JPMorgan Software Engineer III Data Analytics 

India, Maharashtra, Mumbai 

444623027

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.
• Design, develop, and deploy state-of-the-art AI/ML/LLM/GenAI solutions to meet automation needs.
• Develop and maintain automated pipelines for model deployment, ensuring scalability, reliability, and efficiency.
• Implement optimization strategies to fine-tune generative models for specific NLP use cases, ensuring high-quality outputs in summarization and text generation.
• Conduct thorough evaluations of generative models (e.g., GPT-4), iterate on RAG architectures, and implement improvements to enhance overall performance RAG applications
• Implement monitoring mechanisms to track model performance in real-time and ensure model reliability.
• Communicate AI/ML/LLM/GenAI capabilities and results to both technical and non-technical audiences.
• Stay informed about the latest trends and advancements in the latest AI/ML/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 and 3+ years applied experience
• 7+ years of experience delivering products, projects, technology applications with experience managing technical platforms infrastructure and/or data-focused capabilities.
• Formal training or certification on software engineering concepts and 5+ years of applied experience.
• Experience in applied AI/ML engineering, with a track record of developing and deploying business critical machine learning models in production.
• Proficient in programming languages like Python for model development, experimentation, and integration with OpenAI API.
• Experience with machine learning frameworks, libraries, and APIs, such as TensorFlow, PyTorch, Scikit-learn, and OpenAI API.
• 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.)
• Good understanding of fundamentals of statistics, machine learning (e.g., classification, regression, time series, deep learning, reinforcement learning).
• Proficient in identifying and addressing AI/ML/LLM/GenAI challenges, implement optimizations and fine-tune models for optimal performance in NLP applications.

Preferred qualifications, capabilities, and skills

• Familiarity with modern front-end technologies
• Familiarity with the financial services industries infrastructure / cloud .