Job Description
Remote- AI Engineer- Offshore should be able to work in USA EST Time zone
Core Responsibilities (AI/ML, Python, AWS, Gen AI)
Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
Build and maintain cloud‑native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, Dynamo DB, RDS/Aurora, Sage Maker, and Bedrock.
Develop high‑performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real‑time analytics.
Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered automation (chatbots, summarization, semantic search, anomaly detection).
Implement CI/CD pipelines (Git Hub/Git Lab/Code Pipeline) and infrastructure‑as‑code (Terraform/Cloud Formation) for reliable, automated deployments.
Build robust MLOps workflows, including model versioning, containerized training/inference, ...
Core Responsibilities (AI/ML, Python, AWS, Gen AI)
Design and implement end-to-end AI/ML and Generative AI solutions using Python, including model training, evaluation, optimization, and deployment.
Build and maintain cloud‑native applications on AWS using services such as Lambda, ECS/Fargate, S3, API Gateway, Dynamo DB, RDS/Aurora, Sage Maker, and Bedrock.
Develop high‑performance Python microservices (Fast API/Flask) enabling scalable data pipelines, model inference, and real‑time analytics.
Architect and operationalize RAG pipelines, embeddings, vector databases, and LLM‑powered automation (chatbots, summarization, semantic search, anomaly detection).
Implement CI/CD pipelines (Git Hub/Git Lab/Code Pipeline) and infrastructure‑as‑code (Terraform/Cloud Formation) for reliable, automated deployments.
Build robust MLOps workflows, including model versioning, containerized training/inference, ...
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