Artificial Intelligence Deployment Specialist

6 days ago

Ahmedabad, Gujarat, India beBeeDeployment Full time ₹ 9,00,000 - ₹ 18,00,000
Job Overview

We are seeking a highly skilled Artificial Intelligence Deployment Specialist to join our team. The successful candidate will be responsible for deploying and integrating AI models into production environments, ensuring their scalability, reliability, and security.

This is a fantastic opportunity for an experienced professional to work on cutting-edge projects, collaborating with data scientists, software engineers, DevOps, and product teams to streamline AI adoption and ensure maximum impact from our AI-driven solutions.

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).
Required Qualifications:
  • Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • Experience: 3 – 6 years of experience in software engineering, backend development, or MLOps.
  • Skills: Strong proficiency in Python with experience using FastAPI, Flask, or Django.
  • Aptitude: Experience integrating ML models with tools like TensorFlow Serving, TorchServe, ONNX, or custom model wrappers.
  • Certification: Hands-on experience with Docker, Kubernetes, and container orchestration.
  • Soft Skills: Excellent English communication skills – ability to work with cross-functional teams and present technical solutions clearly.

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