Lead Software Engineer - AI/ML, Python, Data, AWS
Bengaluru, Karnataka, India
JPMorgan Chase & Co.
You will collaborate closely with business stakeholders and data scientists, address their technical challenges and take a proactive role in design and implementation decisions, turning experiments to scalable production engineering solutions. Having experience with ML engineering in commercial settings is highly desirable but not essential.
As a Lead Software Engineer at JPMorgan Chase within the Corporate & Investment Banking's Research Technology Data & Applied AI/ML team, your role will be pivotal in our mission to industrialize AI/ML models at a large scale and develop well-structured, cloud-native, data-intensive microservices and products. You will be expected to demonstrate strong hands-on software engineering skills and experience in creating modern, scalable, and cloud-native data engineering solutions. Your involvement in cutting-edge projects such as recommender systems, NLP services, and Generative AI applications will be exciting. Your proficiency and practical knowledge in modern cloud-based data architectures and technologies, building end-to-end data-intensive micro-services, including automated data pipelines and backend API development, will be highly valued. As a skilled engineer with experience in architecting and implementing distributed systems, you will be expected to uphold high standards of design and coding practices. Your passion for learning, problem-solving, creative thinking, and a can-do attitude will be essential in this role.
Job responsibilities
- Your role is central to our mission: industrialization of AI/ML models at scale, developing well-architected cloud-native data-intensive microservices and products.
- You are expected to have strong hands-on software engineering skills and experience in building modern, cloud-native and scalable data engineering solutions
- You will engage in exciting cutting-edge projects including recommender systems, NLP services and Generative AI applications.
- You have proficient and practical knowledge of modern cloud-based data architectures and technologies, building end-to-end data-intensive micro-services, including automated data pipelines and backend API development.
- You are a strong engineer with experience architecting and implementing distributed systems, adopting high standards of design and coding practices.
- You have a passion for learning, problem-solving, creative thinking and a can-do attitude.
Required qualifications, capabilities, and skills
- Formal training or certification on software engineering concepts and 5+ years applied experience
- Proven track record in system design, architecting and developing microservices, distributed systems and data-intensive applications
- Advanced experience with AWS services, Infrastructure as Code, big data and modern data engineering technologies
- Strong coding skills in Python or similar programming language, API and backend development
- Strong SDLC mindset and practitioner of high coding and testing standards and familiarity with agile paradigms
- Must be curious, detail-oriented, results- and client-focused, highly motivated by complex analytical and data problems
- Ability to convey design choices and results clearly and communicate effectively to stakeholders of various backgrounds
- Excellent creative problem solver, a data enthusiast and passionate about realizing the full power of applied AI/ML and analytics in real complex and large corporate environments
Preferred qualifications, capabilities, and skills
- Experience developing large-scale Cloud-native data/AI/ML engineering solutions in large corporate environments
- Experience working on recommendation systems, NLP services, or other AI/ML systems
- Practical experience with Kubernetes, EKS, MLOps
- Prior experience collaborating with data scientists
- Familiarity with modern front-end technologies, full-stack development
JPMorgan Chase & Co., one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world’s most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile API Development APIs Architecture AWS Banking Big Data Data pipelines Distributed Systems Engineering Generative AI Kubernetes Machine Learning Microservices ML models MLOps NLP Pipelines Python Recommender systems Research SDLC Testing
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