Senior AI Engineer

TransUnion is hiring Consultants in Data Science & Analytics to work remotely in the US on client implementations. Responsibilities include scoping and delivering post-sales deployments, configuring and diagnosing ETL and data integrations, transforming and debugging data pipelines, and collaborating with cross-functional teams. Required: bachelor's degree plus 3 years in market research analytics and proficiency in tools such as Tableau, SQL, BigQuery, GCP, Google Analytics, and ETL technologies.

Kunai is hiring a Remote (United States) Data Engineer to support a banking client. The role requires 5+ years in application development (strong Python), 4+ years hands-on with AWS, 4+ years with relational databases including PostgreSQL and complex SQL, experience with data migration in cloud environments, familiarity with Databricks and Snowflake, distributed/batch/stream processing tools (Spark, Kafka, Kinesis), and workflow orchestration (Airflow). Bachelor's degree required (or equivalent experience/training).

Remote Senior AI Engineer (+ Networking) role based in Colombia. Requires 5+ years of experience designing and deploying automation solutions using Python, REST APIs, Terraform, Ansible, CI/CD and AI technologies (GenAI, Agentic AI, LLMs, RAG). Preferred experience includes enterprise networking (SD-WAN, Palo Alto, F5, Aruba/Cisco), multicloud (Azure, GCP, OCI), and developing self-healing or AI-driven operational capabilities.

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.

Owner of solution design and implementation for Hightouch's Identity Resolution product. Responsibilities include assessing customer data landscapes, designing IDR rules and data models, implementing deployments, writing and reviewing SQL for debugging, and collaborating with Sales Engineering and Customer Support. Requires 2+ years in analytics/implementation roles and fluency with data warehouses such as Snowflake, BigQuery, or Databricks.

This forward-deployed architect works directly with enterprise customers to scope discovery, design target-state schemas and identity matching rules, direct builds (including reviewing and owning models), and produce reusable reference architectures. Requires strong SQL fluency and experience with Snowflake, Databricks, or BigQuery, 5+ years in customer-facing technical roles (analytics engineering, solutions architecture, or similar), and experience with CDPs/identity resolution and transformation tooling (dbt/SQLMesh) is a plus.

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.