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ML Engineer

Job in Fort Lauderdale, Broward County, Florida, 33336, USA
Listing for: Sanrnd
Full Time, Contract position
Listed on 2026-01-14
Job specializations:
  • Software Development
    Machine Learning/ ML Engineer, AI Engineer, Data Scientist, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 135000 USD Yearly USD 100000.00 135000.00 YEAR
Job Description & How to Apply Below

San R&D Business Solutions LLC | Full time

Sunrise, United States | Posted on 01/07/2026

Work Authorization: Only US Citizens / GC Holders

About the Role:

We are seeking an experienced Machine Learning Engineer to join our team on a contract basis. The ideal candidate should have strong expertise in Python development , hands-on experience building and deploying machine learning models , and proven ability to operationalize ML solutions through APIs on Google Cloud Platform (GCP) . This role requires end-to-end ownership of ML systems, from data preparation and model development to deployment, monitoring, and integration into production environments.

Key Responsibilities:
  • Design, develop, and maintain machine learning models using Python
  • Perform data preprocessing, feature engineering, model training, evaluation, and optimization
  • Build and manage end-to-end ML pipelines including training, validation, deployment, and monitoring
  • Develop, deploy, and maintain RESTful APIs and Python-based microservices to serve ML models
  • Integrate ML solutions into enterprise applications and workflows
  • Deploy and manage ML workloads on Google Cloud Platform (GCP)
  • Utilize GCP services such as Vertex AI, Cloud Run, Cloud Functions, Big Query, and Cloud Storage
  • Ensure scalability, performance, reliability, and security of deployed solutions
  • Collaborate with cross-functional teams including product, data, and engineering
  • Troubleshoot and resolve issues across the ML and application stack
Required Skills &

Qualifications:
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience)
  • 3–7 years of experience as a Machine Learning Engineer or Python Backend Engineer
  • Strong proficiency in Python, with ability to write clean, optimized, production-quality code
  • Hands-on experience with ML libraries such as Num Py, Pandas, Scikit-learn
  • Experience building, training, and deploying machine learning models
  • Strong understanding of the machine learning lifecycle and pipelines
  • Experience developing RESTful APIs or microservices using FastAPI, Flask, or similar frameworks
  • Practical experience deploying applications and ML models on Google Cloud Platform (GCP)
  • Familiarity with version control systems (Git)
  • Strong problem-solving, debugging, and communication skills
Preferred

Skills:
  • Experience with PyTorch or Tensor Flow
  • Exposure to Generative AI, Large Language Models (LLMs)
  • Hands-on experience with Lang Chain, Lang Graph, or similar AI frameworks
  • Familiarity with AI agent architectures and modern ML frameworks
  • Experience with cloud-native architectures, containerization, and CI/CD pipelines
  • Knowledge of vector databases and ML model monitoring tools
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