Senior AI Engineer

Sr AI Engineer / Data Scientist / MLOps Consultant

We are seeking an experienced and highly technical Data Scientist to join our customer-facing consulting team. This remote role requires a blend of advanced Machine Learning (ML) expertise, deep knowledge of MLOps principles, and a proven track record in client-facing implementation. The successful candidate will be instrumental in designing, deploying, and maintaining production-grade ML solutions, including advanced Generative AI and Natural Language Processing (NLP) models, for our diverse client base.Key Responsibilities

● Serve as a primary technical consultant, leading and executing end-to-end ML project implementations directly with clients, translating complex business problems into robust technical solutions.

● Exhibit excellent communication, presentation, and stakeholder management skills to clearly articulate technical findings, proposals, and project status to both technical and non-technical audiences.

● Design, build, and maintain production-grade ML pipelines, focusing on continuous integration, continuous delivery (CI/CD), and advanced MLOps practices to ensure reliability and scalability of models.

● Implement and optimize cutting-edge Generative AI and NLP applications, demonstrating hands-on experience with technologies like Retrieval Augmented Generation (RAG) and Large Language Models (LLMs) in a production setting.

● Manage underlying solution infrastructure, demonstrating proficiency in technologies such as Docker, pipeline orchestrators, and database systems.

● Leverage expertise in distributed computing frameworks, specifically in scalable machine learning and high-performance data processing (e.g., using technologies like Apache Spark).

● Contribute to the strategic growth of the ML Practice Team, including participation in technical assignments and knowledge transfer activities.

● Ensure all client engagements and training activities are properly documented and reported via designated partner platforms.

Required Qualifications

● 4+ years of hands-on professional experience developing, deploying, and managing Machine Learning models, with a mandatory requirement for productionizing and maintaining models in a live environment.

● 3+ years of experience in a customer-facing consulting or solutions architect role, focused on technical implementation and delivery.

● Excellent verbal and written communication skills for effective client and internal team interaction.

● Expertise in MLOps lifecycle management, including model versioning, testing, monitoring, and automated deployment best practices.

● Demonstrable experience with infrastructure management, encompassing containerization (Docker) and data pipeline orchestration.

● Deep understanding of programming for data-intensive and scalable ML applications.

● Proven experience