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As an Engineering Manager, AI & ML (Data Collection), you will play a critical role in building and scaling the company’s Unified AI/ML Data Collection Platform , enabling standardized, reliable, and scalable…
Build and deploy ML models (XGBoost, NLP, deep learning) in AWS to solve client problems, using PySpark, SQL, and MLOps pipelines.
Lead AI/ML and cloud transformation for global healthcare clients, defining enterprise architectures and guiding executives on responsible AI adoption and AWS best practices.
Designs and delivers scalable cloud, data, and AI solutions for life insurance, leveraging Azure AI, Databricks, and modern architectures while ensuring compliance and business alignment.
Lead architect guiding healthcare software teams to modernize legacy systems with cloud and AI, designing scalable AWS-based solutions for post-acute care workflows.
Lead AI/ML projects for enterprise clients, designing and deploying custom deep learning and generative AI models with MLOps/LLMOps pipelines in cloud environments.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital commerce setting using Python, SQL, and MLOps.
Position Overview The AI Technical Architect is responsible for designing, developing, and implementing advanced artificial intelligence solutions that address critical business challenges. The role demands a deep…
Lead the development of AI-powered search models (LLMs, RAG, vector search) for Caterpillar’s eCommerce parts platform, optimizing relevance and personalization to improve customer experience.
Build and deploy AI/ML models for enterprise search, including ranking, semantic search, and generative AI features, to improve product discovery and user experience.
Design cloud architectures for top AWS customers, focusing on AI/ML frameworks and MLOps to solve business challenges and accelerate digital transformation.
Build and deploy ML models for demand forecasting, customer experience, and operations optimization in a B2B and digital-commerce setting using Python, SQL, and MLOps pipelines.
Lead the design and delivery of scalable AI and data platforms, from petabyte-scale lakehouses to production GenAI solutions, using Python, Spark, Databricks, and cloud services.
Build and secure AI/ML systems for national defense, including LLM apps, predictive models, and adversarial defenses, using Python, TensorFlow/PyTorch, and edge deployment tooling.
Lead a team applying AI/ML to marketing, audience modeling, and healthcare analytics at GoodRx, building models that drive prescription savings and business decisions using Python, Spark, and cloud platforms.
Build and deploy ML models to personalize Autodesk’s B2C eCommerce experience, from segmentation and recommendations to A/B testing and churn prediction.
Build predictive models and data pipelines to extract insights from large banking datasets, using Python, SQL, and ML techniques to drive decisions in risk, customer, and commercial domains.
Design and deploy enterprise-grade AI systems—including LLMs, vision models, and robotics—from research to production, ensuring scalability, security, and alignment with business goals.
Design and deploy enterprise-grade AI systems—from LLMs and multimodal models to robotics and edge AI—guiding the full lifecycle from research to production while aligning with business goals and governance.
Build and deploy enterprise-scale generative AI and LLM-powered systems for Morgan Stanley’s investment banking tech stack, focusing on RAG, agents, and MLOps in a regulated financial environment.
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