Advanced AI Systems Developer

15 hours ago

rajkot, India beBeeMachine Full time

Enterprise AI ArchitecturesWe seek a seasoned professional with expertise in designing and deploying large-scale artificial intelligence systems on the AWS platform. Your primary focus will be to develop scalable, production-grade solutions using modern tooling and collaborate closely with cross-functional teams.Key Responsibilities:Develop end-to-end machine learning pipelines (training, evaluation, deployment, monitoring) utilizing SageMaker, Lambda, EC2, ECR, and Step Functions.Implement vector search, embeddings pipelines, and LLM-based applications using Amazon Bedrock or open-source models.Build RAG (Retrieval-Augmented Generation) workflows using AWS services such as OpenSearch / Aurora / DynamoDB.Data Engineering & MLOps:Design and build scalable data pipelines using Glue, EMR, Kinesis, or Lambda.Implement MLOps workflows using SageMaker Pipelines, Model Registry, MLflow, and CI/CD.Monitor and optimize model performance, drift detection, retraining triggers.Backend & Integration:Integrate models with applications via REST APIs / async APIs.Work with microservices using Python (FastAPI), Node.js, or similar.Develop inference endpoints optimized for low latency and cost efficiency.Cloud Architecture & Optimization:Architect and deploy AI workloads following AWS Well-Architected best practices.Optimize compute, storage, and networking for high performance and cost efficiency.Implement security, IAM policies, data encryption, and compliance practices.Required Skills & Qualifications:Core AI/ML Skills: 5+ years of ML/AI engineering experience, preferably in production environments.Strong expertise with: AWS SageMaker (training, inference, Pipelines, Model Monitor, Debugger).Amazon Bedrock (LLMs, embeddings, fine-tuning or instruction tuning).Feature Store, SageMaker JumpStart, Batch Transform.Solid experience with deep learning frameworks: PyTorch, TensorFlow, Hugging Face, LangChain (optional but preferred).Experience building LLM agents, automation workflows, or RAG-based systems.Programming: Strong in Python (mandatory).Experience with FastAPI, microservices, containerized ML workloads.Experience with Git, Docker, CI/CD pipelines.Data Engineering: Good understanding of data modeling, ETL/ELT concepts.Experience with Glue, Athena, Kinesis, Redshift, or equivalent.Cloud & DevOps: Strong hands-on with: Lambda.ECS/EKS (nice to have).API Gateway.CloudWatch.IAM.AWS OpenSearch.Experience integrating third-party telephony systems with Amazon Connect.As a leader in enterprise AI, we deliver impactful solutions that drive business growth and innovation. We're seeking talented professionals to join our team and contribute to shaping the future of AI.

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