Machine Learning Architect (AWS)

Position Overview

We are expanding our team of motivated technologists with a proven track record in technology consulting. As a Machine Learning Architect with cloud expertise (AWS preferred), you will work directly with customers to build AI/ML solutions at scale – acting both as a Professional Services Machine Learning Architect and a hands-on engineer. You will leverage your technical depth, strategic vision, and strong interpersonal skills to align innovative machine learning solutions with our customers’ business goals. Work Location: Remote. Compensation: This role offers a salary range of $153,000 - $244,700 a year, with specific starting pay ranges for Colorado ($153,000 - $204,000), Hawaii and New York (non-NYC; $167,400 - $223,200), and California, New York City, and Washington ($183,500 - $244,700). Compensation may include additional variable components based on individual and company performance.

Key Responsibilities

• Design machine learning solutions and execute projects from proof-of-concept to production deployment using cloud native technologies and state-of-the-art ML models.
• Collaborate directly with business representatives and customers to understand and translate requirements into technical solutions.
• Manage all phases of projects including problem definition, data annotation, model development, model deployment, and end user documentation/training.
• Architect ML solutions on cloud platforms (AWS, Azure, GCP) with an emphasis on MLOps.
• Stay abreast of the latest research and developments in machine learning and adapt innovative models to address customer challenges.
• Establish credibility by demonstrating technical excellence and delivering measurable value through your solutions.

Required Qualifications

• Master’s degree with 10+ years of experience or a PhD with 6+ years of experience in Machine Learning, Natural Language Processing (NLP), and Deep Learning.
• Minimum 5+ years of experience architecting and building Machine Learning solutions.
• Minimum 5+ years of experience with cloud platforms (AWS, GCP, Azure).
• Proven experience in building ML models with a strong knowledge of ML techniques.
• Experience with Hugging Face, TensorFlow/PyTorch, transformer architectures, prompt engineering, agentic systems, and LLMs.
• Strong coding skills in Python, with experience in architectural patterns such as microservices.
• Solid understanding of agile methodologies and a track record of planning and deploying machine learning projects.
• Excellent problem-solving abilities and strong leadership skills in technical environments.
• Exceptional communication and presentation skills with the ability to explain complex technical concepts to diverse audiences.

Benefits & Perks

• Remote Work: Enjoy the benefits of working from anywhere.
• Compensation: Competitive salary with a range of $153,000 - $244,700 per year and additional variable compensation based on performance.
• Travel: Occasional travel as required by business needs.
• Additional benefits information is available upon request.