Overview
ONLY VIEWING MIAMI-DATE APPLICANTS
About the Company
StageWood Consortium, a South Florida-based startup dedicated to revolutionizing the entertainment industry through a new social media platform, is seeking a dynamic and enthusiastic AI/Machine Learning Data Engineer. In this role, you will engage in hands-on data platforms and applications, fostering teamwork and collaboration with both development and marketing teams.
Job Description
We are seeking a highly skilled AI/Machine Learning Data Engineer to develop and enhance the recommendation engine and virtual assistant that powers our social media platform. This role requires a deep understanding of machine learning algorithms and a passion for data-driven problem solving.
Local Applicants Only
Remote or hybrid work options are not available.
This is an ONSITE position.
Monday to Friday, from 9 am to 5 pm.
Responsibilities
• Design, develop, and implement machine learning models and data pipelines to support AI-driven solutions.
• Develop and maintain ETL pipelines for both batch and real-time data processing using tools like Apache Spark, Kafka, and related big data frameworks.
• Work with graph databases such as AWS Neptune to query and analyze graph-structured data using SPARQLand Gremlin.
• Build and optimize scalable APIs and data-driven services with PostgreSQL and other modern databases.
• Perform model deployment, monitoring, and optimization using cloud platforms like AWS and tools like SageMaker.
Required Qualifications:
• Education: Enrolled or completed a bachelor’s degree in Computer Science, Data Science, Artificial Intelligence, or a related field.
• Experience: 1-3 years of experience in internships or professional roles related to machine learning, data engineering, or AI.
Technical Skills:
• Machine Learning: Proficiency in building, training, and deploying machine learning models using frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Big Data & Distributed Systems: Hands-on experience with Apache Spark for distributed data processing, PySpark, or Spark MLlib for scalable machine learning.
• Graph Databases: Knowledge of querying and working with graph databases like AWS Neptune, SPARQL, and Gremlin.
• Backend Engineering: Solid experience with backend technologies, including TypeScript, React, Node.js/Fastify, and PostgreSQL.
• Cloud & DevOps: Experience with AWS services (e.g., S3, EC2, Lambda, SageMaker, AWS Personalize) and containerization technologies (e.g., Docker, Kubernetes).
• Real-Time & Batch Processing: Knowledge of building real-time data pipelines using Apache Kafka and batch pipelines with Apache Spark or Airflow.
Preferred Qualifications:
• Experience in Data Lakes: Familiarity with data lakes such as AWS S3 or Delta Lake, and integrating them into machine learning workflows.
• Model Deployment: Experience deploying machine learning models using MLOps tools, including CI/CD pipelines.
• Data Visualization: Ability to visualize data insights and ML results using tools like Plotly, Tableau, or Dash.
Soft Skills:
• Strong problem-solving skills with the ability to debug, troubleshoot, and improve systems.
• Excellent communication and collaboration skills, working effectively in a cross-functional team environment.
• Ability to learn quickly and stay updated on the latest advancements in AI/ML and related technologies.
If you are passionate about AI and machine learning, have a keen interest in the entertainment industry, and meet the above qualifications, we encourage you to apply. Join StageWood Consortium on its journey to redefine social media in the entertainment sector!
Company:
Stagewood Consortium, Inc
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
