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AI / ML Engineer #981755

AI / ML Engineer #981755

DexianSeffner, Florida, United States
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AI / ML Engineer – Databricks (Hybrid)

  • Location : Seffner, FL
  • Employment Type : Full-Time | Hybrid (on-site 2–3 days per week)
  • Department : Data & Analytics / AI Engineering

Position Summary

We are seeking an experienced AI / ML Engineer to design, develop, train, and deploy machine learning solutions addressing real-world business challenges. The ideal candidate is proficient with Databricks within the Azure ecosystem, demonstrating expertise in Spark, Delta Lake, and MLflow. You will own all phases of the machine learning lifecycle—from data exploration and feature engineering to model training, validation, deployment, and monitoring—while collaborating with cross-functional teams to drive measurable impact through AI.

This position is based in Seffner, FL, with a hybrid work arrangement and opportunities for professional growth in a supportive, learning-driven environment.

Key Responsibilities

  • Perform exploratory data analysis, feature engineering, and data preprocessing using Python and SQL within Databricks Notebooks.
  • Build, train, and maintain machine learning models using Databricks and integrate with Azure services as needed.
  • Leverage MLflow for experiment tracking, model versioning, registration, and deployment.
  • Deploy and monitor models across development, testing, and staging environments using Databricks Model Serving.
  • Apply MLOps principles to ensure reproducibility, scalability, and maintainability throughout the ML lifecycle.
  • Collaborate with data engineers to ensure data quality and availability, and with BI developers to embed predictive insights into Power BI dashboards.
  • Conduct requirements gathering and solution design discussions with business stakeholders.
  • Apply emerging prompt engineering techniques (e.g., chain-of-thought, tree-of-thought, prompt chaining) to enhance LLM-based use cases.
  • Document code, workflows, and experiments clearly and consistently.
  • Participate in Agile sprint meetings, proactively report progress, and engage in peer reviews and mentorship sessions.

    • Qualifications

    Education

  • Bachelor’s degree in Computer Science, Data Science, Engineering, Statistics, Mathematics, or a related quantitative field preferred.
  • Certifications such as Databricks AI Engineering Associate, Databricks ML Engineering Associate, or Azure AI Engineer Associate are highly desirable.

    • Experience

  • 2–4 years of hands-on experience developing and deploying AI / ML models using Python.
  • Proven experience working within a cloud environment (preferably Azure; AWS / GCP acceptable).
  • Strong background in Databricks for data processing and machine learning.
  • Practical understanding of software engineering best practices and version control (Git).

    • Technical Skills

  • Languages & Tools : Python, SQL, Git
  • Databricks Services : Spark, Delta Lake, MLflow
  • Databases : Azure SQL, Delta Tables, or other relational data stores
  • Cloud Platforms : Azure (preferred), AWS, or GCP
  • Libraries : scikit-learn, pandas, NumPy, matplotlib / seaborn
  • Familiarity with LLMs, generative AI, and emerging agentic AI concepts is a plus.

    • Soft Skills & Competencies

  • Strong analytical and problem-solving skills with high attention to detail.
  • Clear communication skills (verbal and written) with the ability to collaborate across teams.
  • Self-starter who can work independently on moderately complex projects.
  • Organized and capable of managing multiple concurrent tasks effectively.
  • Growth-oriented mindset, eager to learn and adopt new AI / ML tools and practices.
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    Engineer • Seffner, Florida, United States

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