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AI/ML Platform Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI/ML Platform Engineer with a 12+ month contract, located in Concord, CA, or Charlotte, NC. Key skills include Azure, AI/ML, and Kubernetes. Requires 2+ years in Python, Linux, and experience with ML frameworks.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
800
🗓️ - Date discovered
April 3, 2025
🕒 - Project duration
More than 6 months
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Concord, CA
🧠 - Skills detailed
#"ETL (Extract #Transform #Load)" #Linux #AI (Artificial Intelligence) #Project Management #TensorFlow #Agile #Azure #Azure cloud #Libraries #Terraform #Python #Classification #Security #Documentation #Scala #PyTorch #Docker #Data Science #Microservices #Data Storage #ML (Machine Learning) #Monitoring #Kubernetes #Cloud #Storage #Deployment
Role description
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Title- AI/ML(Azure) Platform Engineering

Duration- 12+ months

Location- Concord CA, Charlotte NC

Top Skills- AI/ml , Azure, AKS(Kubernetes Service)

We are seeking a talented AI/ML Platform Engineer with a strong emphasis on Azure Cloud to join our dynamic team. In this role, you will be responsible for designing, implementing, and maintaining AI/ML infrastructure and solutions that leverage the full power of Azure. Your expertise will be crucial in enabling our data scientists and machine learning engineers to develop, deploy, and scale AI models efficiently and effectively.

Key Responsibilities:

   • Build robust AI/ML platforms on Azure, ensuring scalability, reliability, and performance.

   • Develop automated workflows and pipelines for model training, validation, deployment, and monitoring.

   • Work closely with data scientists, ML engineers, and other stakeholders to understand their needs and provide optimal solutions.

   • Continuously optimize the AI/ML infrastructure for cost, performance, and security.

   • Implement monitoring solutions to ensure the health and performance of AI/ML systems, and troubleshoot any issues that arise.

   • Maintain comprehensive documentation of the architecture, workflows, and best practices.

Preferred Qualifications:

   • Proven experience as an AI/ML engineer with a focus on platform engineering and Azure

   • Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch, or Scikit-learn.

   • Experience in Terraform and Helm will be an advantage.

   • Strong understanding of LLMs and proven experience building platforms and applications that leverage them.

   • Experience with CI/CD pipelines, containerization (Docker), and orchestration (Kubernetes).

   • Strong understanding of data storage, processing, and ETL workflows.

   • Knowledge in chunking strategies for vector database

   • Knowledge on classification & Embedding models.

   • Familiarity with Agile methodologies and project management tools.

Desired Qualifications:

   • Excellent problem-solving skills and the ability to work in a fast-paced environment.

   • Strong communication and collaboration skills to work effectively with cross-functional teams.

   • 2+ years of designing, developing, testing, optimizing python microservices using gRPC

   • 2+ years of Python development experience

   • 3+ years of Linux experience

“Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.”