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MANTECH seeks a motivated, career and customer-oriented Senior AI ML Engineer . This is currently a hybrid position with two to three days onsite in Ashburn, VA . In this role, you will collaborate within a…
Builds and maintains developer-facing tools (APIs, SDKs, dashboards) on top of AI inference/training infrastructure like SGLang and Miles, collaborating with product and research teams to create intuitive interfaces.
Designs and deploys GPU-powered AI and HPC infrastructure on Civo’s cloud platform, optimizing Kubernetes and bare-metal performance for AI workloads.
Lead AI engineering for financial clients, building and deploying GenAI and multi-agent systems while mentoring teams and ensuring compliance with enterprise standards.
Develop physics-driven deep learning models in PyTorch for transient electromagnetic data to improve subsurface imaging, combining electromagnetic physics with supervised and self-supervised learning.
Lead high-impact ML projects and set technical standards for a neobank’s Data Science & AI teams, designing credit, fraud, and personalization models at scale.
Senior technical advisor designing and validating MinIO’s AIStor object-storage architectures for AI, analytics, and large-scale data workloads, guiding customers from discovery to production.
Design and deploy deep-learning perception models for ADAS in commercial EVs, optimizing neural networks for embedded automotive hardware.
Build and deploy ML models for cybersecurity use cases like threat detection and risk scoring using Python, PyTorch, and cloud-native pipelines.
About the Role Gratia Health is looking for a self-motivated mid-level Product Analytics Engineer to own our data landscape. As the sole data practitioner, you will embed directly within our product and engineering…
Build and own end-to-end AI systems at LinkedIn scale, from model training to GPU fleet management, driving measurable member and business impact through production recommender and classification systems.
Build and ship production-grade AI systems—LLMs, agents, retrieval, and evals—from prototype to scalable deployment for high-stakes decision-making.
Build and own end-to-end AI systems at LinkedIn scale, from model training to production GPU fleets, driving measurable impact on member and business outcomes.
Build and optimize AI agents for adtech using LLMs, RAG, and vector databases to enhance contextual ad generation and retrieval.
Build and improve ML models for ad-campaign optimization, ranking, bidding, and forecasting to maximize performance metrics like CTR, ROAS, and CPA at scale.
Build and optimize AI agents for advertising using LLMs, RAG, and vector databases to enhance generative AI capabilities in a hybrid work environment.
Build and own Hive’s cloud-native data and ML platforms handling billions of event-attendee interactions yearly, using Python, ClickHouse, Airflow, and LLM-powered pipelines to power real-time marketing automation for 1,500+ events.
Build scalable backend infrastructure for AI-driven applications, integrating model inference, workflow orchestration, and distributed services to power real-world intelligent systems.
Research scientist building and fine-tuning vision and language models, improving robustness, efficiency, and training pipelines using PyTorch/JAX.
Build and evaluate MLOps pipelines for cutting-edge GenAI models using JAX, PyTorch, and GPU kernels (Pallas/Triton) to improve training data quality.
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