AI Specialist

5 days ago

guntur, India beBeeAI Full time

Artificial Intelligence Developer PositionWe are looking for a skilled Artificial Intelligence developer to join our team. The ideal candidate will have hands-on experience with machine learning and AI technologies, specifically with Amazon Web Services (AWS).Key Responsibilities:Design, build, and deploy AI systems using AWS services such as SageMaker, Bedrock, Lambda, EC2, ECR, and Step Functions.Develop end-to-end ML pipelines, including training, evaluation, deployment, and monitoring.Implement vector search, embeddings pipelines, and Large Language Model (LLM) based applications using Amazon Bedrock or open-source models.Build Retrieval-Augmented Generation (RAG) workflows using AWS services such as OpenSearch, Aurora, and DynamoDB.Data Engineering & MLOps:Build scalable data pipelines using AWS Glue, Athena, Kinesis, Redshift, or equivalent services.Implement Model Operations (MLOps) workflows using SageMaker Pipelines, Model Registry, and CI/CD tools.Monitor and optimize model performance, detect drift, and trigger retraining.Backend & Integration:Integrate AI models with applications via REST APIs and async APIs.Work with microservices using Python, Node.js, or similar programming languages.Build 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 resources for high performance and cost efficiency.Implement security measures, IAM policies, data encryption, and compliance practices.Required Skills & Experience:Core AI/ML skills with 5+ years of experience in production environments.Strong expertise with AWS SageMaker, Amazon Bedrock, Feature Store, SageMaker JumpStart, and Batch Transform.Solid experience with deep learning frameworks such as PyTorch, TensorFlow, Hugging Face, and LangChain.Experience building LLM agents, automation workflows, or RAG-based systems.Programming:Proficient in Python programming language.Experience with FastAPI, microservices, containerized ML workloads, Git, Docker, and CI/CD pipelines.Data Engineering:Good understanding of data modeling, ETL/ELT concepts.Experience with AWS Glue, Athena, Kinesis, Redshift, or equivalent services.Cloud & DevOps:Hands-on experience with AWS Lambda, ECS/EKS, API Gateway, CloudWatch, IAM, and AWS OpenSearch.Ability to integrate third-party telephony systems with Amazon Connect.Benefits:Opportunity to work on cutting-edge AI projects.Collaborative and dynamic work environment.Professional growth and development opportunities.We operate a dual model — a product business developing AI-native systems and a high-impact consulting practice delivering AI solutions for leading enterprises across APAC. Our teams work hands-on with AWS, Databricks, Confluent, MinIO, and modern cloud ecosystems to ship real-world AI at scale.Join Us:At [Company Name], we believe that AI has the potential to transform industries and improve lives. We're looking for talented individuals who share our passion for AI and want to make a meaningful impact.

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