Predictive Modeling Engineer

Job Description: As a candidate ready to join immediately, you can share your details via email for quick processing. Act fast for immediate attention. Role Overview: You will be responsible for utilizing your expertise in Python (Advanced) and FASTAPI to work on Generative AI & Agentic AI (LLMs, AI Agents, orchestration frameworks). Your role will involve working with AWS services such as ECS/EKS, Lambda, S3, DynamoDB, SageMaker, as well as dealing with distributed systems, microservices, and API architecture. Additionally, you will be expected to have knowledge in DevOps/MLOps fundamentals including CI/CD and monitoring, while also contributing to system design, scalability, security, and cloud architecture. Key Responsibilities: - Utilize Python (Advanced) and FASTAPI to develop AI solutions - Work on Generative AI & Agentic AI technologies such as LLMs, AI Agents, and orchestration frameworks - Implement and manage AWS services like ECS/EKS, Lambda, S3, DynamoDB, SageMaker - Design and develop distributed systems, microservices, and API architecture - Implement DevOps/MLOps best practices including CI/CD and monitoring - Contribute to system design, scalability, security, and cloud architecture Qualifications Required: - Proficiency in Python (Advanced) and FASTAPI - Experience with AWS services like ECS/EKS, Lambda, S3, DynamoDB, SageMaker - Strong understanding of distributed systems, microservices, and API architecture - Knowledge of DevOps/MLOps fundamentals including CI/CD and monitoring - Familiarity with system design, scalability, security, and cloud architecture In addition to the above skills, valuable-to-have skills include familiarity with Docker, Kubernetes, event-driven architecture, MLflow, Kubeflow, Vertex AI, and expertise in data governance, privacy, and compliance in AI systems. Experience with LangChain, LlamaIndex, or other AI frameworks would be beneficial. Feel free to share your details via email if you meet the above criteria. Job Description: As a candidate ready to join immediately, you can share your details via email for quick processing. Act fast for immediate attention. Role Overview: You will be responsible for utilizing your expertise in Python (Advanced) and FASTAPI to work on Generative AI & Agentic AI (LLMs, AI Agents, orchestration frameworks). Your role will involve working with AWS services such as ECS/EKS, Lambda, S3, DynamoDB, SageMaker, as well as dealing with distributed systems, microservices, and API architecture. Additionally, you will be expected to have knowledge in DevOps/MLOps fundamentals including CI/CD and monitoring, while also contributing to system design, scalability, security, and cloud architecture. Key Responsibilities: - Utilize Python (Advanced) and FASTAPI to develop AI solutions - Work on Generative AI & Agentic AI technologies such as LLMs, AI Agents, and orchestration frameworks - Implement and manage AWS services like ECS/EKS, Lambda, S3, DynamoDB, SageMaker - Design and develop distributed systems, microservices, and API architecture - Implement DevOps/MLOps best practices including CI/CD and monitoring - Contribute to system design, scalability, security, and cloud architecture Qualifications Required: - Proficiency in Python (Advanced) and FASTAPI - Experience with AWS services like ECS/EKS, Lambda, S3, DynamoDB, SageMaker - Strong understanding of distributed systems, microservices, and API architecture - Knowledge of DevOps/MLOps fundamentals including CI/CD and monitoring - Familiarity with system design, scalability, security, and cloud architecture In addition to the above skills, valuable-to-have skills include familiarity with Docker, Kubernetes, event-driven architecture, MLflow, Kubeflow, Vertex AI, and expertise in data governance, privacy, and compliance in AI systems. Experience with LangChain, LlamaIndex, or other AI frameworks would be beneficial. Feel free to share your details via email if you meet the above criteria.