This is a fully remote position, open to applicants in United States.

📋 Description

• Design and implement comprehensive machine learning solutions on AWS, covering everything from data preparation and model development to deployment and monitoring.

• Collaborate with clients to grasp their business challenges and convert them into viable AI/ML solutions.

• Construct, test, deploy, and sustain ML models utilizing AWS ML services and frameworks.

• Create production-quality Python code, data pipelines, and ML applications.

• Partner with data and engineering teams to prepare, process, analyze, and operationalize ML data and models.

• Execute model monitoring, retraining, and enhancement of performance as necessary.

• Produce technical documentation, reference architectures, and reusable solutions.

• Clearly convey technical solutions to both technical and business stakeholders.

⛳️ Requirements

• Practical experience in building and deploying Machine Learning / AI solutions on AWS.

• Proficient in Python programming.

• Familiarity with the complete ML lifecycle, including data preparation, model development, validation, deployment, and monitoring.

• Experience with AWS SageMaker or similar AWS ML services.

• Strong grasp of ML/AI concepts and frameworks.

• Background in a customer-facing consulting or technology environment.

• Excellent communication, problem-solving, and collaboration abilities.

• Must possess authorization to work in the U.S. without current or future sponsorship.

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

• Preferred technical skills include: AWS SageMaker, S3, Lambda, Glue, EMR, IAM, VPC, Step Functions; TensorFlow, PyTorch, Keras, Spark/PySpark; Hadoop, ETL/data pipelines, Jupyter; Deep Learning, Transformers, RNNs, Reinforcement Learning; Python; R is an additional asset.