AI Deployment Specialist
3 days ago
Location: Greater Noida, Kasna
Salary: ₹40,000 – ₹70,000 per month
Open Positions: 1
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Role & Responsibilities:
We are looking for an experienced AI Deployment Specialist to join our team. The ideal candidate should have hands-on experience in deploying, scaling, and maintaining AI/ML models in production environments.
AI Deployment & Infrastructure Management:
Deploy AI/ML models on Cloud (AWS, GCP, Azure), On-Premise, and Edge devices.
Manage Docker, Kubernetes, and CI/CD pipelines for AI workflows.
Optimize model latency, scalability, and security for real-time applications.
MLOps & AI Model Lifecycle Management:
Implement continuous training (CT), monitoring, and versioning of AI models.
Ensure model reproducibility, explainability, and ethical compliance.
Automate AI model deployment using Terraform, MLflow, Airflow.
API Development & Integration:
Develop and maintain APIs using Flask, FastAPI, gRPC for AI integration.
Work with databases (SQL, NoSQL, BigQuery, MongoDB) to manage AI data.
Ensure seamless AI model integration with business applications and analytics dashboards.
Security & Performance Optimization:
Implement AI security best practices to protect against adversarial attacks.
Monitor model performance, drift detection, and retraining strategies.
Optimize inference for high-speed processing using TensorRT, OpenVINO.
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Qualifications & Requirements:
Education:
Bachelor's/Master's in Computer Science, Data Science, AI/ML, or Cloud Computing.
Experience:
3+ years of experience in AI/ML model deployment, cloud-based AI solutions, or MLOps.
Hands-on experience with TensorFlow, PyTorch, Kubernetes, Docker, Terraform.
Strong expertise in cloud AI platforms (AWS Sagemaker, GCP AI, Azure ML).
Technical Skills:
Programming: Python, TensorFlow, PyTorch, FastAPI, Bash
Cloud & DevOps: AWS, GCP, Azure, Docker, Kubernetes, CI/CD
AI Security & Governance: Model Explainability, Adversarial Robustness
AI Infrastructure: NVIDIA GPUs, TPUs, Edge AI Deployment
Soft Skills:
Excellent problem-solving and analytical skills.
Strong communication and AI governance understanding.
Ability to work in fast-paced AI-driven environments.
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Why Join Us?
Work on cutting-edge AI deployment projects with real-world impact.
Get hands-on experience with AI infrastructure, cloud, and edge computing.
Competitive salary and growth opportunities in AI & ML domain.
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How to Apply?
Send your resume to [Your Email] with the subject: "AI Deployment Specialist – Application"
Apply before [Last Date]
Join our team and shape the future of AI deployment
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