Senior Machine Learning Architect (

About Jobgether

Jobgether is a platform that connects job seekers with opportunities in a variety of fields.

Job Summary

We are currently looking for a Machine Learning Architect – REMOTE. In this role, you will leverage your extensive experience in cloud environments, specifically AWS, to help our customers develop scalable AI/ML solutions.

Key Responsibilities

• Design machine learning solutions and execute projects end-to-end from proof-of-concept to production using cloud-native technologies.
• Collaborate with business stakeholders to gather and understand requirements for machine learning solutions.
• Manage all project phases: problem definition, data annotation, model development, deployment, and training documentation.
• Architect ML solutions on cloud platforms (AWS, Azure, GCP) with a strong focus on MLOps.
• Stay updated on the latest machine learning research and integrate new findings into existing models.
• Build credibility through technical excellence and establish strong relationships with customers.

Requirements

• Masters with 10+ years or PhD with 6+ years in Machine Learning, NLP, and Deep Learning.
• Minimum 5+ years of experience designing and implementing Machine Learning solutions.
• 5+ years of experience with cloud platforms (AWS, GCP, Azure).
• Proficient in building ML models and knowledgeable in ML techniques.
• Experience with frameworks like Hugging Face, TensorFlow/PyTorch, and architectures like transformers.
• Strong coding skills in Python and familiarity with microservices architectural patterns.
• Good understanding of agile methodologies and project planning for machine learning.
• Excellent problem-solving skills and ability to lead teams through technical challenges.
• Exceptional communication skills to convey complex technical concepts to varied audiences.

Benefits

• Opportunity to work remotely and maintain a flexible schedule.
• Access to cutting-edge technology and tools.
• Professional growth and development opportunities.
• Collaborative work environment within a motivated team.
• Engagement with a diverse range of challenging projects.
• Competitive compensation and benefits package.