AI/ML Engineer

BDO USA, P.C.•Houston, TX

About The Position

This position works with cutting edge technology, deliver high quality solutions across various industries and collaborate with teams on engagements that range in size and scope. This position receives continuous career development opportunities, given the size and potential of client engagements. This role performs hands-on delivery of enterprise AI solutions including Generative AI applications, AI agents, retrieval-augmented generation (RAG) architectures, multimodal systems, cloud-native AI platforms, and traditional AI/ML solutions.

Requirements

Bachelor’s degree, required; focus in Information Systems, Data Science or Computer Science, preferred
Five (5) or more years of experience within Artificial Intelligence, Data Analytics, Business Intelligence, Machine Learning, Application Development, required
One (1) or more years of experience technically leading development projects, preferred
One (1) or more years of consulting experience or implementation of cloud-based data analytics and AI solutions, preferred
Strong experience with AI/ML model lifecycle, required
Experience with enterprise AI platforms such as Azure AI Foundry, Azure OpenAI Service, AWS Bedrock, AWS SageMaker, or Google Vertex AI, required
Strong experience with Large Language Models (LLM), prompt engineering, retrieval-augmented generation (RAG), vector databases, and AI orchestration frameworks, required
Strong SQL skills including Data Definition Language (DDL), Data Manipulation Language (DML), views, functions, stored procedures, or performance tuning, required
Ability to work with a high degree of professionalism and autonomy
Excellent verbal and written communication skills
Solid organizational skills, especially the ability to meet project deadlines with a focus on details
Ability to successfully multi-task while working independently or within a group environment
Ability to work in a deadline-driven environment, and handle multiple projects simultaneously
Ability to interact effectively with people at all organizational levels of the Firm
Ability to effectively interact with a team of professionals and delegating work assignments, as needed
Ability to build and maintain strong relationships with internal and client personnel

Nice To Haves

Experience with one (1) or more of the following computer languages, preferred: C#, Python
Hands on delivery experience of end-to-end cloud data analytics solutions within Azure or AWS, preferred
Experience with Data Warehousing, Data Modeling, Semantic Model Definition or Star Schema Construction, preferred
Experience with tabular modeling within Power BI or Azure Analysis Services, preferred
Experience with Git, DevOps, and MLOps deployment technologies, preferred
Experience with Linux, preferred
Experience with one (1) or more of the following, preferred: AI Algorithms/Machine Learning, Computer Vision based AI technologies

Responsibilities

Designs, and implements best in class solutions that include AI and cognitive services, ML models, data ingestion strategies, semantic layers and models, visualizations, streaming processes, API integrations, and automation (RPA) solutions for end-to-end data analytics solutions on primarily, but not limited to, cloud analytics platforms such as Azure and AWS
Leverage multiple Large Language Models (LLM) to enhance natural language processing capabilities and develop advanced AI applications.
Designs and implements solutions incorporating retrieval-augmented generation (RAG) architectures and multimodal embeddings to enhance AI-driven insights by combining text, images, and structured data sources
Listens to client needs to align solutions with business requirements and delivery schedules
Creates written functional and technical designs
Participates in project status and stand meetings, and assists with providing aggregated project status for project and program managers
Assists with SLA compliance of solutions, and performs performance tuning and optimization efforts of end-to-end solutions
Writes code using multiple languages and correctly applies frameworks, architectural patterns, and software development principles
Delivers high-performance, scalable, repeatable, and secure deliverables with broad impact (high throughput and low latency)
Assists with implementation of governance programs and best practices
Performs the cleaning and transforming of data from source systems into analytics models
Implements models to support data visualizations and integrations
Implements MLOps, LLMOps, AgentOps, DevOps, and DataOps practices including model evaluation, prompt versioning, continuous deployment, monitoring, and lifecycle management of AI solutions
Writes custom integration logic in applicable programming languages
Assists project managers with work breakdown structure creation, project estimation, resource staffing, workload planning and adjustments throughout the project lifecycle
Assists clients with licensing, security, and cost estimation of solutions
Performs code reviews to ensure adherence to standards
Works directly with clients and team members to establish secure data analytics platforms and infrastructure
Contributes to successful deployments of developed solutions and integration of DevOps, AIOps, and MLOps tools
Maintains a broad and current understanding of data analytics and business intelligence strategies, cloud platforms, methodologies, and tools
Builds client relationships during project execution, effectively becoming a trusted advisor of the client
Participates in support activities for existing software solutions
Other duties as assigned
Mentors and advises the day-to-day workload of Associates on assigned engagements to ensure that timelines and deliverables are met, and reviews work product