Lead Software Engineer (AI/ML)

About the Role

Key Responsibilities

• Responsible for designing, developing, testing, operating and maintaining products.
• Takes full stack ownership by consistently writing production-ready and testable code.
• Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs.
• Applying machine learning and new AI technologies to software products, develop and shape our technical strategy to further grow digital solutions for business banking segment.
• Architect/design infrastructure and software environments needed to both build and run machine learning models and online services.
• Develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models.
• Design and build rule engine, enhance it with AI capabilities.
• Build shared components and/or frameworks that improve engineering productivity across the organization.
• Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments.
• Work with other engineering teams to integrate machine learning models into applications and services.
• Deploy and maintain ML models in production.
• Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and GenAI.

Requirements

• Bachelor's degree, or equivalent work experience.
• Six to eight years of relevant experience.
• Strong programming skills in Python and/or Java.
• Strong SQL skills and database knowledge.
• Experience with large scale real-time data ingestion and processing.
• Clear understanding of big data system concept and design methodology.
• Experience in MLOps, machine learning, and GenAI.
• Experience with AI/ML libraries and frameworks such as scikit-learn, TensorFlow, Keras, and Darts or equivalent.
• Experience with Gen AI (SLM, LLM, embedding and RAG) and frameworks like langchain or equivalent.
• Experience with Azure Synapse, Azure ML Studio, Azure Open AI services, and Databricks.
• Knowledge of modern server architecture such as Spring Boot, Spring.
• Solid theoretical and engineering foundation in computer science, machine learning or computer vision, with hands-on experience in ML pipelines and infrastructure.
• Knowledge of rules-based and machine learning recommender systems.
• Experience in building microservices is a plus.
• Familiarity with Docker/Kubernetes is a plus.

Nice to Have

• Experience in banking industry.
• Experience with microservices architecture.
• Familiarity with Docker/Kubernetes.

Qualifications

• Bachelor's degree or equivalent work experience.
• Six to eight years of relevant experience.

Benefits & Perks

• Healthcare (medical, dental, vision).
• Basic term and optional term life insurance.
• Short-term and long-term disability.
• Pregnancy disability and parental leave.
• 401(k) and employer-funded retirement plan.
• Paid vacation (from two to five weeks depending on salary grade and tenure).
• Up to 11 paid holiday opportunities.
• Adoption assistance.
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year.