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AI/Machine Learning Engineer

Skyline career
Be an Early ApplicantFull Timemid
Sarasota, Florida, US$89k – $107kPosted March 10, 2026

Salary Context

This role offers $89k–$107k. The median for Mid-level data_science roles is $123k–$163k (based on 22 listings). 31% below median.

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PythonJavaRBashShellSQLAWSUnixSparkTensorFlow

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Job Description

Job Overview

We are seeking a dynamic and innovative AI/Machine Learning Engineer to join our forward-thinking technology team. In this role, you will harness the power of artificial intelligence and machine learning to develop cutting-edge solutions that drive business insights and operational excellence. Your expertise will enable the design, implementation, and deployment of sophisticated models that solve complex problems across diverse data environments. If you thrive in a fast-paced environment where your skills can make a tangible impact, this is the perfect opportunity to elevate your career in AI and data science.

Duties

  • Develop, train, and fine-tune machine learning models using frameworks such as TensorFlow and other AI tools to address real-world challenges.
  • Design scalable data pipelines with ETL processes, utilizing tools like Talend, Hadoop, Spark, and Bash scripting to prepare large datasets for analysis.
  • Implement unsupervised learning techniques to uncover hidden patterns and insights within complex data sets.
  • Collaborate with cross-functional teams to integrate AI solutions into existing systems, ensuring smooth model deployment and operational stability.
  • Conduct data mining and database design activities to optimize data storage, retrieval, and analysis processes using SQL, R, SAS, and other analytics tools.
  • Leverage cloud platforms such as AWS for model training, deployment, and management of big data applications.
  • Apply natural language processing (NLP) techniques to develop intelligent language understanding systems for diverse applications.
  • Utilize machine learning frameworks like Spark MLlib or TensorFlow to accelerate model development cycles and improve accuracy.
  • Engage in continuous research on emerging AI trends including quantum engineering concepts to enhance model performance and innovation.
  • Create visual dashboards with Looker or similar BI tools to communicate insights clearly to stakeholders.

Experience

  • Proven experience in developing machine learning models with frameworks such as TensorFlow or similar platforms.
  • Strong programming skills in Python, Java, C, VBA, or Bash (Unix shell), with a focus on data manipulation and automation.
  • Hands-on experience working with big data technologies like Hadoop, Spark, and related ecosystems for large-scale data processing.
  • Solid understanding of database design principles along with proficiency in SQL for querying complex datasets.
  • Familiarity with cloud services such as AWS for scalable model training and deployment environments.
  • Knowledge of natural language processing (NLP), AI algorithms, and machine learning techniques including unsupervised learning methods.
  • Experience integrating machine learning models into production environments ensuring robustness and efficiency.
  • Background in analytics tools like Looker or SAS for generating actionable business insights from data analysis projects.
  • Ability to work collaboratively across teams while managing multiple projects focused on AI-driven solutions. Join us if you're passionate about pushing the boundaries of AI technology! Bring your expertise in big data analytics, machine learning frameworks, database design, and cloud computing to help shape innovative solutions that transform industries worldwide.

Pay: $89,167.95 - $107,385.05 per year

Benefits

  • 401(k)
  • Flexible schedule
  • Health insurance
  • Paid time off
  • Relocation assistance

Work Location: Hybrid remote in Sarasota, FL 34232

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