AI Systems Architect

16 hours ago

Aligarh, Uttar Pradesh, India beBeeIntegration Full time ₹ 13,80,000 - ₹ 24,30,000
Job Title: AI Integration Engineer

Location: Ahmedabad (Onsite)

Shift Time: 2:00 PM – 11:00 PM IST

Experience Required: 3 – 6 Years

We are seeking a skilled and detail-oriented AI Integration Specialist to join our team in Ahmedabad. In this role, you will be responsible for deploying and integrating AI/ML models into production environments, ensuring their scalability, reliability, and security.

Key Responsibilities:

  • Deploy and Integrate AI Models: Collaborate with AI/ML teams to deploy machine learning models into applications and services.
  • Build APIs and Microservices: Design and implement APIs, SDKs, and microservices that enable seamless AI model consumption.
  • Ensure Reliability: Maintain high availability, scalability, and security of AI services in production.
  • Monitor & Maintain Models: Implement CI/CD pipelines, observability tools, and monitoring systems to track and improve model performance.
  • Automate Workflows: Build automated pipelines for model retraining, versioning, and rollback.
  • Optimize Performance: Implement caching strategies, model compression, and other techniques to improve inference speed and system efficiency.
  • Cloud & Hybrid Infrastructure: Work with AWS, GCP, or Azure environments and support hybrid setups (cloud + on-prem).
  • Collaborate Cross-Functionally: Partner with DevOps, software engineers, and product teams to integrate AI capabilities smoothly into products and services.

Required Qualifications:

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3 – 6 years of experience in software engineering, backend development, or MLOps.
  • Strong proficiency in Python with experience using FastAPI, Flask, or Django.
  • Experience integrating ML models with tools like TensorFlow Serving, TorchServe, ONNX, or custom model wrappers.
  • Hands-on experience with Docker, Kubernetes, and container orchestration.
  • Understanding of CI/CD pipelines, MLOps practices, and model lifecycle management.
  • Familiarity with cloud platforms (AWS, GCP, Azure) and their AI/ML services.
  • Excellent English communication skills – ability to work with cross-functional teams and present technical solutions clearly.

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