Senior AI/ML Engineer (AWS)

Company DescriptionCloudPlexo is an advanced AWS partner that helps businesses unlock the power of the cloud through innovative public cloud solutions for our global customers. CloudPlexo is an Advanced AWS Consulting Partner that focuses on helping businesses globally leverage technology efficiently on the cloud. From Cloud Storage and Backup/Recovery to AI development and cloud migration, CloudPlexo ensures that businesses achieve their IT and business objectives through digital transformation.We are seeking a talented Senior AI/ML Engineer to design, develop, and deploy machine learning models and AI solutions. You will work closely with cloud engineers, solutions architects, and business stakeholders to build scalable, production-ready AI systems that drive real-world impact.Key Responsibilities:Design, develop, and deploy machine learning models using AWS AI/ML services (SageMaker, Bedrock, Lex, Rekognition, etc.).Optimize and fine-tune ML models for performance, scalability, and cost-efficiency.Implement MLOps pipelines for automated training, deployment, and monitoring.Collaborate with data engineers to build robust data pipelines (Glue, Athena, Redshift, etc.).Work with AWS services like Lambda, Step Functions, ECS, and S3 to integrate AI/ML into cloud-native applications.Stay updated with the latest advancements in generative AI, LLMs, and deep learning.Provide technical guidance to clients and internal teams on AI/ML best practices.Required Skills and Experience:5+ years of hands-on experience in AI/ML model development and deployment.Strong proficiency in Python, TensorFlow, PyTorch, or scikit-learn.Experience with AWS AI/ML stack (SageMaker, Bedrock, Claude, Titan, etc.).Knowledge of MLOps tools (SageMaker Pipelines, MLflow, Kubeflow).Familiarity with big data technologies (Spark, Hadoop, Databricks) is a plus.AWS certifications (AWS Certified ML – Specialty) are highly desirable.Strong problem-solving skills and ability to work in fast-paced environments.