Are you passionate about leveraging advanced technology to solve complex business challenges? As a Senior Software Engineer, you will have the opportunity to shape the future of document management through cutting-edge AI and machine learning. Join a collaborative team where your expertise will drive impactful solutions and strategic outcomes. This role offers a platform to innovate, lead, and make a difference across the organization.

As an Applied AI/ML lead in the Digital Document Management team, you will design, develop, and deploy secure, scalable, and innovative technology products that transform how documents are processed and managed. You will use advanced AI and machine learning to extract, analyze, and manage information, driving strategic business outcomes. You will collaborate with cross-functional teams, mentor others, and continuously seek opportunities for improvement and innovation.

Job responsibilities

Lead the development and integration of AI-powered document management solutions, focusing on extracting information and insights from diverse document typesEmploy advanced natural language processing, generative AI, and large language models to automate and optimize document workflowsCollaborate with business systems to ensure seamless integration and data flowDesign, implement, and deploy machine learning models and algorithms to enhance document processing and prediction capabilitiesOversee the full MLOps lifecycle, including model design, experimentation, deployment, monitoring, and maintenance in production environmentsEnsure scalability, reliability, and security of AI/ML solutionsAnalyze large, complex datasets to extract actionable insights and inform business decisionsDevelop effective visualizations and reporting tools to communicate findings to stakeholdersMentor junior engineers and promote best practices in AI/ML, software engineering, and testingWork closely with cross-functional teams to translate business needs into technical solutionsContribute to communities of practice and explore new and emerging technologies

Required qualifications, capabilities, and skills

Master’s or Ph.D. in Computer Science, Data Science, Machine Learning, or related field, with relevant industry experienceHands-on experience in Python programming; familiarity with Java and front-end technologies (React.JS, AngularJS)Experience with NoSQL databases (Mongo Atlas, ElasticSearch, OpenSearch, Neo4J)Proficiency in machine learning frameworks (TensorFlow, PyTorch, Scikit-learn, Pytorch Lightning)Knowledge of generative AI models (GANs, VAEs, transformers, diffusion models)Experience with MLOps practices and cloud platforms (AWS SageMaker, Bedrock, GCP, Azure)Skills in containerization and orchestration (Docker, Kubernetes, Amazon EKS)Solid understanding of software development life cycle, agile methodologies, and data engineeringExperience deploying and maintaining AI/ML solutions in large-scale, production environmentsStrong problem-solving, communication, and collaboration skills

Preferred qualifications, capabilities, and skills

Experience in financial services, especially investment banking or credit risk operationsExpertise in agentic AI frameworks, prompt optimization, and fine-tuning SLMsFamiliarity with distributed computing, data sharing, and DDP training

Experience in design/code reviews and mentoring teams