Our client is looking for an AWS Machine Learning Consultant to design, build, and deploy AI/ML solutions for customers. This is a hands-on, customer-facing role requiring strong Python, machine learning, AWS, and software engineering experience.

Key Responsibilities

• Design and implement end-to-end machine learning solutions on AWS, from data preparation and model development through deployment and monitoring.

Work directly with customers to understand business problems and translate them into practical AI/ML solutions. Build, test, deploy, and maintain ML models using AWS ML services and frameworks. Develop production-quality Python code, data pipelines, and ML applications. Work with data and engineering teams to prepare, process, analyze, and operationalize ML data and models. Implement model monitoring, retraining, and performance improvements where required. Develop technical documentation, reference architectures, and reusable solutions. Communicate technical solutions clearly to both technical and business stakeholders.

Required Qualifications

• Hands-on experience building and deploying Machine Learning / AI solutions on AWS.

Strong Python programming skills. Experience with the end-to-end ML lifecycle: data preparation, model development, validation, deployment, and monitoring. Experience with AWS SageMaker or comparable AWS ML services. Strong understanding of ML/AI concepts and frameworks. Experience working in a customer-facing consulting or technology environment. Strong communication, problem-solving, and collaboration skills. Must be authorized to work in the U.S. without current or future sponsorship. Preferred Technical Skills

• AWS: SageMaker, S3, Lambda, Glue, EMR, IAM, VPC, Step Functions
• ML/AI: TensorFlow, PyTorch, Keras, Spark/PySpark
• Data: Hadoop, ETL/data pipelines, Jupyter
• AI/ML Techniques: Deep Learning, Transformers, RNNs, Reinforcement Learning
• Languages: Python; R is a plus

Education Advanced degree (MS/PhD preferred) in Computer Science, Machine Learning, Data Science, Statistics, Electrical Engineering, or a related field