
AI Engineer
1 week ago
- Design, train, and deploy AI/ML models, including offline deployment for enterprise use cases.
- Integrate AI models into enterprise applications using cloud-native architectures.
- Implement data pipelines, feature engineering, and model evaluation frameworks
- Optimize models for performance, scalability, and cost-efficiency.
- Ensure security, compliance, and governance in AI solutions
- Train and mentor team members on AI/ML concepts, tools, and best practices.
- Collaborate with product and engineering teams to deliver AI-driven features
- 5+ years in enterprise software development with strong coding skills (e.g., Python, .NET, or Java).
- 2+ years in ML/AI: model training, evaluation, and deployment.
- Hands-on experience with enterprise cloud platforms (Azure, AWS, or GCP) and relevant AI services.
- Proven experience in at least one end-to-end AI project involving offline model deployment.
- Strong understanding of data preprocessing, feature engineering, and model optimization.
- Familiarity with MLOps practices: CI/CD for ML, model versioning, monitoring.
- Experience with Azure AI Services, Azure ML, or equivalent cloud AI platforms
- Knowledge of vector databases, RAG architectures, and LLM integration
- Familiarity with containerization (Docker, Kubernetes) and IaC (Terraform/Bicep)
- Exposure to Responsible AI principles and compliance frameworks.
- ML/AI: TensorFlow, PyTorch, Scikit-learn, ONNX.
- Cloud: Azure ML, AWS SageMaker, GCP Vertex AI.
- DevOps/MLOps: GitHub Actions, Azure DevOps, MLflow, Kubeflow.
- Data: SQL/NoSQL databases, Data Lakes, Feature Stores.
- BE/BTech/MCA or equivalent in Computer Science or related field
- Full-time position based in Raipur & Pune.
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AI Engineer
1 week ago
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Generative AI Engineer
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Forward Deployed AI Engineer
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Team Lead – AI/ML
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AI Voice Agent Engineer
2 weeks ago
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Forward Deployed Engineer
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AI Engineer
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AI Engineer
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AI Engineer
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AI Engineer
1 week ago
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