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Fullstack Python with AI/ML

This role is a Fullstack Python with AI/ML position based in Charlotte, North Carolina. It offers a contract with a competitive pay rate. Key skills include Python, Java, Angular/React, API development, and experience with cloud platforms and AI/ML frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
February 12, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Charlotte, NC
🧠 - Skills detailed
#React #Java #GCP (Google Cloud Platform) #Data Bricks #Apache Kafka #SQL Server #API (Application Programming Interface) #Cloud #Data Engineering #Deployment #Azure Stream Analytics #JavaScript #Kafka (Apache Kafka) #Jenkins #Agile #"ETL (Extract #Transform #Load)" #TensorFlow #AWS (Amazon Web Services) #Kubernetes #Spark (Apache Spark) #SQL (Structured Query Language) #Databases #AI (Artificial Intelligence) #PyTorch #Neo4J #MongoDB #Public Cloud #Spring Boot #Containers #Angular #Leadership #BitBucket #Azure #PostgreSQL #GitHub #PySpark #Python #ML (Machine Learning)
Role description
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Job Role: Fullstack Python with AI/ML

Location :: Charlotte , North Carolina

Contract

Job Description

Full stack development experience using Python, Java and using containers such as OpenShift. or Kubernetes

User Interface (Ul) experience such as, Angular or React

API development

Agile tools

Event driven development and microservice architecture

Experience using development toolkit including Jenkins, GitHub, and Bitbucket

Experience with Spring Boot, HTML5, JavaScript, API designs

Data streaming experience such as Apache Kafka, Azure Stream Analytics or GCP Data Flow

Experience in ETL workflows, particularly using Pyspark or Spark or Data bricks.

·Working with public cloud platforms (i.e. Google Cloud/Vertex Al, AWS and Azure) and hands on experience with Prompt Engineering, Al/ML frameworks (i.e. Tensorflow, Pytorch)

Technical leadership experience including coaching, training, and mentoring data engineers or software engineers

Engineering testing and analysis experience of private or public Cloud technology services

· Experience in building quick prototypes to check feasibility and value to business.

· Expert in developing and maintaining modular codebase for reusability

· Prod-level deployment of AlOps solutions and demonstrated ability to integrate Al/ML solutions into IT operations workflows.

· Excellent verbal, written, and interpersonal communication skills.

· Knowledge and understanding of relational databases, such as PostgreSQL, SQL Server etc.

· Knowledge and understanding of non-relational databases, such as MongoDB, Neo4j etc.

Years of experience needed