Job Description :

Job Title: AI Solutions Lead Specialist Engineer
Location: Orlando, FL
Experience Required: 12+ Years
Employment Type: Contract
Interview Type: In-Person or Webcam

Job Overview

We are seeking an experienced AI Solutions Lead Specialist Engineer to architect, design, and deliver end-to-end AI and machine learning solutions. The ideal candidate will have extensive hands-on experience with AI/ML model development, cloud-based deployments, and leading technical teams. This role involves working closely with cross-functional teams to translate business objectives into scalable AI solutions and ensure high-quality delivery.

Key Responsibilities
  • Lead design and development of AI/ML solutions, including model architecture, training, tuning, and deployment.

  • Collaborate with product owners, business teams, and data engineering teams to gather requirements and define solution strategies.

  • Build, deploy, and optimize machine learning models using modern frameworks and cloud platforms.

  • Oversee full lifecycle of AI projects, including data preparation, feature engineering, testing, and implementation.

  • Guide team members with technical leadership, best practices, and hands-on mentoring.

  • Evaluate emerging AI technologies, tools, and methodologies to support innovation.

  • Implement MLOps practices for automated model deployment, monitoring, and performance tracking.

  • Ensure model security, ethical standards, and compliance with data governance requirements.

  • Present complex technical concepts and project results to stakeholders and senior leadership.

Required Qualifications
  • 12+ years of professional experience in AI, Machine Learning, Data Science, or related engineering fields.

  • Proven experience designing and deploying AI/ML solutions in production environments.

  • Strong proficiency in Python and experience with ML frameworks such as TensorFlow, PyTorch, Scikit-learn, Keras, or similar.

  • Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud including AI/ML services.

  • Strong knowledge of data engineering concepts, SQL/NoSQL databases, data pipelines, and ETL processes.

  • Experience implementing MLOps using tools such as Docker, Kubernetes, MLflow, Kubeflow, SageMaker, Vertex AI, or Databricks.

  • Ability to lead technical teams and manage end-to-end project delivery.

  • Excellent problem-solving and communication skills.

Preferred Skills
  • Experience with generative AI technologies, LLMs, and RAG-based architectures.

  • Prior experience integrating AI solutions into enterprise applications and APIs.

  • Familiarity with NLP, computer vision, deep learning, and predictive analytics.

  • Experience with DevOps tools such as Git, Jenkins, CI/CD pipelines.

  • Background in mathematics, statistics, or advanced algorithmic design.

  • Previous experience in a leadership or architect-level role.

             

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