About this opportunity
Techvilla Solutions lists this Data Scientist opportunity in Sunny Isles Beach, Florida. Review the employer’s description below for duties, qualifications and application requirements.
Job description
Required Technical Skills and Qualifications
4+ years of experience in data science, machine learning, statistical modeling, or advanced analytics.
Strong hands-on experience with Python for data analysis, machine learning, automation, and AI application development.
Strong proficiency in SQL, including complex queries, data extraction, transformation, and analysis.
Hands-on experience with Apache Spark and PySpark for distributed data processing and large-scale data analytics.
Experience developing generative AI solutions and intelligent automation workflows to improve business processes and operational efficiency.
Practical experience building AI-powered applications using LLMs, including prompt engineering and integration of AI capabilities into business applications.
Familiarity with RESTful API design, development, and integration to connect AI solutions with enterprise systems.
Understanding of containerization and application deployment technologies, such as Docker and Kubernetes.
Familiarity with modern front-end frameworks, such as React or Angular, and the development of user-facing applications.
Understanding of deploying, testing, monitoring, and optimizing AI/ML models and applications in production environments.
Key Responsibilities
Analyze large and complex datasets to identify trends, patterns, and actionable business insights.
Develop, implement, and optimize machine learning models and advanced analytical solutions.
Build scalable data processing and analytics pipelines using Python, SQL, Apache Spark, and PySpark.
Design and develop AI-powered applications using generative AI technologies and large language models.
Implement intelligent automation solutions to streamline business workflows and improve operational efficiency.
Integrate LLMs and AI/ML capabilities into applications using APIs and related frameworks.
Collaborate with engineering, product, and business teams to translate requirements into scalable data science and AI solutions.
Support application deployment, testing, troubleshooting, and performance optimization.
Contribute to the development of user-facing applications that incorporate AI-driven capabilities.
Follow best practices for code quality, data security, scalability, and responsible AI development.
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.