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Develops sovereign AI models from scratch for national cyber-defense, focusing on computer vision, NLP, RL, graph learning, and neurosymbolic AI to secure critical government data and infrastructure. Daily tasks include training models, benchmarking, dataset curation, and cross-disciplinary collaboration with engineers.
Build production-grade AI systems using LLMs, RAG, and vector databases to deliver financial insights for credit & lending use cases.
Designs, builds, and deploys AI/ML models for operational intelligence (Smart NOC AI), from data exploration to production, collaborating with data engineering, architecture, MLOps, and ops teams to enable predictive decision-making, automation, and anomaly detection using IBM Watsonx tools.
Leads applied ML and NLP efforts to optimize Target’s search and browse systems, deploying LLMs and ranking models to enhance ecommerce relevance at scale.
DevOps Engineer maintains and enhances geospatial defense systems, focusing on AWS cloud infrastructure, CI/CD pipelines, Linux administration, and security compliance for federal clients.
Leads AI/ML development for Target’s Advanced AI team, designing scalable, production-grade systems (LLMs, classical ML, deep learning) to automate workflows and drive business insights. Bridges technical and business needs while mentoring teams and ensuring responsible AI practices.
Osprey Systems is seeking a Perception/ML Engineer to build and optimize multi-sensor fusion engines and classification models for counter-drone technology. The role focuses on edge deployment and real-time inference in challenging, resource-constrained environments.
I - Who We Are? NewMind AI is an innovative and pioneering company specializing in leveraging big data through a comprehensive and holistic approach. From data digitization and classification to deriving meaningful…
Machine Learning Engineer (hybrid, Warsaw) building production-grade Python ML applications, MLOps pipelines on GCP/Azure, model-serving systems, and GenAI/LLM deployments for Harvey Nash Technology's clients.
ML Engineer builds and fine-tunes robot policies using VLA models, offline/online RL, and corrective learning to improve success rate and robustness of humanoid robots.
Redefine the future of customer experiences. One conversation at a time. At Nextiva, we’re reimagining how businesses connect, bringing together customer experience and team collaboration on a single, conversation…
Develops AI-driven web analysis tools to enhance security features (e.g., autofill, phishing detection) using large datasets and ML models in a zero-knowledge architecture.
The AI Engineer will design, develop, and deploy production-ready AI and machine learning solutions, focusing on LLMs, generative AI, and autonomous agent systems for healthcare clients. The role involves building scalable architectures and integrating AI models with existing APIs and data sources.
The Staff Data Scientist will build and refine credit underwriting models for NIRA's consumer credit platform in India. This role involves using Python, SQL, and machine learning to predict loss performance and leverage alternative data to expand financial access.
The Senior Gen AI Engineer will develop innovative prototypes and agentic workflows using Generative AI and LLMs to solve complex problems in the public administration sector. This role involves working within a research-focused institute to manage the full MLOps lifecycle for advanced AI models.
The Gen AI Engineer will work at a research institute to develop innovative Generative AI prototypes and agentic workflows, focusing on applications for the public administration sector. The role involves applying LLM orchestration and serving technologies to solve complex, real-world problems.
The AI Engineer will optimize and deploy machine learning models, including LLMs and vision models, across heterogeneous hardware platforms like CPUs, GPUs, and NPUs. The role focuses on improving inference performance through techniques such as quantization, model compression, and hardware-specific acceleration.
Junior Data Scientist builds and improves machine learning pipelines for recommendation systems using Python, PySpark, and PyTorch to personalize user experiences across banking, e-commerce, and other sectors.
Build and optimize large-scale deep learning models and data pipelines, focusing on sequence and time-series architectures, using Python, PyTorch/TensorFlow, and MLOps practices.
Develops and deploys AI/ML models (classification, NLP, CV, time-series) for business use, using Python, TensorFlow/PyTorch, and cloud platforms like AWS SageMaker. Focuses on MLOps (Docker, MLflow, Kubernetes) and cross-team collaboration to solve real-world problems with automation and predictive analytics.
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