and other stakeholders to understand requirements.
- Developapi/services for model deployment, ensuring scalability, reliability, and efficiency.
- Build applications to automate manual steps in MLOPs pipeline.
- Execute POC and iterate on RAG architectures, and implement solutions for automation
- Stay informed about the latest trends and advancements in the latest LLM/GenAI research, implement cutting-edge techniques, and leverage external APIs for enhanced functionality.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and3+ years of applied experience.
- Proficient in programming languages like Python for model development, experimentation, and integration with OpenAI API.
- Experience is building API and restful services using Flask/Django/FastAPI
- Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
- Experience with cloud computing platforms (e.g., AWS, Azure, or Google Cloud Platform), containerization technologies (e.g., Docker and Kubernetes), and microservices design, implementation, and performance optimization.
- Knowledge of software applications and technical processes within a technical discipline (e.g., cloud, artificial intelligence, machine learning, mobile, etc.)
- Understanding of fundamentals of machine learning and LLMs.
- Proficient in identifying automation opportunities, designing and implementing solutions
- Strong collaboration skills to work effectively with cross-functional teams, communicate complex concepts, and contribute to interdisciplinary projects.
- Experience in applied AI/ML engineering, with a track record of deploying business critical machine learning models in production.
Preferred qualifications, capabilities, and skills
Familiarity with the financial services industries
▶️ Software Engineer III Software Engineer III Python, API, AWS, Agile
🖊️ JP Morgan Chase
📍 Secunderabad