Machine Learning Architect - AWS

Job Description: • We are expanding our team of motivated technologists with a proven track record of delivering results in technology consulting. • We are specifically looking for a Machine Learning Architect with experience in cloud (AWSpreferred) who is passionate about helping customers build AI/ML solutions at scale. • This role includes responsibilities both as a Professional Services Machine Learning Architect and as a hands-on Machine Learning engineer on customer engagements. • The qualified Machine Learning Architect will have demonstrated the ability to think strategically about businesses, create technical definitions around customer objectives in complex situations, develop solution strategies, motivate & mobilize resources, and deliver results. • The ability to connect technology with measurable business value is a critical component to be successful in this role. • We seek team members who are self-motivated, driven, collaborative, passionate about machine learning, and want to have a direct positive impact on our customer's business. • Strong communication skills and emotional intelligence are also needed to help develop a team that works with you. • Work Location: Remote Requirements: • Masters with 10+ years of experience or 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). • Experience building ML models and strong knowledge of ML techniques is required. • Experience with hugging face, TensorFlow/pytorch, transformer architectures, prompt engineering, agentic systems, LLMs. • Strong coding experience in Python and architectural patterns like microservices. • Solid understanding of agile methodologies and experience in planning machine learning projects from inception to production deployment. • Strong problem-solving skills and the ability to lead a team on “what’s next” when encountering a technical issue in a machine learning project. • Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences. Benefits: Apply tot his job