Description
What is the opportunity?
The Senior AI Engineer will work on the development and deployment of cutting‑edge machine learning models, drive innovation, and collaborate with cross‑functional teams to support business growth and improvement. The candidate will have a strong background in machine learning models and algorithms, software development and leadership, with a proven track record of delivering high‑quality solutions that meet business needs. The role is part of an Agile squad and will collaborate closely with product owners, data scientists, designers, quality engineers and other ML engineers.<br/><br/>What will you do?<br/><br/>Develop and optimize predictive models for Caribbean use cases such as document automation, customer segmentation, or risk assessment.<br/><br/>Implement robust machine‑learning pipelines that enable scalable, reliable, and low‑downtime deployment of models into production.<br/><br/>Collaborate with data scientists, product managers, and software engineers to integrate AI models into existing workflows and applications.<br/><br/>Build automated CI/CD pipelines for the machine‑learning model lifecycle, ensuring efficient testing, versioning, and deployment of new features or updates.<br/><br/>Continuously evaluate deployed models’ performance, accuracy, and fairness; implement monitoring to detect and mitigate model drift or biases.<br/><br/>Maintain comprehensive documentation of models, pipelines, and processes.<br/><br/>Support production applications in a Site Reliability Engineering capacity, providing after‑hour support as needed and maintaining operational metrics and monitoring to meet service level agreements.<br/><br/>Deliver software engineering practices that enhance operational efficiency and reduce incidents.<br/><br/>Stay abreast of emerging technologies, share knowledge with teams, and apply new advancements to improve systems and develop new solutions.<br/><br/>What do you need to succeed?
Must Have<br/><br/>Strong programming skills in Python, Java, or C++; experience with AWS, GCP, Azure, and MLOps tools.<br/><br/>2+ years of hands‑on model development and optimization, with knowledge of advanced ML techniques and experience with frameworks such as Hugging Face Transformers, LangChain, or OpenAI APIs.<br/><br/>Solid understanding of NLP tasks such as entity recognition, summarization, and text classification.<br/><br/>Experience evaluating large‑language‑model performance using relevant metrics.<br/><br/>Proficiency in creating, maintaining, and troubleshooting DAGs for scheduling and orchestrating ML workflows; experience integrating Airflow with cloud data storage and ELT pipelines.<br/><br/>Background in data and AI/ML space preferred.<br/><br/>Experience with data pipelines using Apache Spark or Pandas for structured and unstructured data.<br/><br/>Knowledge of cloud services for ML, such as AWS SageMaker, S3, Lambda, and related training, deployment, and workflow management.<br/><br/>Strong understanding of software development principles, including design patterns, testing, deployment, and DevOps practices such as CI/CD and containerization with Docker and Kubernetes.<br/><br/>Awareness of application implementation requirements, risk, privacy, and compliance.<br/><br/>Excellent communication skills and ability to work effectively with cross‑functional teams.<br/><br/>Nice to Have<br/><br/>Adaptability, critical thinking, and a growth mindset.<br/><br/>Management, collaboration, and strong verbal and written communication skills.<br/><br/>Team contributor who cares about team members.<br/><br/>Graduate degree in science, mathematics, statistics, or engineering.<br/><br/>What’s in it for you?<br/><br/>A comprehensive total rewards program, including bonuses, flexible benefits, competitive compensation, commissions, and stock where applicable.<br/><br/>Leadership support through coaching and management development opportunities.<br/><br/>Opportunity to make a lasting impact and difference for clients and communities.<br/><br/>Work in a dynamic, collaborative, and high‑performing team.<br/><br/>Access to a world‑class training program in financial services.<br/><br/>Flexible work/life balance options.<br/><br/>Challenging, growth‑oriented work with increasing responsibilities.<br/><br/>Opportunity to build close relationships with clients and access to a variety of career opportunities across business units and geographies.<br/><br/>#J-18808-Ljbffr
