Senior Engineer - AI/ML
Job Summary
Job Description
As a Senior Engineer in AI/ML, you will design cloud-native AI architectures for personalized recommendations and real-time analytics. You will leverage generative AI technologies to build advanced solutions. You will train, fine-tune, and deploy ML models using various platforms. You will implement CI/CD pipelines, build and optimize ETL workflows, and integrate data pipelines with AI/ML models. You will also deploy MLOps practices, enhance AI model security, collaborate with stakeholders, and document AI workflows. This role requires expertise in designing and implementing AI solutions.
Must have:
- 5+ years of experience in code development with Java, Python, Vscode
- Proficiency in PyTorch, TensorFlow, and deep learning frameworks
- Experience with Azure Cognitive Services, AWS AI/ML tools
- Strong understanding of containerization, orchestration, and serverless computing
- Hands-on experience with cloud automation tools like Terraform and Kubernetes
15 skills required
Job Details
Key Responsibilities:
• Design cloud-native AI architectures for personalized recommendations, conversational systems, and real-time analytics.
• Leverage generative AI technologies like LangChain and RAG to build advanced AI solutions.
• Train, fine-tune, and deploy ML models using Microsoft Copilot Studio, Power platform, Azure ML, AWS SageMaker, AWS bedrock
• Implement CI/CD pipelines for seamless model updates and scaling.
• Build and optimize ETL workflows for large-scale data processing using Azure Data Factory and AWS Glue.
• Integrate data pipelines with AI/ML models to enable real-time decision-making.
• Deploy robust MLOps practices, including automated monitoring and model retraining.
• Enhance AI model security through advanced techniques like LLM Guard and PromptInject.
• Collaborate with stakeholders to define AI use cases and ensure alignment with business objectives.
• Document AI workflows, data pipelines, and deployment processes for reproducibility.
Requirements:
• 5+ Years of experience in code development wih Java, Python, Vscode
• Proficiency in PyTorch, TensorFlow, and deep learning frameworks.
• Experience with Azure Cognitive Services, AWS AI/ML tools, and cloud-native architectures.
• Strong understanding of containerization, orchestration, and serverless computing.
• Hands-on experience with cloud automation tools like Terraform and Kubernetes.
• Proven ability to troubleshoot complex AI/ML workflows and deliver scalable solutions.
• Strong leadership and project management skills to handle multi-disciplinary projects.
• Solid understanding of NLP, computer vision, reinforcement learning, and time series forecasting.
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