Senior Lead Software Engineer - Python & GenAI

JP Morgan Chase; Hyderabad City Taluka; On-site; PKR 16,939,000 - 25,410,000; Full time

Job summary

A leading financial institution in Pakistan seeks an experienced AI/ML Engineer to spearhead the creation of intelligent systems and scale machine learning pipelines. The role involves building high-throughput RESTful APIs, orchestrating AI/ML workloads on Kubernetes, and guiding engineering talent. Candidates must have formal training in Engineering concepts and significant hands-on experience in technical processes like cloud and AI. This position values diverse talents and offers a collaborative environment.

Qualifications

• Formal training in Engineering concepts and 5+ years of applied experience.
• Hands-on experience in system design, application development, and operational stability.
• Advanced proficiency in programming languages.
• Advanced knowledge of technical processes in cloud, AI, or ML.
• Ability to tackle design and functionality problems independently.
• Practical cloud-native experience.
• Experience in Computer Science, Computer Engineering, Mathematics, or related field.

Responsibilities

• Spearhead the creation of intelligent AI/ML systems using frameworks for autonomous decision-making.
• Engineer and scale ML pipelines with Python and advanced libraries.
• Build and maintain high-throughput RESTful APIs for AI/ML services.
• Orchestrate AI/ML workloads on Kubernetes for scaling and resource management.
• Establish automated CI/CD pipelines for ML lifecycle management in cloud environments.
• Guide and mentor engineering talent in AI/ML development practices.
• Champion engineering standards and contribute to the technical community.

Job description

Job responsibilities

• Spearhead the creation of intelligent AI/ML systems using agentic frameworks for autonomous decision-making
• Engineer and scale machine learning pipelines with Python and state-of-the-art libraries
• Build and maintain high-throughput RESTful APIs for AI/ML services, prioritizing speed and security
• Orchestrate AI/ML workloads on Kubernetes for seamless scaling and resource management
• Establish automated CI/CD pipelines for end-to-end ML lifecycle management in cloud-native environments
• Guide and mentor engineering talent, fostering excellence in AI/ML development practices
• Champion firmwide engineering standards and contribute to the broader technical community

Required qualifications, capabilities, and skills

• Formal training or certification on Engineering concepts and 5+ years applied experience
• Hands‑on experience in system design, application development, testing, and operational stability
• Advanced proficiency in one or more programming languages
• Advanced knowledge of software applications and technical processes in technical disciplines such as cloud, artificial intelligence, or machine learning
• Ability to tackle design and functionality problems independently
• Practical cloud‑native experience
• Experience in Computer Science, Computer Engineering, Mathematics, or a related technical field

Preferred qualifications, capabilities, and skills

• Familiarity with modern front‑end technologies
• Exposure to cloud technologies

JPMorganChase, 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 ourFAQsfor more information about requesting an accommodation.