Machine Learning Engineer
Design, develop, and deploy Machine Learning models and ML pipelines for a healthcare client. Focus on optimizing models for document classification, segmentation, and data extraction in production environments.
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Design, develop, and deploy Machine Learning models and ML pipelines for a healthcare client. Focus on optimizing models for document classification, segmentation, and data extraction in production environments.
The engineer will collaborate with the Head of AI and product teams to develop and deploy AI-driven security features, focusing on designing, training, and integrating machine learning models for detecting malicious traffic and bots.
The role involves developing and maintaining the ML training platform and the bidding infrastructure used to evaluate ML models in production. Responsibilities also include identifying performance bottlenecks, optimizing critical system parts, ensuring scalability, and creating performance tests for new components.
You will develop and refine industry-leading NLP models and conversational AI agents like Lyro using advanced RAG techniques. The role involves building agent orchestration systems and optimizing data access for LLMs to improve customer service automation.
Research and validate machine learning approaches for vessel detection using Distributed Acoustic Sensing (DAS) and AIS data. Develop scalable AI pipelines and proof-of-concept systems on Google Cloud to monitor subsea infrastructure.
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Lead the design and deployment of end-to-end AI lifecycles and scalable computer vision pipelines for healthcare clients using the Databricks Lakehouse. Act as a strategic advisor on clinical validation, regulatory compliance, and MLOps architecture.
Design and ship reliable, scalable ML subsystems for a proactive AI assistant focusing on long-horizon workflows. Own the end-to-end lifecycle from data preparation and training to production inference and iteration.
Develop document-processing pipelines and autonomous AI agents using LLMs and agentic workflows. Build and optimize Python microservices for document ingestion, classification, and extraction while ensuring system reliability and cost-efficiency.
Participate in research projects, interviews, and surveys to provide expert insights on workflow management tools. Share professional expertise to help researchers and organizations improve AI models and development processes.
The role involves adhering to software development best practices and collaborating with senior machine learning teams. You will support project leaders in machine learning initiatives and engage in analytical processes related to AI solutions.
Design and implement retrieval and ranking architectures for personalized music recommendations. Build end-to-end ML systems encompassing data processing, training, deployment, and performance monitoring.
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