Senior AI Engineer + Networking

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.

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.

You will design, train and ship recommendation and ranking models (embeddings, collaborative filtering, ANN search), build Python services served at low latency (re-ranking under a 200 ms budget), run daily batch pipelines for many merchants, extend LLM shopping assistant work, and own deployments and observability (containers, Kubernetes, autoscaling, dashboards, alerts). The role expects 5+ years building ML systems with production model-serving experience and strong experience in Python, vector DBs, ANN libraries, SQL, Docker/Kubernetes, and A/B testing.

Lead design and implementation of high-scale identity threat detection systems that analyze billions of authentication events daily. Responsibilities include building real-time Kafka pipelines and a pluggable detection engine, integrating ML and LLM-based reasoning, translating security research into production detections, and owning production observability, SLOs and incident response. Tech stack includes Python, Go, Java, Kafka, PostgreSQL, MongoDB, Redis, Protobuf/gRPC, GraphQL and AWS.

Be the first Senior ML Engineer at Primer working with a Staff Engineer to establish ML foundations. Responsibilities include full ML lifecycle ownership (research, training, deployment, monitoring), building ML infrastructure (versioning, CI/CD, observability), partnering with product/data/engineering, running experiments/A/B tests, and mentoring engineers. Requires strong Python and ML library experience, understanding of MLOps and cloud (AWS preferred), and familiarity with reinforcement learning concepts. Remote-first, distributed company.

Hiring a Senior ML Engineer to co-found the ML function, own end-to-end ML feature lifecycle (research, training, deployment, monitoring), build ML infrastructure (versioning, CI/CD, observability), work with product/data/engineering, and apply techniques including supervised models and reinforcement-learning concepts. Strong Python, ML libraries, cloud (AWS/GCP/Azure) and production ML experience expected; payments domain exposure is a plus.

Lead design and delivery of AI-powered products and foundational AI platform initiatives including foundation model training, LLM inference, similarity search, guardrails, and observability. Role requires significant hands-on experience (Bachelor's +10 years or Master's +8 years) with languages such as Python, Go, Scala, CUDA, or Java and experience architecting scalable AI systems on cloud platforms; visa sponsorship may be considered.

Capital One is hiring a Staff AI Engineer (remote-eligible, US) to partner with cross-functional teams to design, develop, deploy, and optimize foundation models and production AI systems (LLM inference, agents, VectorDBs, model routing/orchestration, observability, and governance). Requires advanced experience in AI/ML system design, cloud deployment (AWS/GCP/Azure), and programming (Python, Go, Scala, Java, C++, CUDA). Minimum experience: Bachelor's + 8 years or Master's + 6 years (posting supports a 6-year minimum). Salary ranges are listed by location in the posting; posting indicates Capital One may sponsor employment authorization.

Entry-level Associate Data Scientist role in People Analytics based in Atlanta. Supports data science projects by developing algorithms and models, running queries, applying predictive and prescriptive techniques (e.g., optimization, NLP, computer vision, recommendation), and creating visualizations and reports. Requires analytical and communication skills; minimum 0 years experience (preferred 3+ in analytics) and proficiency with tools such as Python, SQL/BigQuery, Tableau, Excel, and PowerPoint.