Applied AI Integration Engineer

Overview

Remote
$75 - $80
Contract - W2
Contract - 06 Month(s)

Skills

AI/ML
Cloud - AWS
Azure
GCP
API development

Job Details

Immediate need for a talented Applied AI Integration Engineer. This is a 06+months contract opportunity with long-term potential and is located in US (Remote). Please review the job description below and contact me ASAP if you are interested.

Job ID: 25-74917

Pay Range: $75 - $80/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).

Key Responsibilities:

  • System Integration: Integrate AI models and applications into enterprise systems, ensuring compatibility with existing software, databases, and APIs.
  • Model Deployment: Deploy AI/ML models using MLOps tools, ensuring scalability, reliability, and performance in production.
  • API Development: Build and maintain APIs for AI services, enabling seamless interaction between models and applications.
  • Data Pipeline Management: Implement and optimize data pipelines for real-time or batch processing, ensuring data quality and availability for AI models.
  • Monitoring and Maintenance: Set up monitoring for AI models to track performance, drift, and errors, and perform updates or retraining as needed.
  • Collaboration: Work with AI Solutions Architects, data engineers, and DevOps teams to align integration efforts with architectural designs.
  • Troubleshooting: Diagnose and resolve issues related to AI model performance, system compatibility, or data flow.
  • Security and Compliance: Ensure AI integrations adhere to security standards and regulatory requirements (e.g., GDPR, HIPAA).

Key Requirements and Technology Experience:

  • Key Skills; AI/ML
    Cloud - AWS, Azure, Google Cloud Platform
    API development
  • Proficiency in programming languages like Python, Java, or C++.
  • Experience with ML frameworks (TensorFlow, PyTorch) and deployment tools (e.g., Docker, Kubernetes).
  • Strong knowledge of cloud platforms (AWS, Azure, Client Cloud) and services like AWS Lambda or Azure Functions.
  • Expertise in API development using frameworks like FastAPI, Flask, or RESTful services.
  • Familiarity with data pipeline tools (e.g., Apache Airflow, Kafka) and databases (SQL, NoSQL).
  • Understanding of MLOps practices for model deployment and monitoring.
  • Problem-solving to address integration challenges.
  • Collaboration to work effectively with cross-functional teams.
  • Attention to detail for ensuring system reliability and performance.
  • Domain Knowledge:
  • Familiarity with enterprise software ecosystems and integration patterns.
  • Basic understanding of AI/ML concepts, including model training and inference.
  • AWS Certified Developer Associate
  • Microsoft Azure Developer Associate
  • Client Cloud Associate Cloud Engineer
  • Certified Kubernetes Application Developer (CKAD)
  • Coursera s MLOps Specialization or equivalent
  • Bachelor s degree in Computer Science, Engineering, or a related field.
  • 5+ years of experience in software engineering, DevOps, or data engineering, with 2+ years in AI/ML integration.
  • Hands-on experience with cloud-based AI deployments and system integration.


Our client is a leading Manufacturing Industry and we are currently interviewing to fill this and other similar contract positions. If you are interested in this position, please apply online for immediate consideration.

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