AI​/Machine Learning Data Engineer

Acosta Group is seeking a highly skilled and adaptable AI/ML Data Engineer to design, develop, deploy, and support AI-powered solutions that enhance Acosta’s internal operations and decision-making capabilities. This role combines deep technical expertise with a strong focus on scalability, reliability, and integration across enterprise platforms such as Azure AI, Power Platform, and Copilot Studio.

• Design, develop, and deploy AI/ML models and intelligent automation solutions that support internal business operations and strategic initiatives.
• Build and integrate REST/Graph
  
  QL APIs to serve AI/ML models.
• 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.
• Contribute 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.
• Evaluate 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.

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.

• Bachelor’s Degree in Technology Industry is preferred or equivalent work experience.
• High School Diploma/GED is required.
• Two (2) or more years of professional experience in Machine Learning, Data Science, or Software Engineering.
• Microsoft Exam AI‑102:
  Designing and Implementing an Azure AI Solutions (preferred).

• Programming:
  Proficiency in Python (must) and SQL for data manipulation, querying, and automation.
• Data Warehousing:
  Solid understanding of data warehouse concepts, including dimensional modeling (fact and dimension tables).
• Agentic Frameworks:
  Knowledge of AI agent frameworks and orchestration (e.g., Lang Chain).
• LLMs & Generative AI:
  Strong understanding of Large Language Models, fine‑tuning, and RAG pipelines.
• 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.

• Seeing
• Listening

• People Minded – Must…