Machine Learning Engineer – Document Digitization (LLMs) Vice President

Are you passionate about leveraging advanced technology to solve complex business challenges As an applied AI/ML 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 a Machine Learning Engineer Document Digitization (LLMs)-Vice President in our organization 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 design development and integration of AI-powered document digitization solutions focusing on extracting information and insights from diverse document types.
• Manage the end-to-end AI/ML lifecycle: model training validation deployment monitoring and continuous improvement in production environments.
• Employ generative AI and large language models (LLMs) to automate and optimize document workflows.
• Build and maintain scalable document digitization pipelines using Python AI frameworks and cloud technologies.
• Provision and manage cloud resources using infrastructure as code tools (Terraform) and AWS services (SageMaker Bedrock).
• Ensure scalability reliability security and compliance of AI/ML solutions adhering to best practices and governance standards.
• Collaborate with cross-functional teams to reimagine legacy document processing systems using generative AI and LLMs.
• Develop and maintain dashboards and reporting tools to monitor digitization accuracy workflow efficiency and business impact.
• Mentor junior engineers and promote best practices in AI/ML software engineering and testing.
• Conduct model validation human-in-the-loop review and implement continuous improvement strategies for digitization accuracy.
• Contribute to communities of practice and explore new and emerging technologies.

Required qualifications capabilities and skills

• Bachelors or Masters in Computer Science Data Science Machine Learning or related field with relevant industry experience.
• Strong proficiency in Python programming; familiarity with Java and front-end technologies ( AngularJS).
• Hands-on experience with AI/ML model development deployment and MLOps practices in production environments.
• Expertise in machine learning frameworks (TensorFlow PyTorch Scikit-learn PyTorch Lightning).
• Knowledge of generative AI models (GANs VAEs transformers diffusion models) and LLMs.
• Experience with AWS cloud platforms (SageMaker Bedrock) containerization (Docker Kubernetes Amazon EKS) and infrastructure as code (Terraform).
• Familiarity with NoSQL databases (Mongo Atlas ElasticSearch OpenSearch Neo4J).
• Experience with agentic coding approaches autonomous code agents and last sprinting code generation.
• Strong understanding of SDLC CI/CD resiliency and security practices.
• Demonstrated ability to accelerate development using AI technologies.
• Experience deploying and maintaining AI/ML solutions in large-scale production environments. and strong problem-solving communication and collaboration skills.

Preferred qualifications capabilities and skills

• Experience in financial services especially investment banking or credit risk operations
• Expertise in agentic AI frameworks prompt optimization and fine-tuning SLMs
• Familiarity with distributed computing data sharing and DDP training
• Experience in design/code reviews and mentoring teams
• AWS Generative AI Developer Professional certification or equivalent