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Design, develop, and deploy scalable AI/ML solutions using Python, deep learning, Generative AI, NLP, and cloud platforms.
Designs, trains, and deploys ML models with MLOps, builds evaluation pipelines, and integrates generative AI for explainability in a product-focused team.
Build and calibrate judge pipelines, RAG systems, and hallucination detectors for LLM-powered products; fine-tune and distill judge models; orchestrate multi-agent workflows with guardrails.
Own and ship end-to-end computer-vision models that turn aerial imagery, LiDAR and 3D geodata into building intelligence for property verification, using Azure ML, Python and geospatial tooling.
Build and maintain the AI/ML platform that deploys and monitors production models and LLMs, implementing MLOps pipelines and CI/CD for scalable, reproducible ML systems.
Senior ML Engineer builds and scales search, recommendation, and LLM systems using semantic embeddings, ranking algorithms, and NLP techniques to improve product intelligence.
Senior ML Engineer builds and deploys ranking, semantic-search, and recommender systems using LLMs and vector databases to deliver personalized financial insights for global professionals.
Build ultra-realistic autonomous-vehicle simulations using large foundation models to train and evaluate the Waymo Driver in London and Oxford.
Build and deploy ML-based optimization engines to control EV charging/discharging, minimizing household energy costs while integrating with energy and vehicle systems.
NorthMark Compute and Cloud LLC is seeking a Senior Kubernetes Engineer for their Dallas office. The role involves designing and implementing GPU-accelerated container platforms and optimising Kubernetes clusters for…
Build and deploy enterprise-scale AI/ML models to power predictive analytics and automation for a global BPO and CX provider, using Python and cloud platforms.
Develops AI-driven geospatial models to analyze satellite imagery for vegetation risk assessment in energy grids, improving wildfire prevention and outage reduction using Python, PyTorch, and geospatial libraries like GDAL and GeoPandas.
Build and deploy ML models to detect fraud and improve customer experience in digital gifting and payments using frameworks like PyTorch and cloud platforms like AWS.
Design and deploy ML models for predictive analytics, feature engineering, and backtesting to production in a data-driven product company.
Build and deploy ML models to detect and classify drone threats using RF datasets, DSP, and deep learning; automate data pipelines and improve detection capabilities.
Design and build end-to-end AI/ML solutions to turn large-scale data into actionable insights across marketing, supply chain, and finance using Python, R, SQL, and Azure ML.
Build and deploy ML models in Azure, containerize them with Docker, and automate pipelines using GitHub Actions to scale analytics across Coca-Cola’s global operations.
Build and maintain scalable data pipelines and AI/ML platforms for a global biopharma company, integrating models into production and ensuring data reliability and governance.
Build and deploy AI agents and RAG pipelines to automate IT tasks and improve system resilience using LLMs and agent frameworks.
Design and implement generative AI and machine learning solutions for AWS customers, focusing on Amazon Bedrock, SageMaker, and agentic AI workflows.
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