Applied AI ML Associate Senior

6 days ago

Bengaluru, India JP Morgan Chase & Co. Full time

Job Description We have an exciting and rewarding opportunity for you to take your Applied AI engineering career to the next level. As a Applied AI ML Associate Sr at JPMorgan Chase within the Consumer and Community Banking - Wealth Management, you will be a seasoned member of an agile team, tasked with designing and delivering trusted, market-leading technology products in a secure, stable, and scalable manner. You will be responsible for implementing critical technology solutions across multiple technical domains, supporting various business functions to achieve the firm's business objectives. 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 - Creates secure and high-quality production code, maintaining algorithms that integrate seamlessly with generative AI systems and other appropriate technologies. - Produces architecture and design artifacts for complex generative AI applications, ensuring design constraints are met by software code development. - Gathers, analyzes, synthesizes, and develops visualizations and reporting from large, diverse data sets to continuously improve generative AI applications and systems. - Proactively identifies hidden problems and patterns in data, using these insights to drive improvements in coding hygiene and system architecture specific to generative AI. - Contributes to software engineering communities of practice and events that explore new and emerging generative AI technologies. Required qualifications, capabilities, and skills - Formal training or certification on software engineering concepts and 3+ years applied experience. - Proficient in coding in one or more languages, with a strong emphasis on Python and AI/ML frameworks. - Experience in developing, debugging, and maintaining code in a large corporate environment, utilizing modern programming languages and database querying languages. - Comprehensive knowledge of the Software Development Life Cycle, with a focus on generative AI applications. - Solid understanding of agile methodologies such as CI/CD, Application Resiliency, and Security, particularly in the context of AI/ML. - Demonstrated knowledge of software applications and technical processes within technical disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies. - Expertise in AWS and GenAI/ML technologies, Agentic AI Development - SLM's, LRM's and Model Finetuning. Preferred qualifications, capabilities, and skills - Experience with AI model optimization and performance tuning to ensure efficient and scalable AI solutions. - Familiarity with data engineering practices to support AI model training and deployment. - Ability to collaborate with cross-functional teams to integrate generative AI solutions into broader business processes and applications. - Strong understanding of machine learning algorithms and techniques, including supervised, unsupervised, and reinforcement learning. - Experience with AI/ML libraries and tools such as TensorFlow, PyTorch, Scikit-learn, and Keras.

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