AI Engineer

As an AI/ML Engineer, you will have the responsibility to design, train, and deploy AI/ML models, including offline deployment for enterprise use cases. You will work on integrating AI models into enterprise applications using cloud-native architectures. Additionally, you will implement data pipelines, feature engineering, and model evaluation frameworks. Your role will also involve optimizing models for performance, scalability, and cost-efficiency while ensuring security, compliance, and governance in AI solutions. Furthermore, you will be required to train and mentor team members on AI/ML concepts, tools, and best practices, and collaborate with product and engineering teams to deliver AI-driven features. Key Responsibilities: - Design, train, and deploy AI/ML models 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 Qualifications Required: - 5+ years of experience in enterprise software development with strong coding skills in Python, .NET, or Java - 2+ years of experience in ML/AI, including model training, evaluation, and deployment - Hands-on experience with enterprise cloud platforms such as 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 such as CI/CD for ML, model versioning, and monitoring The company is looking for candidates who also have the following skills: - Experience with Azure AI Services, Azure ML, or equivalent cloud AI platforms - Knowledge of vector databases, RAG architectures, and LLM integration - Familiarity with containerization tools like Docker, Kubernetes, and IaC tools like Terraform/Bicep - Exposure to Responsible AI principles and compliance frameworks In terms of tools & technologies, you will be working with: - 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 Please note that this is a full-time position based in Raipur & Pune, and the educational requirement is BE/BTech/MCA or equivalent in Computer Science or a related field.,