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Applied AI Associate (Public Health), Health Analytics and AI Unit - Digital Health
Build and deploy AI pipelines for India’s national health-insurance programme, including anonymisation, synthetic-data generation, and natural-language querying of aggregated public-health data.
Senior Data Scientist
Lead enterprise-scale AI/ML initiatives, building and deploying Python-based models (LLMs, NLP, predictive systems) with MLOps and responsible-AI practices for federal programs like housing analytics and fraud detection.
AI HPC Infrastructure Engineer
Maintains and optimizes a hybrid HPC/AI Linux cluster with GPUs, scheduling tools (SLURM/Kubernetes), and MLOps pipelines to support large-scale model training and inference for researchers.
Senior Software Developer
Lead a team building AI-driven .NET and Python applications on Azure, integrating CRM and supply-chain systems with Azure AI services and MLOps tooling.
Senior Databricks Data Engineer
Builds scalable Lakehouse solutions on Databricks using Delta Lake, Unity Catalog, and cloud-native services, writing Python/SQL pipelines and automating deployments with DABs and CI/CD.
Machine Learning Engineer (Remote)
Build and deploy production-grade ML systems for an AI data startup, designing LLMs, embeddings, and reinforcement learning environments from scratch.
ML Engineer
Build and improve ML systems that extract and match data from financial documents (invoices, bills, POs) to automate approval workflows, focusing on accuracy and zero-touch processing.
Senior Software Developer, ML Ops
Build and maintain the ML platform that trains, deploys, and monitors AI/ML models across Wealthsimple’s products using Kubernetes, Ray, FastAPI, and MLflow.
Senior Principal Software Engineer, Machine Learning
Lead the architecture and delivery of Toast’s ML Platform, building feature stores, model serving, and training pipelines that power AI-driven features like personalization and fraud detection for restaurants.
AI Engineering Manager
AI Engineering Manager Location: Buenos Aires, Buenos Aires, ar, Remote Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data…
AI Engineering Manager (Remote)
AI Engineering Manager Location: Santiago, Santiago Metropolitan Region, cl, Remote Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the…
Senior Data Scientist, AI Engineering
Senior Data Scientist - AI Engineering Location: Hyderabad, TS, in Company Description Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data…
AI Engineer Manager
Lead a team to design, build, and deploy production-grade AI systems including RAG pipelines, agentic frameworks, and LLM-powered solutions while mentoring engineers and guiding client decisions.
AI Engineer Manager (Remote)
Lead AI teams to design, build, and deploy production-grade RAG, agentic, and LLM-powered systems, while mentoring engineers and guiding clients on pragmatic AI solutions.
Data Science Manager
Lead a team of data scientists and engineers to build and deploy ML models for route optimization in a logistics platform, driving daily impact for thousands of drivers.
Data and MLOps Engineer
Build and maintain production-grade data pipelines and MLOps workflows, deploying scalable ML services on Azure/AWS using Docker, Kubernetes, and CI/CD.
Senior / Staff AI Research Engineer, Data Infrastructure
Builds and maintains the data pipelines and infrastructure that power RoboForce's AI robotics models, handling everything from raw teleoperation data to post-training reinforcement learning loops.
AI/ML Engineer
Build and deploy AI/ML models using Python, TensorFlow, and cloud platforms like Azure/AWS for Version 1.
Machine Learning Engineer, Supply Chain
Build and deploy ML models to forecast demand and optimize product assortment in Decathlon’s supply chain using Python, TensorFlow/PyTorch, and MLOps tooling.
AI/ML Platform Engineer
Build and scale production AI/ML services on Kubernetes, focusing on MLOps, model serving, and observability to ensure reliable, high-performance, and cost-efficient deployments.