AWS Machine Learning Consultant

• 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.

• 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.

• 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

Who We Are

• • We connect thoughtfully curated talent with reputable employers in our field.
• • We partner with like-minded companies to bolster mutual success and understanding.
• • We deliver results through strategic planning and meticulous project management.

Careers