AWS Machine Learning Consultant

Job not on LinkedIn

🔥 0 minutes ago

🇺🇸 United States – Remote

💵 $120k - $160k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Machine Learning Engineer

👻 Ghost score 1%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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High Bridge Consulting LLC

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2008

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

High Bridge Consulting LLC is a bottom-up, people-first consulting and staffing firm that helps enterprises with digital transformation and technology-focused talent solutions. The company emphasizes integrity, quality, and collaboration, positioning itself as a knowledge management partner that supports clients, associates, vendors and partners across areas such as AI/ML, IoT, blockchain and other digital initiatives. High Bridge provides consulting services and places skilled associates to enable clients' success while fostering a creative, supportive environment for its consultants.

📋 Description

• 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 technical and business stakeholders

🎯 Requirements

• 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 • Advanced degree (MS/PhD preferred) in Computer Science, Machine Learning, Data Science, Statistics, Electrical Engineering, or a related field • Preferred technical skills: 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 a plus