Remote Senior Ai Engineer / Data Scientist

Senior AI Engineer / Data Scientist (Consulting)\/div>\ /div>Location: United States (Remote)\/div>EmploymentType: Full -Time / Contract\/div>ExperienceLevel: Senior\/div>\ /div>About the Role:\/div>We are seeking an experienced, highly technical Senior AI Engineer / Data Scientist to join our customer -facing consulting team. This remote role requires a unique blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client -facing implementation.\/div>\ /div>You will design,deploy, and maintain production -grade ML solutions, including advanced Generative AI and NLP models, for our diverse client base.\/div>\ /div>Key Responsibilities:\/div>\ /div>* Technical Consulting: Lead end -to -end ML implementations directly with clients, translating business problems into robust technical solutions.\/div>* MLOps and Pipelines: Design, build, and maintain production -grade ML pipelines with a strong focus on CI/CD, automation, and scalability.\/div>* GenAI and NLP Deployment: Implement and optimize cutting -edge Generative AI applications (such as LLMs and RAG) in live production settings.\/div>* Infrastructure and Data Scale: Manage underlying infrastructure using Docker, pipeline orchestrators, and distributed computing frameworks like Apache Spark.\/div>* Stakeholder Management: Clearly communicate technical findings, proposals, and project status to both technical and non -technical audiences.\/div>\ /div>Required Qualifications:\/div>\ /div>* 4+ years of professional experience developing, deploying, and maintaining ML models in a live production environment (Mandatory).\/div>* 3+ yearsof experience in a customer -facing consulting or Solutions Architect role.\/div>* Strong expertise in the MLOps lifecycle (model versioning, testing, monitoring, and automated deployment).\/div>* Solid hands -on experience with containerization (Docker) and data pipeline orchestration.\/div>* Proven track record of deploying Generative AI and NLP solutions for client applications.\/div>* Excellent verbal and written communication skills.\/div>\ /div>Preferred Qualifications:\/div>\ /div>* Hands -on experience with modern ML platform stacks, specifically Databricks MLOps Stacks.\/div>* Deep knowledge of large -scale data processing and distributed machine learning techniques.\/div>* A strongcommitment to continuous learning in emerging ML fields and GenAI application architectures.\/div>\/span>