Lead Machine Learning Architect (Remote)

Lead Machine Learning Architect (Remote) at Jobgether

Florida, United States — Full Time

Start Date: Immediate

Expiry Date: 02 May, 26

Posted On: 01 Feb, 26

Experience Required: 10+ years

Remote: Yes

Telecommute: Yes

Sponsor Visa: No

Skills

Machine Learning, Cloud Technologies, AWS, Azure, GCP, ML Models, Python, Microservices, Agile Methodologies, Problem-solving, Leadership, Communication, Presentation Skills, Hugging Face, TensorFlow, PyTorch

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Machine Learning Architect — REMOTE. In this role, you will significantly impact by creating innovative AI/ML solutions tailored to meet our customers' needs. You will be leveraging your extensive experience in cloud technologies, specifically AWS, to design and implement robust machine learning projects that drive measurable business value. This position requires strong interpersonal skills, as you will collaborate directly with clients, ensuring that your technical solutions align closely with their strategic goals. You'll be responsible for the end-to-end execution of ML projects, from initial concept to final deployment, fostering innovation and efficiency.

Accountabilities

• Design machine learning solutions and execute projects from proof of concept to production.
• Collaborate with business representatives to gather and understand requirements.
• Oversee all project phases including problem definition, data annotation, and training documentation.
• Architect ML solutions on cloud platforms such as AWS, Azure, and GCP.
• Stay updated on the latest machine learning research and adapt models to client needs.
• Build credibility through technical excellence and strong customer relationships.

Requirements

• Master's degree with 10+ years of experience or PhD with 6+ years in machine learning.
• 5+ years of experience in architecting machine learning solutions.
• Experience with cloud platforms: AWS, GCP, Azure.
• Proficient in building ML models and familiar with ML techniques.
• Experience with tools such as Hugging Face, TensorFlow/PyTorch, and transformer architectures.
• Strong coding skills in Python and knowledge of architectural patterns like microservices.
• Solid understanding of agile methodologies and experience in ML project planning.
• Exceptional problem-solving skills and leadership ability in tackling technical challenges.
• Excellent communication and presentation skills for diverse audiences.

Benefits

• Flexible remote working arrangements.
• Collaborative team environment focused on innovation.
• Opportunities for professional development and continuous learning.
• Exposure to cutting-edge technologies and methodologies.
• Competitive compensation and performance-based incentives.
• Access to a wide network of knowledgeable professionals.

Responsibilities

• Design and implement machine learning solutions from proof-of-concept to production while collaborating with clients to ensure alignment with their strategic goals.
• Oversee all project phases, including problem definition, data annotation, and training documentation.