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Acosta Group · 2 weeks ago

AI/Machine Learning Data Engineer

Lewisville, TX

Full-time

Hybrid

Entry, Mid Level

$86K/yr - $110K/yr

2+ years exp

Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance the company's internal operations. This role involves collaboration with cross-functional teams and mentoring business users while ensuring the scalability and reliability of AI solutions across enterprise platforms.

ConsultingMarketingRetail

No H1B

Responsibilities

Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives

API Development & Integration: Ability to build and integrate REST/GraphQL APIs to serve AI/ML models

Vectorization & Embeddings: Expertise in vector databases and semantic search

Collaborate with cross-functional teams to identify, scope, and implement AI use cases using tools such as Azure AI, Power Platform AI Builder, and Copilot Studio

Integrate AI capabilities into enterprise applications and workflows, including Power Apps, Power Automate, and Microsoft 365

Monitor and maintain AI solutions in production, ensuring performance, reliability, and responsible AI practices

Provide second- and third-level support for AI-related incidents, enhancements, and deployments

Partner with infrastructure and security teams to ensure readiness and compliance for AI workloads

Contributes to the development of reusable AI components, templates, and frameworks to accelerate adoption

Mentor and support business users and citizen developers in building and scaling AI-powered solutions

Participate in the evaluation of new AI tools, platforms, and methodologies to support innovation and continuous improvement

Document solution architectures, workflows, and best practices to support knowledge sharing and operational continuity

Support the AI Center of Excellence by contributing to governance, enablement, and enterprise-wide AI strategy

Maintain and enforce change control processes

Assist in developing and maintaining operational standards and best practices

Leverage AI and automation tools for proactive monitoring, anomaly detection, and incident response

Collaborate with AI Solutions Engineers and the AI Center of Excellence to support infrastructure for AI workloads and pilot initiatives

Ensure infrastructure readiness for hybrid cloud and AI platforms (e.g., Azure ML, VMware Private AI, NVIDIA AI Enterprise)

Perform other duties as required and/or assigned

Qualification

PythonSQLAzure AILarge Language ModelsGenerative AIDimensional Data ModelingDatabricksContainerizationMLOpsAnalytical skillsCommunication

Required

Applicants must be legally authorized to work in the United States and/or Canada without the current or future need for employer-sponsored work authorization

High School Diploma/ GED is required

Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering

Proficiency in Python (must) and SQL for data manipulation, querying, and automation

Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables)

Knowledge of AI agent frameworks and orchestration (e.g., LangChain)

Strong understanding of Large Language Models, fine-tuning, and RAG pipelines

Knowledge of machine learning fundamentals, including supervised and unsupervised learning, NLP, and generative AI

Familiarity with MLOps practices and tools for model lifecycle management and monitoring

Understanding of responsible AI principles, including fairness, transparency, and data privacy

Ability to rapidly learn and apply new AI tools and frameworks in a fast-evolving technology landscape

Experience with cloud-based development environments, particularly Microsoft Azure

Ability to support AI solutions in production, including troubleshooting, performance tuning, and incident response

Excellent communication skills (both written and oral) combined with strong interpersonal skills

Strong analytical skills and thought processes combined with the ability to be flexible and work analytically in a problem-solving environment

Preferred

Bachelor's Degree in Technology Industry is preferred or equivalent work experience

Microsoft Exam AI-102: Designing and Implementing an Azure AI Solutions (preferred)

Experience with Databricks, serverless deployments (e.g., Azure Functions), containerization (Docker/Kubernetes), and CI/CD pipelines using Azure DevOps is highly valued