

Kodeva LLC
Senior AI/ML Data Scientist
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior AI/ML Data Scientist (Contract) in Miami, FL (Hybrid - 3 days onsite) with a pay rate of "unknown." Requires 7+ years of experience, expertise in Python, Deep Learning frameworks, and cloud deployment. Master's or PhD preferred.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
January 19, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Miami, FL
-
π§ - Skills detailed
#Distributed Computing #Cloud #Libraries #SageMaker #Docker #Spark (Apache Spark) #Data Science #AI (Artificial Intelligence) #Data Engineering #Computer Science #Statistics #TensorFlow #Leadership #Scala #ML (Machine Learning) #GCP (Google Cloud Platform) #AWS (Amazon Web Services) #PyTorch #Pandas #NLP (Natural Language Processing) #Python #Mathematics #MLflow #Model Validation #Programming #NumPy #Version Control #Azure #PySpark #Deep Learning #"ETL (Extract #Transform #Load)"
Role description
Role: Senior AI/ML Data Scientist (Contract)
Location: Miami, FL (Hybrid - 3 days onsite)
Level: Senior / Lead
About the Role
We are seeking a seasoned Senior Data Scientist with a deep specialization in AI/ML to join our team in Miami. You will be responsible for architecting, developing, and deploying production-grade machine learning models that solve complex business challenges. As a senior contractor, you will bring technical leadership to our Python-based ecosystem and help accelerate our AI roadmap.
Key Responsibilities
β’ Model Development: Design and implement end-to-end ML pipelines using Python, focusing on scalability and performance.
β’ AI Innovation: Leverage Generative AI (LLMs), NLP, or Computer Vision (depending on project needs) to build transformative features.
β’ Data Engineering Collaboration: Partner with data engineers to optimize data collection, feature engineering, and MLOps workflows.
β’ Technical Leadership: Provide architectural guidance and ensure best practices in coding, version control, and model validation.
β’ Stakeholder Impact: Translate abstract business problems into technical requirements and present data-driven insights to executive leadership.
Required Qualifications
β’ Experience: 7+ years of professional experience in Data Science and Machine Learning.
β’ Programming: Mastery of Python and core libraries (Pandas, NumPy, Scikit-learn).
β’ Frameworks: Hands-on expertise with Deep Learning frameworks such as PyTorch or TensorFlow.
β’ Cloud & MLOps: Proven experience deploying models on cloud platforms (AWS/SageMaker, Azure ML, or GCP/Vertex AI) and using tools like Docker or MLflow.
β’ Education: Masterβs or PhD in Computer Science, Statistics, Mathematics, or a related field.
Preferred Skills
β’ Experience with Generative AI and RAG (Retrieval-Augmented Generation) architectures.
β’ Knowledge of distributed computing (Spark/PySpark).
β’ Previous experience in the Miami tech ecosystem or Florida-based industries (Finance, Logistics, or Hospitality).
Role: Senior AI/ML Data Scientist (Contract)
Location: Miami, FL (Hybrid - 3 days onsite)
Level: Senior / Lead
About the Role
We are seeking a seasoned Senior Data Scientist with a deep specialization in AI/ML to join our team in Miami. You will be responsible for architecting, developing, and deploying production-grade machine learning models that solve complex business challenges. As a senior contractor, you will bring technical leadership to our Python-based ecosystem and help accelerate our AI roadmap.
Key Responsibilities
β’ Model Development: Design and implement end-to-end ML pipelines using Python, focusing on scalability and performance.
β’ AI Innovation: Leverage Generative AI (LLMs), NLP, or Computer Vision (depending on project needs) to build transformative features.
β’ Data Engineering Collaboration: Partner with data engineers to optimize data collection, feature engineering, and MLOps workflows.
β’ Technical Leadership: Provide architectural guidance and ensure best practices in coding, version control, and model validation.
β’ Stakeholder Impact: Translate abstract business problems into technical requirements and present data-driven insights to executive leadership.
Required Qualifications
β’ Experience: 7+ years of professional experience in Data Science and Machine Learning.
β’ Programming: Mastery of Python and core libraries (Pandas, NumPy, Scikit-learn).
β’ Frameworks: Hands-on expertise with Deep Learning frameworks such as PyTorch or TensorFlow.
β’ Cloud & MLOps: Proven experience deploying models on cloud platforms (AWS/SageMaker, Azure ML, or GCP/Vertex AI) and using tools like Docker or MLflow.
β’ Education: Masterβs or PhD in Computer Science, Statistics, Mathematics, or a related field.
Preferred Skills
β’ Experience with Generative AI and RAG (Retrieval-Augmented Generation) architectures.
β’ Knowledge of distributed computing (Spark/PySpark).
β’ Previous experience in the Miami tech ecosystem or Florida-based industries (Finance, Logistics, or Hospitality).





