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Senior Machine Learning Engineer (Agent Systems)
Senior ML engineer builds and owns production-grade agent systems for AI-driven business decision tools, focusing on planning, tool use, evaluation, and post-training improvements.
Software Engineer - Frontend
Review and improve AI-generated frontend code, write clean UI solutions, and explain technical decisions; core tech is JavaScript, HTML, CSS, and modern frameworks like React or Vue.
Senior Backend Engineer
Build and maintain scalable backend services for a business identity platform, integrating APIs, AI/ML models, and compliance systems to automate KYB and risk monitoring.
Data Scientist
Build and maintain production-grade data pipelines, retrieval infrastructure, and ML/LLMOps foundations for AI initiatives like conversational assistants and RAG applications using Snowflake, PySpark, Kafka, and vector stores.
Assistant Vice President - Applied AI Engineer
Design and build enterprise-grade AI/ML systems, including agentic workflows, LLM applications, and MLOps tooling, using Python/Go/Java and cloud-native stacks in a financial-services environment.
Vice President – AI Engineer
Lead the design, development, and scaling of enterprise-grade AI systems including agentic AI, LLMs, and MLOps pipelines for a global bank, using Python/Go/Java and cloud-native tools.
GenAI Tuning Analyst
Tune and refine generative AI models for a contact-center platform, grading outputs for accuracy, empathy, and compliance while collaborating with legal and ops teams.
Applied AI/ML Engineer
Build and own AI systems for a dating service, including LLM prompting, evaluation, and production inference, using Python and related tools.
AI Product Manager
Lead the development and monetization of an AI-powered product suite for MSPs, focusing on LLMs, agentic workflows, and usage-based pricing while driving revenue and market strategy.
Principal Solutions Architect (Req#1341)
Designs and deploys end-to-end AI infrastructure for enterprises, integrating NVIDIA GPU clusters, high-performance networking, parallel storage, and AI software stacks to support large-scale model training and inference.
Senior Machine Learning Engineer, Model Training and Reinforcement Learning
Senior ML Systems Engineer builds and maintains distributed AI training infrastructure for large-scale model training and reinforcement learning experiments using PyTorch, Megatron-LM, and DeepSpeed in Palo Alto.
Senior AI Engineer, AI Lab
Build and fine-tune LLM-powered systems for The Economist’s AI Lab, focusing on editorial tone, retrieval workflows, and multimodal generation (text, audio) to shape future journalism products.
Senior AI/ML engineer
Senior AI/ML engineer builds and ships LLM-powered health features like recommendations and conversational insights using Python, Databricks, AWS, and Terraform in a hybrid London office.
Специалист по машинному обучению / ML-инженер (ML/LLM, AI-агенты для medtech)
ML/LLM engineer building AI agents and large language models for medtech products, automating medical workflows and assisting doctors and patients.
Technical Solutions Architect, Evals & Fine-Tuning (Remote)
Technical Solutions Architect, Evals & Fine-Tuning Location: Remote - Canada Department: INN - (Engineering) and Solutioning - 384 Innodata (Nasdaq: INOD) is a global data engineering company. We believe that data…
AI/ML Research Engineer, LLM Post-Training & Evaluation (Remote)
AI/ML Research Engineer, LLM Post-Training & Evaluation Location: Remote - Canada Department: INN - (Engineering) and Solutioning - 384 Innodata (Nasdaq: INOD) is a global data engineering company. We believe that…
Senior Manager-AI Algorithm
SUMMARY OF THE ROLE As an AI Algorithm Scientist within the Enterprise Architecture team of Commercial IT , you will play a key role in advancing AstraZeneca’s Enterprise AI Platform and accelerating AI adoption across…
AI Rater Guidelines Writer (Linguist / Instructional Designer)
Create clear rating guidelines and evaluation rubrics for human reviewers to improve AI training data, converting complex domain requirements into structured instructions for generative AI models.
Principal Product Manager
Principal Product Manager at Microsoft to refine AI models (RLHF, fine-tuning) for Copilot, balancing user needs, safety, and enterprise requirements through hands-on post-training work.