Senior Machine Learning Architect (Remote)
About The Position
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 leverage your extensive experience in cloud environments, specifically AWS, to help our customers develop scalable AI/ML solutions. You will work within a collaborative team, bridging the gap between complex technical processes and business objectives. Your expertise will guide projects from conception to deployment, ensuring alignment with strategic goals. The impact of your work will resonate across entire organizations, driving innovation through effective machine learning applications.
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.
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.
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.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Ph.D. or professional degree
Number of Employees
11-50 employees
