No matching filters. Try another name.
Valence
8+ YOECandidates need 8+ years of software engineering or AI/ML experience, ideally with a Master's or PhD in a related field. They need experience with NLP, data science tools, cloud deployment and containers.
Docker, Kubernetes, AWS, GCP, Azure, PySpark
Valence
8+ YOECandidates need 8+ years in software engineering, distributed systems, infrastructure, or SRE roles, with experience building systems other teams depend on. Hands-on skills in CI/CD, cloud platforms, containers, observability, and incident response are expected, along with clear communication skills.
Docker, Kubernetes, AWS, GCP, Azure
Shakudo
4+ YOECandidates need 4 to 8 years of solution engineering or senior client-facing engineering experience, plus hands-on Kubernetes and Helm skills, cloud platform and infrastructure-as-code experience, and strong communication with technical and non-technical audiences.
Kubernetes, Helm, Python, React, TypeScript
Shakudo
8+ YOECandidates need 8+ years in software, data, platform or AI engineering, including 3+ years building LLM applications and 5+ years with Kubernetes in production. Strong cloud, data engineering and customer-facing skills are required, with a production programming language.
Kubernetes, Spark, Airflow, Databricks, Snowflake, PagerDuty
Momentum Financial Services Group
5+ YOECandidates need a Master's with 5+ years or a PhD with 2+ years in data science or a quantitative field, plus advanced Python and SQL skills. Financial services modelling experience and strong communication skills are preferred.
Python, SQL, Snowflake, Azure, Databricks
LawZero
5+ YOECandidates need a computer science-related degree, an MSc or higher in machine learning or equivalent experience, and 5+ years of industry experience building complex ML workflows on high performance computing. Cloud, containerization, data infrastructure and deep learning research experience are also expected.
PyTorch, TensorFlow, JAX, AWS, GCP, Azure
LawZero
3+ YOECandidates need a relevant computer science degree and 3+ years designing distributed ML training frameworks, including recent use of Megatron, DeepSpeed, FSDP or vLLM. Experience with cloud platforms, Ray or SLURM, GPU profiling, Docker or Kubernetes, and deep learning research is also expected.
Megatron, DeepSpeed, HuggingFace Accelerate, FSDP, vLLM, verl
Cohere: Cohere is the leading security-first enterprise AI company.
5+ YOECandidates need 5+ years of engineering experience running large-scale production infrastructure, especially distributed systems on Kubernetes with GPU workloads. Strong Linux, cloud platform, troubleshooting and performance skills are required, and experience in Golang, C++ or a similar high-performance language is a plus.
Kubernetes, Linux, GPU, GCP, Azure, AWS
Nexxa.AI
4+ YOECandidates need 4 to 8+ years of backend or ML platform engineering experience, strong TypeScript/Node.js skills, and experience serving LLM or ML models in production. A bachelor's degree in computer science or a related field is required.
Docker, Kubernetes, Kafka, PyTorch, TensorFlow, OpenCV
Nexxa.AI
5+ YOENexxa.AI needs 5 to 10+ years of engineering experience, strong programming skills, and hands-on ML and generative AI work. Candidates also need cloud and container experience and strong communication skills for customer-facing work.
PyTorch, TensorFlow, OpenCV, Docker, Kubernetes, AWS
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.
Neo4j, Snowflake, Apache Airflow, AWS, Python, SQL
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+ YOEArtefact needs 3 to 5 years of data science experience, strong statistics and machine learning skills, and at least one model deployed to production. Candidates should know Python and SQL, have hands-on LLM experience, and be specialized in a major AI platform and a cloud platform.
Python, SQL, scikit-learn, XGBoost, PyTorch, Vertex AI
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 to 5 years of software or data engineering experience, recent hands-on work with LLM tools, and strong Python and TypeScript skills. They also need experience with RAG, vector search, an agentic framework, one major AI platform and one cloud platform, plus professional English.
Claude Code, Gemini CLI, Codex, Cursor, React, Terraform
9 companies