Machine Learning Engineer Jobs in Texas

Job Summary:

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.

Job Duties:

• 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.

Supervisory Responsibilities:

• 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.

Qualifications, Knowledge, Skills, and Abilities:

Education:

• Bachelor’s degree, required; focus in Information Systems, Data Science or Computer Science, preferred.

Experience:

• 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.

License/Certifications:

• N/A

Software:

• 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.
• 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

Language:

• N/A

Other Knowledge, Skills & Abilities:

• 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.

Keywords: Data Analytics, Business Intelligence, BI, Solution Architect, Data Architect, Synapse, IoT, Machine Learning, PyTorch, TensorFlow, Data Lake, Stream, Cube, Microsoft, SQL Server, Tableau, .Net, C#, Qlik, Power BI, Machine Learning, Azure Data Factory, RedShift, AWS, Redshift, Kinesis, QuickSight, SageMaker, S3, Databricks, AWS Lake Formation, Snowflake, Python, Qlik, Athena, Data Pipeline, Glue, Star Schema, Data Modeling, Performance Tuning, SQL, LLM, Bedrock, SageMaker, Azure Foundry, Google Vertex, RAG.

Join us at BDO, where you will find more than a career, you’ll find a place where your work is impactful, and you are valued for your individuality. We offer flexibility and opportunities for advancement. Our culture is centered around making meaningful connections, approaching interactions with curiosity, and being true to yourself, all while making a positive difference in the world.

At BDO, our purpose of helping people thrive every day is at the heart of everything we do. Together, we are focused on delivering exceptional and sustainable outcomes and value for our people, our clients, and our communities. BDO is proud to be an ESOP company, reflecting a culture that puts people first, by sharing financially in our growth in value with our U.S. team. BDO professionals provide assurance, tax and advisory services for a diverse range of clients across the U.S. and in over 160 countries through our global organization.

BDO is the first large accounting and advisory organization to implement an Employee Stock Ownership Plan (ESOP). A qualified retirement plan, the ESOP offers participants a stake in the firm’s success through beneficial ownership and a unique opportunity to enhance their financial well-being. The ESOP stands as a compelling addition to our comprehensive compensation and Total Rewards benefits offerings. The annual allocation to the ESOP is fully funded by BDO through investments in company stock and grants employees the chance to grow their wealth over time as their shares vest and grow in value with the firm’s success, with no employee contributions.

We are committed to delivering exceptional experiences to middle market leaders by sharing insight-driven perspectives, helping companies take business as usual to better than usual. With industry knowledge and experience, a breadth and depth of resources, and unwavering commitment to quality, we pride ourselves on:

• Welcoming diverse perspectives and understanding the experience of our professionals and clients.
• Empowering team members to explore their full potential.
• Our talented team who brings varying skills, knowledge and experience to proactively help our clients navigate an expanding array of complex challenges and opportunities.
• Celebrating ingenuity and innovation to transform our business and help our clients transform theirs.
• Focus on resilience and sustainability to positively impact our people, clients, and communities.
• BDO Total Rewards that encompass so much more than traditional “benefits.” Benefits may be subject to eligibility requirements.

Equal Opportunity Employer, including disability/vets.