Lead AI/ML Engineer

Job Title: Lead AI/ML Engineer

Location: St Petersburg, FL Headquarters; Denver, CO might be considered

Job Type: Permanent hire

Job Summary:

The Lead AI/ML Engineer will work closely with various business teams, Data Engineering, Data

Science, Infrastructure teams to establish an AI/ML strategy and an AI/ML Platform which

accelerates and standardizes AI/ML development for the enterprise. The Lead AI/ML engineer

will be defining and refining the overall AI/ML Strategy for the firm working with the various

product teams, business units, multiple data science teams, data and analytics teams and

infrastructure teams. The Lead AI/ML engineer will establish the tools and solutions to enable

AI/ML platforms and infrastructure, by partnering with various stakeholders across the

organization. This will be a hybrid-based position in our St Petersburg, FL headquarters.

Essential Duties and Responsibilities:

• Develops an enterprise AI/ML Strategy by working with various business units, data scientists, data and analytics teams, infrastructure and other stakeholders across the organization.
• Develops an AI/ML platform which will accelerate time to market in applying AI towards our business goals, democratize AI/ML, promote innovation, allow high skilled Data Scientists to focus on data science and help scale AI/ML with the right governance and security.

• Understands the overall data strategy, enterprise data stores, and establishes solutions to enable easy and consistent access to the data, for the scale of AI/ML development.
• Develops an AI/ML governance and be able to explain the framework.
• Develops a ML Ops end to end process which will enable model development, training, deployment, monitoring and inference.
• Develops solutions which will integrate AI/ML platforms and solutions with the various
• Analytical tools used to analyze and visualize data.
• Builds solutions on the cloud to leverage various cloud-based solutions to build resilient, scalable solutions.
• Develops solutions to seamlessly provision optimized infrastructure such as GPUs so that the
• Data Scientists can execute ML models against optimal infrastructure without infrastructure provisioning bottlenecks.
• Leads various POCs to establishing a cloud-based AI/ML Platform, Conversational/NLP based
• AI platforms and solutions and leads delivery of critical AI/ML initiatives across the firm.
• Delivers projects to successful completion as defined by predetermined project success criteria including those established by the business, ensuring that projects are delivered on time and within budget.
• Lead, coach, and develop team, while creating a vision for team and educating cross functional teams on how to leverage data to identify opportunities to increase revenue and performance.
• Ability to work with multiple stakeholders and deliver solutions in an agile and nimble manner.
• Drives IT solutions to ensure they meet the business needs balanced with a pragmatic and integrated approach to the design of technical solutions.
• Focuses on workforce development and ensures that a strong team is built.
• Remains up to date on key technology, business, and industry trends.
• Performs other duties and responsibilities as assigned.

Experience and Skills:

• Minimum bachelor’s degree in computer science, MIS, or related degree and a minimum of five (5) years of relevant development or engineering experience or combination of education, training, and experience.
• Experience developing and deploying ML solutions in a public cloud such as AWS, Azure, or Google Cloud Platform.
• 3+ years of experience in developing AI/ML infrastructure and MLOps in the Cloud using solutions such as AWS SageMaker.
• Strong hands-on experience with AWS AI/ML services such as SageMaker, Comprehend, Rekognition, and others.
• Experience in Object Oriented Programming (Python or similar Java), SQL, Unix scripting or related programming languages and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, tensorflow, etc).
• Experience with Conversational AI products such as Kore.AI is preferred.
• Experience with deploying, optimizing and managing AI/ML models in production.
• Experience with CI/CD tools (e.g., Jenkins or equivalent) and version control (Git).
• Strong understanding of machine learning algorithms, model evaluation, and optimization techniques.
• Experience with data intensive analytical solutions leverages relational (Redshift, Oracle), nonrelational (Postgres, Aurora, Graph databases) and search-based data platforms (SOLR, Open Search).
• Understanding of data engineering and ETL processes.
• Strong problem-solving skills, excellent written and verbal communication skills, and the ability to work in a fast-paced, dynamic environment.
• Financial Services experience is preferred.