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[Job-30912] AI-First Senior Software Engineer, Brazil
Build scalable cloud-native microservices in Java/Python on Azure, using AI tools like TensorFlow and PyTorch to automate engineering workflows and boost productivity.
Yetakchi mutaxassis (Data Engineer)
Builds AI/ML solutions in Python, focusing on LLM, RAG, and AI agents, integrating them with backend systems and vector databases.
Senior Engineering Manager - Machine Learning
Leads a team of ML engineers and data scientists to design, deploy, and maintain machine learning systems for sports betting and gaming platforms using Python, TensorFlow/PyTorch, and AWS.
Praktikum im Bereich Data Science in der Fertigung (w/m/div.)
Praktikant:in entwickelt KI-Algorithmen für Qualitätskontrolle in der Serienproduktion, nutzt Python, TensorFlow/PyTorch und arbeitet mit Produktionsteams zusammen.
Internship Data Science in Manufacturing
Internship advancing machine-learning algorithms for quality assessment in series production using Python, PyTorch, and TensorFlow. You will build prototypes and support digitalization teams in manufacturing.
Senior ML Engineer [CICADA8]
Senior ML Engineer builds and fine-tunes LLM-based agents and RAG pipelines for cybersecurity vulnerability detection, deploying on-prem models and optimizing MLOps/LLMOps workflows.
Head of AI/ML (Director/VP) - VC Backed Startups
Lead AI/ML strategy and teams at early-stage startups, defining product roadmaps and deploying generative AI systems using Python, PyTorch, and cloud MLOps stacks.
Data Scientist (Senior/Staff) - VC Backed Startups
SignalFire connects Senior/Staff Data Scientists with VC-backed startups in AI, cybersecurity, healthtech, fintech, and devtools, focusing on experimentation, modeling, and data-driven product decisions.
Applied AI Scientist/Researcher (Senior/Staff) - VC Backed Startups
Build and adapt AI models for early-stage startups, turning research into production systems and improving model performance, reasoning, and efficiency.
Principal AI/ML Engineer - VC Backed Startups
Principal AI/ML Engineer to architect and deploy cutting-edge models (LLMs, transformers) and lead AI strategy at high-growth startups in SignalFire’s portfolio.
Founding AI Engineer (Senior/Staff) - VC Backed Startups
Build and deploy AI models from scratch for early-stage startups, leading RAG pipelines, agent architectures, and LLM-powered systems in Python with PyTorch/TensorFlow.
AI/ML Engineer
Build and deploy AI/ML models (predictive, recommendation, deep learning) using Python, PySpark, and MLflow; optimize pipelines and collaborate with data engineers to drive business KPIs.
Python AI Engineer, LLMs, Generative AI
Lead the design, development, and deployment of Python-based AI solutions, focusing on LLMs and Generative AI, while mentoring teams and driving strategic adoption of AI technologies.
AI/DL 솔루션 아키텍트 (AI/DL Solution Architect)
Designs end-to-end AI/deep-learning architectures for geospatial platforms, customizing models like LLM/RAG and deploying on GPU/cloud infrastructure for defense, government, and commercial clients.
AI Engineer
Design and deploy AI solutions like RAG systems and assistants, integrating them into enterprise workflows and owning projects end-to-end.
Security Engineer, AI
Secure AI systems by assessing LLM and generative AI security risks, implementing controls for training/inference pipelines, and hardening ML infrastructure against prompt injection, model poisoning, and data exfiltration.
Data Scientist
Design and evaluate AI/ML models for VA healthcare, ensuring compliance with federal standards and translating technical findings for stakeholders.
Lead Applied AI Engineer II
Lead a team to design, build, and deploy AI-powered applications using LLMs, RAG, and vector databases, while mentoring engineers and enforcing engineering standards.
Software Development Engineer III, AI Data Engineering
Develops AI/ML pipelines and generative AI solutions to accelerate drug discovery, patient care, and business insights using Python, PyTorch/TensorFlow, cloud platforms (AWS/GCP), and MLOps principles.