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Thumbtack
3+ ansCandidates need a master's degree in a quantitative field or equivalent industry experience, and 3+ years as an applied scientist or ML engineer. They also need strong machine learning, statistics and causal inference skills, plus Python, SQL and experience with distributed systems.
Spark, Databricks, Python, SQL, OpenAI, Anthropic Claude
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ ansCandidates need 8+ years of data science and machine learning experience, including 2-3 years on LLM architecture and agent design, plus a master's degree or higher. Hands-on experience with Google Vertex AI and Gemini, fine-tuning pipelines, and leading teams is required.
Vertex AI, Gemini Enterprise, Agent Builder, Microsoft AI Foundry, AWS Bedrock, PyTorch
Artefact: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ ansArtefact needs 8+ years in software engineering and AI, including 2 to 3 years on LLM and agentic architecture. Candidates need a master's degree or higher, production deployments on Google Vertex AI or Gemini Enterprise, hands-on agent frameworks and team leadership experience.
Google Vertex AI, Gemini Enterprise, LangGraph, LangChain, Google ADK, Claude Agent SDK
Levio
8+ ansCandidates need a Bachelor's or Master's degree in a technical field and 8+ years in senior technical or architecture roles, including 4+ years on AI/ML. Strong experience architecting AI on AWS, especially SageMaker and Bedrock, is required.
AWS Bedrock, AWS SageMaker
Levio
6+ ansCandidates need a Bachelor's or Master's in a related field, 6+ years of software development including 3+ years delivering AI solutions, expert Python, and hands-on AWS SageMaker and Bedrock experience. Experience with TensorFlow, PyTorch or scikit-learn is also required.
AWS SageMaker, AWS Bedrock, GitHub Copilot, Claude Code, TensorFlow, PyTorch
Caylent
7+ ansCandidates need 7+ years of software engineering experience, including 2+ years building on Amazon Connect or a similar platform at enterprise scale. They also need strong TypeScript, Node.js, Python and React skills, AWS serverless experience, and hands-on work with generative AI tools like Bedrock.
Amazon Connect, Amazon Bedrock, Amazon Q in Connect, AWS CDK, AWS Lambda, CloudWatch
Later
7+ ansCandidates need 7+ years of DevOps, cloud or software engineering experience with technical leadership. Deep Kubernetes (EKS) and Helm experience, hands-on AWS and Terraform skills, and experience deploying ML models in production are required.
Kubernetes, EKS, Helm, Terraform, AWS, GCP
Vooban
7+ ans7 à 10 ans d'expérience en développement logiciel; 1 à 2 ans de LLM en production; Maîtrise de Python, Java ou GoLang un atout
Claude Code, GitHub Copilot, VS Code, LangChain, LangGraph, CrewAI
Procurify
8+ ans3+ gestionCandidates need 8+ years of software engineering experience, including 3+ years leading engineering teams and 3-5+ years building AI products in production. Strong hands-on experience with LLM applications, RAG, agentic workflows and AI monitoring is required.
Python, Azure OpenAI, AWS Bedrock, Databricks, Kubernetes, LangChain
Babylist: The Babylist ecosystem now includes Babylist Health, which provides access to products and services including insurance-covered breast pumps,…
Candidates need years of shipped production experience, strong judgment on architecture and product tradeoffs, and a track record of changing how a team builds, including with AI. Fluency in Rails, React and TypeScript is listed, along with the ability to work ambiguously across teams.
Rails, React, MySQL, Snowflake, Airflow, Kubernetes
Knak
6+ ansCandidates need 6+ years of software development experience, including production work with LLM-powered agents and evaluation of LLM systems. Strong Python, Node.js and MySQL skills, plus REST API, CI/CD and AWS experience, are required.
LangSmith, LangGraph, AWS Lambda, AWS Bedrock, GitHub Actions, Docker
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ ansCandidates need 8+ years in data science and machine learning, including 2-3 years on LLM architecture and agentic design, plus proven production deployments. Hands-on skill with Google Vertex AI and Gemini, ML libraries, agent SDKs and fine-tuning frameworks, along with team leadership and client-facing pre-sales experience, is required.
Google Vertex AI, Gemini Enterprise, Agent Builder, PyTorch, TensorFlow, scikit-learn
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ ansCandidates need 8+ years of software engineering and AI experience, including 2 to 3 years on LLM architecture and agentic design. Strong production experience with Google Vertex AI and Gemini, agent frameworks, cloud architecture and team leadership is required, along with a master's degree or higher in a related field.
Google Vertex AI, Gemini Enterprise, LangGraph, LangChain, Google ADK, Claude Agent SDK
SOVRA
5+ ansCandidates need a bachelor's degree in computer science, engineering or a related field and 5 to 10 years of data engineering experience. They must be fluent in Python, SQL, AWS data services, dbt and lakehouse patterns, and be fluent in English and French.
dbt, AWS S3, AWS Glue, AWS Athena, AWS DMS, AWS Bedrock
SOVRA
5+ ansCandidates need 5+ years in DevOps, Cloud Engineering or SRE, and 3+ years of hands-on AWS experience with Terraform. They must have built CI/CD pipelines in GitHub Actions or a similar tool, know cloud security basics, have observability experience, and write strong Python or Bash scripts.
AWS, Terraform, GitHub Actions, Datadog, ELK, OpenSearch
TTEC Digital
8+ ans3+ gestionCandidates need 8+ years of software engineering experience, including 3+ years of management while staying hands-on. They must have experience with distributed systems, JavaScript, TypeScript, Node.js, and cloud platforms, and use AI coding tools daily.
GitHub Copilot, Cursor, Claude Code, Kubernetes, Google Cloud, Node.js
StackAdapt: StackAdapt is the leading technology company that empowers marketers to reach, engage, and convert audiences with precision.
Candidates need hands-on experience with cloud AI services and LLM APIs, strong Python skills, and knowledge of NLP, vector databases and RAG systems. A bachelor's degree in computer science or IT, or equivalent practical experience, is required.
Python, LangChain, LlamaIndex, OpenAI, Google Vertex AI, AWS Bedrock
TELUS Digital
Candidates need deep experience with cloud data platforms such as Databricks, Snowflake and major cloud providers, plus machine learning and MLOps knowledge. Strong estimation, client-facing communication and commercial or budget experience in agency settings are also required.
Databricks, Snowflake, AWS Bedrock, AWS SageMaker, Azure ML, Google Vertex AI
Quandri
4+ ansCandidates need 4 to 6 years of professional data engineering experience, strong Python and SQL skills, and experience with cloud platforms and pipeline tools. Experience with multi-tenant systems, regulated personal data, and AI products is also required.
Databricks, dbt, Apache Airflow, Dagster, AWS Step Functions, Databricks Workflows
ContactMonkey
3+ ansCandidates need 3+ years of professional software engineering experience with hands-on AI/ML or LLM-powered features, and a Bachelor's degree or equivalent practical experience. They need strong fullstack skills (Ruby on Rails and Vue.js or React), infrastructure as code (Terraform), and working AWS knowledge.
Ruby on Rails, Vue.js, Amazon Bedrock, AWS EKS, Terraform, Terragrunt
18 entreprises