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Ready to drive the future? As part of the global Bertrandt Group, our team of innovators tackles cutting-edge projects across ADAS, Autonomous Driving, Electric Mobility, and Manufacturing Support, transforming complex…
Build and scale production-ready ML infrastructure for ASR and LLM systems, collaborating with research and MLOps teams to deploy robust AI workflows.
Build and scale enterprise-grade ML and GenAI platforms, hardening research code into production services, and enabling hundreds of practitioners to deploy and monitor models securely and cost-effectively.
Lead a team building scalable data pipelines and AI-driven analytics using Python, Spark, and PyTorch to process large-scale datasets for enterprise clients.
Build and maintain ETL pipelines and production ML systems on Azure, deploying models with Databricks and PySpark while ensuring data quality and model performance.
Build and optimize data pipelines to process large financial datasets, then engineer ML features and models that power AI-driven banking solutions using Python, Spark, and NoSQL databases.
Design and build generative AI systems using LLMs, agentic architectures, and RAG pipelines, optimizing models and managing unstructured data for scalable production deployments.
Builds full-stack web apps with Python backend and React frontend, integrates ML models using PyTorch, and deploys scalable cloud-native services on Kubernetes.
Develop predictive AI and data-intelligence models using Python, ML, and deep learning to analyze large datasets for Spindox’s projects.
Senior ML Engineer builds and fine-tunes AI models for financial services, from data prep to serving, using Python/R and PyTorch/TensorFlow.
Sell AI-powered computer vision solutions to enterprises, translating technical capabilities into business value and driving pilots from proof-of-concept to production deployment.
Build and deploy generative AI models for healthcare, focusing on LLM fine-tuning, agent frameworks, and scalable AI systems to improve patient outcomes.
Build and deploy real-time Vision AI and edge-inference systems using PyTorch/TensorFlow, ONNX/TensorRT, and NVIDIA stacks for object detection, video analytics, and multimodal models.
Build and deploy AI models (GenAI, NLP, deep learning) to solve business problems in insurance using Python, SQL, and Databricks.
Build and productionize generative AI models and LLM-driven applications using PyTorch, RAG pipelines, and vector databases, while engineering robust MLOps and data pipelines in Python.
Lead a team of AI/ML scientists and engineers to build agentic workflows and reasoning engines for Pipedrive’s AI-native CRM, shipping production-grade models that drive customer value from structured and unstructured data.
Senior Data Scientist at CrowdStrike to lead AI-driven risk scoring and prioritization for cybersecurity exposure management, building and deploying ML models at scale.
Design and deploy AI/ML solutions for enterprise clients, including custom models, GenAI/LLMs, and scalable MLOps pipelines in cloud environments.
Build and deploy AI-first contract intelligence features using LLMs, RAG, and agentic workflows to automate document review and accelerate deal-making for enterprise customers.
Designs and builds scalable AI/ML systems for enterprise clients, including data pipelines and deep learning models deployed across cloud, edge, and HPC environments.
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