... comprehensive Zero Trust frameworks to secure distributed enterprise environments against sophisticated threat vectors.- Integrate Artificial Intelligence and Machine Learning models into security operations to automate threat hunting, anomaly detection, and incident response.- Lead the design of identity-centric security ...
... conduct short, structured interviews with shortlisted technical professionals across areas such as GPU kernel development, security and vulnerability research, machine learning compilers, and accelerator technologies . You’ll assess candidates against a defined rubric, evaluate their technical depth and communication skills, ...
... Multimodal Transformers , such as CLIP, BLIP-2, LLaVA, Flamingo , or equivalent architectures. - Proven experience with Active Learning, Pseudo-Labeling, Self-Training, Weak Supervision, and automated annotation . - Advanced Python + PyTorch skills; JAX is a plus. - Experience with scalable training frameworks such as PyTorch ...
... onboarding flows are parseable and completable by AI agents acting on behalf of prospective merchants, including structured form data, clear step sequencing, and machine-readable eligibility criteria. - Define and maintain agentic interface standards , including machine-readable sitemaps, API-accessible content layers, agent-friendly ...
... robustness, and scalability. Perform end-to-end data science workflows: data collection, cleaning, feature engineering, model training, validation, and monitoring. Experience building and optimizing NLP systems using modern approaches (e.g., Technology- Data Science- Machine Learning, Technology- Machine learning- data science
... conduct short, structured interviews with shortlisted technical professionals across areas such as GPU kernel development, security and vulnerability research, machine learning compilers, and accelerator technologies . You’ll assess candidates against a defined rubric, evaluate their technical depth and communication skills, ...
... relevant field, or; ● Master's or PhD in Computer Science, Data Science, Mathematics, or a related field. Experience: - 3–6 years of hands-on experience in machine learning or data science roles. - Proven expertise in machine learning, deep learning, NLP, and recommendation systems. - Hands-on experience deploying ML models ...
... Engineering, focusing on Agentic AI, RPA, Full Stack, and GenAI-based https://jobeax.com/link/XnflZD2dGSZYgXFG Responsibilities :- Build, deploy, and manage machine learning models in production environments.- Develop and maintain scalable ML pipelines for training, validation, deployment, and monitoring.- Containerize ...
... Location: Hybrid Compensation: $200,000–$350,000/year Openings: 1 About the Opportunity We are seeking an AI/ML Engineer to build and deploy secure, scalable machine learning systems while contributing to advanced AI infrastructure and mission-critical initiatives. The role combines hands-on engineering across LLMs, RAG, ...
... Location: Hybrid Compensation: $200,000–$350,000/year Openings: 1 About the Opportunity We are seeking an AI/ML Engineer to build and deploy secure, scalable machine learning systems while contributing to advanced AI infrastructure and mission-critical initiatives. The role combines hands-on engineering across LLMs, RAG, ...
After Sales Service Engineer The role is focused on handling installation, commissioning, and servicing of secondary packaging machines such as conveyors, shrink bundling machines, case erectors, case packers, and sealers. The job requires practical, hands-on work at customer sites and ensuring that machines run smoothly ...
... customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement. - Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 6 + years of ...
... customer-facing teams to translate ambiguous business challenges into concrete AI solutions from concept through deployment and continuous improvement. - Apply machine learning, deep learning, and statistical modeling to develop and evaluate AI solutions using real-world enterprise datasets. What you'll bring - 8 + years of ...
Roles & Responsibilities : - Lead AI Product Pods across Credit Risk, Fraud, and Collections functions.- Build and deploy production-scale Machine Learning systems for lending lifecycle decisioning.- Own complete ML lifecycle including feature engineering, model training, evaluation, deployment, monitoring, and continuous ...
... work at the intersection of cutting-edge research and production-grade engineering—turning ideas into scalable, impactful AI systems. We're looking for a AI / Machine Learning Engineer to join our core team of young hustlers. In this role, you'll design, build, and productionize GenAI systems—from model training and fine-tuning ...