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Tiger Analytics Inc.
Candidates need hands-on experience with Google Cloud and Vertex AI, strong Python skills, and experience with generative AI, APIs, and scalable system design. The posting asks for advanced skills in RAG, agent frameworks, and fine-tuning.
Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions
Tiger Analytics Inc.
Candidates need hands-on GCP and Vertex AI experience, expert Python skills, and knowledge of ML frameworks and generative AI such as RAG and agent frameworks. Experience building APIs, cloud architecture and scalable distributed systems is also required.
Vertex AI, BigQuery, Dataflow, Cloud Functions, Pub/Sub, Cloud Storage
8+ YOECandidates need a bachelor's degree or equivalent practical experience, 8 years in cloud computing or technical customer-facing roles, and people management experience. Strong Python skills and experience building agentic systems with tools, multi-agent workflows and RAG are required.
Python, Vertex AI, Gemini
ATB
5+ YOECandidates need a bachelor's or master's degree in a technical field and 5+ years in AI/ML platform administration, enterprise cloud and ML deployment. Deep hands-on experience with enterprise LLM platforms, Python or similar coding, MLOps and containers, plus familiarity with OSFI E-23, E-21 and NIST AI RMF, is also required.
Google Gemini, Anthropic Claude, OpenAI Enterprise, Microsoft Copilot, Vertex AI, AWS SageMaker
hireVouch: Company Marketing Strategy
8+ YOECandidates need 8+ years building scalable distributed systems and 2–3+ years shipping production AI applications with LLMs. Hands-on experience with LangGraph or LangChain, RAG, tool calling, Kafka-style event-driven systems and cloud platforms is required, plus expertise in Python or Java.
LangGraph, LangChain, Kafka, Pub/Sub, Vertex AI, Spring Boot
hireVouch: Company Marketing Strategy
5+ YOECandidates need 5+ years of software development, including 3+ years in data engineering for ML teams, with experience building ML training pipelines and lakehouses. Strong Python, SQL and Spark skills, feature store and MLOps experience, and Kafka and Airflow are required.
Spark, Snowflake, Databricks, Delta Lake, Kafka, Airflow
Insight Global: Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world.
3+ YOEInsight Global needs candidates with 3 to 5 years of machine learning, AI or software engineering experience, strong Python skills, and hands-on work building LLM applications, agents and RAG systems. Experience with GCP Vertex AI, LangGraph and production AI deployment is required.
Python, LangGraph, Vertex AI, Langfuse, GCP
Welcome to the Jungle: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ YOECandidates need 3–5 years of software or data engineering experience, hands-on Google AI stack experience (Gemini, Vertex AI), strong Python and TypeScript skills, and experience with RAG, vector search and agentic frameworks. A Google Cloud certification is required within two months of joining if not already held.
Gemini Enterprise, Vertex AI, BigQuery, Google ADK, LangGraph, LangChain
Celestica International LP
5+ YOECandidates need 5+ years of supply chain and AI experience, hands-on machine learning and LLM skills, and expert Python and PySpark. They also need strong SQL, MLOps, cloud experience on Azure or Google Cloud, and Power BI.
Python, PySpark, SQL, Power BI, Azure Databricks, Azure Data Factory
Celestica International LP
11+ YOECelestica International LP needs candidates with 11+ years in IT, software engineering or data science, including 3-5 years in AI/ML engineering. They must know generative AI, vector databases, advanced Python and a cloud AI platform, and communicate well with non-technical leaders.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Pinecone
Clera
6+ YOEClera needs at least 6 years of software or ML engineering experience, including shipping ML or LLM systems to production. Strong Python skills and experience with model serving, evaluation or real-time voice systems are valued.
Ray Serve, Dagster, LiveKit, Vertex AI, GCP, Kubernetes
16 companies