Senior AI/ML Engineer - Technical Representative for US Remote Projects

US / Canada / LATAM Strongly PREFERRED We are a fast growing remote software team delivering projects for US based clients. We are looking for a Senior AI/ML Engineer to join us as a technical representative on client facing video calls and technical discussions. This is a flexible part time collaboration that works completely alongside your current role or projects. No full time commitment required. Responsibilities: Participate in live remote technical sessions representing our engineering team Engage confidently in discussions around machine learning architecture, model design and AI system implementation Present and explain AI/ML concepts clearly and professionally on video calls Collaborate closely with our internal Technical Lead before and after each session Maintain a professional and credible presence during client facing interactions Support technical reviews, model walkthroughs and solution discussions What You Will Gain: Competitive hourly pay in USD - $20 to $40 per hour per session Exposure to high level US AI and machine learning projects Flexible part time schedule - all sessions planned 24 to 48 hours in advance Ongoing recurring collaboration as long as projects continue Experience working alongside senior US based engineering leadership Requirements: Senior level AI/ML engineering experience - 5 or more years Hands on experience with machine learning frameworks such as TensorFlow, PyTorch or similar Native or near native English fluency - strong verbal communication is essential Confident and professional on camera during live video calls Strong understanding of ML pipelines, model training, deployment and evaluation Reliable internet connection, webcam and microphone Available for scheduled video sessions during US business hours Open to flexible part time work alongside existing commitments Preferred: Experience with LLMs, generative AI or AI product development Background in MLOps, model deployment or production AI systems Familiarity with cloud AI services such as AWS SageMaker, Google Vertex AI or Azure ML Previous experience in client facing technical presentations or stakeholder discussions Experience with RAG systems, fine tuning or AI agents To Apply: Introduce yourself naturally in English and walk us through your AI/ML background and experience. No script needed - just speak naturally and confidently as you would in a professional setting. We move fast. Strong candidates will be contacted within 24 hours.