Join the core AI team to build and improve transformer-based NLP models and datasets for real-time AI security risk detection. Responsibilities include dataset curation, synthetic data generation, model training and fine-tuning, NER and classifier development, evaluation pipeline design, and optimizing inference for production. Requires 4+ years experience, strong Python skills, and hands-on experience with transformers, PyTorch/TensorFlow, and Hugging Face.

Truelogic seeks a Senior Data Scientist to join a client's core AI team to curate datasets, train and fine-tune transformer-based NLP models, develop NER and classifiers, and design evaluation pipelines for AI security (sensitive-data exposure, unsafe content, adversarial prompts). The role requires 4+ years' experience, strong Python and ML framework skills, and works remotely (position listed in Santo Domingo).

Hands-on Senior Data Scientist role on a core AI team building and fine-tuning transformer-based models and NER/classifiers for real-time risk detection in AI interactions. Responsibilities include dataset curation and augmentation, model training and evaluation, inference optimization, and moving models to production. Requires 4+ years of experience, strong Python skills, and experience with PyTorch/TensorFlow, Hugging Face, and NLP techniques.

Seeking a Senior Data Scientist to join an AI team building NLP/LLM-based risk-detection models for AI security (sensitive-data exposure, unsafe content, adversarial prompts). Responsibilities include dataset curation and augmentation, training and fine-tuning transformer models, developing NER and classifiers, designing evaluation pipelines and benchmarks, optimizing inference for production, and collaborating to productionize models. Requires 4+ years experience, strong NLP and transformer knowledge, Python, and experience with frameworks such as PyTorch or TensorFlow and libraries like Hugging Face and scikit-learn.

Seeking a Senior Data Scientist to join an AI security team working on NLP and transformer-based models. Responsibilities include dataset curation and augmentation (including synthetic data), training and fine-tuning LLMs, developing NER and classification models, designing evaluation pipelines and benchmarks, optimizing inference for production, and collaborating to move models into reliable production. Requires 4+ years' experience and hands-on skills with Python, PyTorch/TensorFlow, Hugging Face, and Pandas. Role is 100% remote and targeted to Latin America.

Ongoing contract (10–20 hrs/week) to evaluate interactions with coding agents (e.g., OpenAI Codex, Claude Code, Cursor). Senior/Staff/Principal-level engineers with strong TypeScript/JavaScript or Python experience will judge correctness, reasoning, explanations, and overall engineering taste, and provide written feedback and short recorded walkthroughs. Rate $100–$200/hour.

Join Kraken's Agent Systems team to design, prototype, and productionize AI-powered agent systems and inference pipelines that automate internal workflows. Role emphasizes backend engineering (APIs, distributed systems, data modeling, reliability), experience with AI/ML or LLMs in production, rapid prototyping with a path to production, and cross-functional collaboration to deploy observable, safe, and controllable agent-driven capabilities. Requires 5+ years building and shipping production software.

Capital One seeks a Senior Staff AI Engineer on the Intelligent Foundations and Experiences team to design, build, and operate foundation-model training and LLM inference systems, agentic/multi-agent workflows, similarity search/VectorDBs, model evaluation, governance and observability. Role requires deep experience with Python/Go/Scala/CUDA/Java/C++, cloud platforms (AWS/GCP/Azure), PyTorch, Hugging Face, and production AI performance and safety practices. Minimum experience: 8+ years (per qualifications). Salary ranges published (example: Remote $286,200–$326,700; up to $392,000 for some locations).

Hire a principal-level ML engineer to build and operate ML systems and infrastructure, implement and benchmark research papers and model architectures, shape long-term search and discovery strategy (including LLMs), and present technical results and business impact. Requires 8+ years of ML engineering experience across MLOps and research, hands-on infrastructure experience (e.g., Redis), and experience with search/personalization/recommendation systems.

The Home Depot is hiring an Associate Data Scientist to support data science projects by designing algorithms and models, conducting analyses, and communicating results. The role involves working with large datasets, predictive and prescriptive modeling, and may include specializations such as optimization, computer vision, recommendation, search, or NLP. Minimum experience is 0 years; preferred qualifications include a master's in a quantitative field and ~3+ years in analytics.

Quora is hiring a new-graduate Software Engineer for its Machine Learning Platform team to build and maintain core infrastructure for ML model serving and ranking at scale. Responsibilities include distributed systems development, GPU model serving optimization (latency/throughput/cost), PyTorch-first standardization, improving ML developer velocity, and modernizing the feature store. Stack includes Python, Go, C++, PyTorch, Kubernetes/EKS, NVIDIA Triton, Ray, and AWS. Role is remote from the United States or Canada and requires availability during Quora coordination hours (Mon–Fri 9am–3pm PT) and a 2025 or 2026 CS/engineering degree (B.S./M.S./Ph.D.).

Capital One is hiring a Sr. Staff AI Engineer (remote-eligible) to lead design and delivery of foundation model training and inference, agents and multi-agent workflows, similarity search/VectorDBs, guardrails, observability, and AI governance. Role requires extensive experience (8–10+ years) in AI/ML engineering, model optimization, cloud deployment (e.g., AWS/GCP/Azure), and technical leadership.

Hands-on Staff role owning architecture and delivery for Agentic Ads: translate customer needs into roadmap and systems, build LLM/agentic workflows and third-party integrations, establish measurement and financial controls, ensure reliability (idempotency, durable state, observability), run evaluations and experiments, and mentor/lead across product, design, AI, data, security, and partnerships.

Join Veeva's EU Analytics practice in Barcelona as a Data Scientist to design, prototype, and scale advanced analytics and ML models for Life Sciences customers. Responsibilities include processing and harmonizing healthcare data, integrating with Veeva Data Cloud and customer CRM, building predictive models and engagement engines, and documenting methodologies. Requires 2+ years in data science/ML roles, strong Python and SQL skills. Total compensation listed: 48,000–75,000 EUR.

Remote (US) staff Machine Learning Engineer role within Reddit's Ads Ranking org. Responsibilities include designing and training deep learning models (DNNs, transformers), developing features and embeddings, working with infra and data teams on deployment and feature serving, mentoring other engineers, and shaping long-term modeling strategy. Requires 7+ years industry experience and strong experience with TensorFlow or PyTorch, recommendation/ads ranking domains, large-scale datasets, and production ML.

Senior AI Engineer based in Peru (remote). Requires 5+ years experience in software/data/ML engineering to design and deliver production AI solutions (LLMs, generative AI, RAG, AI agents) using frameworks such as LangChain, LangGraph, LlamaIndex or Semantic Kernel, and platforms like Snowflake/Databricks/Redshift/Synapse. Responsibilities include architecture, deployment, monitoring, observability, troubleshooting, and AI evaluation/feedback strategies.

Hire for a Senior AI Agent Engineer to design, prototype, and productionize AI agents using Azure AI Foundry, Copilot Studio, Python, and related orchestration frameworks. Responsibilities include prompt and tool definition, RAG and citation implementation, guardrails, monitoring/observability, evaluation pipelines, integration with enterprise APIs, and continuous improvement. Bachelor's degree in CS or related field and software development experience required.

Responsible for developing AI/LLM components and production services, building and maintaining Python-based APIs and pipelines, working with data/SQL for transformations and quality, implementing RAG pipelines and prompt workflows, troubleshooting data/model/production issues, and collaborating with Product and Platform teams. Requires 2–4 years in Software/Data/ML/AI roles and experience with Git, CI/CD, monitoring, model evaluation, and LLM-specific issues (hallucinations, grounding, prompt brittleness).

Join Veeva Business Consulting as a Data Scientist focused on designing, prototyping, and scaling advanced analytics and ML solutions for Life Sciences customers across European markets. Responsibilities include processing and integrating healthcare data with Veeva Data Cloud, building predictive models and HCP engagement engines, collaborating with cross-functional teams, and maintaining model documentation and validation. Requires 2+ years' experience in data science/advanced analytics, strong Python and SQL skills, and familiarity with ML/AI and data engineering concepts.

Own design, training, deployment and operation of recommendation and ranking models (embeddings, collaborative filtering, ANN search) and related Python services. Build and run batch pipelines, low-latency model serving (sub-200ms), Kubernetes/Docker deployments, and A/B tests. Requires 5+ years building ML systems with production model-serving experience and familiarity with vector DBs (Qdrant), ANN libraries (HNSWlib/FAISS/Annoy/ScaNN), SQL, streaming systems and LLM work.