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Index Exchange
Candidates need a Master's or PhD in a STEM field, or equivalent Data Scientist experience, plus industry experience applying ML at scale. They need MLOps expertise, Python and ML framework skills, and a strong math and statistics background.
Python
Tiger Analytics Inc.
Candidates need hands-on experience with Google Cloud Platform and Vertex AI, strong Python skills, and experience with generative AI, RAG and agent frameworks. Experience building APIs, scalable systems and production ML workflows is also expected.
Vertex AI, BigQuery, Dataflow, Pub/Sub, Cloud Run, Cloud Functions
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.
5+ YOECandidates need a bachelor's degree or higher in computer science or a related field and 5+ years of work experience. They must know Python, Spark, Hadoop and Docker, and be able to run production pipelines, containers and cloud environments.
Python, Spark, Hadoop, Docker, Kubernetes, Airflow
Tiger Analytics Inc.
Candidates need hands-on Google Cloud Vertex AI experience, advanced SQL for BigQuery and Python for machine learning. They also need experience with cloud storage, model endpoints, data preprocessing and agentic AI architectures.
Vertex AI, BigQuery, Spanner, AlloyDB, Dataflow, Google Cloud Storage
Tiger Analytics Inc.
7+ YOECandidates need 7+ years in software, ML or AI engineering, strong Python skills, and hands-on experience building GenAI or agentic AI systems in production. Experience with at least one major cloud (AWS, Azure or GCP) and strong customer-facing communication are also required.
Python, Amazon Bedrock, Azure OpenAI Service, Vertex AI, OpenSearch Serverless, Azure AI Search
Omilia: Omilia is trusted by the world’s most demanding enterprises including Capital One, Discover Financial Services, Taco Bell, RBC, DWP, First Financial…
Candidates need a master's or PhD in linguistics, phonetics, or a related field, plus proven experience building pronunciation lexicons or G2P systems. Strong phonetic knowledge, IPA and machine-readable phoneme notation skills, and fluency in English plus one other relevant language are also required.
Praat, ELAN, Audacity, Phonetisaurus, Sequitur, Python
ML arteka
Candidates need experience leading large data migrations, designing governed data models, and building lineage and audit trails in regulated financial services. Deep AWS data platform skills (Aurora PostgreSQL, S3, Glue, Athena, Iceberg, Lambda, Step Functions) are also required.
AWS Glue, Aurora PostgreSQL, AWS Lambda, AWS Step Functions
ML arteka
Candidates need experience designing semantic layers over cloud analytical stores like Athena, BigQuery or Snowflake, and hands-on Power BI skills including DAX and Row Level Security. They also need AWS data stack knowledge, dimensional modeling, and a habit of writing tests for data pipelines and models.
Power BI, Athena, S3, Iceberg, Aurora PostgreSQL, AWS
Bell Canada: Bell is Canada's largest communications company providing advanced Bell broadband wireless, Internet, TV, media and business communications services.
3+ YOEBell Canada needs recent graduates with a degree or diploma in computer science, math, engineering, statistics or a related field, and under three years of work experience. Candidates need Python, SQL or R skills, familiarity with Git, cloud platforms and databases, and French for Quebec positions.
Python, SQL, R, Git, Docker, Kubernetes
CoreWeave
7+ YOECandidates need 7+ years of B2B sales with 3+ years in enterprise sales and 3+ years selling developer tools, cloud infrastructure or AI/ML software. They must consistently generate pipeline and book 4 to 5 qualified meetings per week.
CRM
ZoomInfo Technologies LLC
5+ YOEZoomInfo needs candidates with a bachelor's degree in a technical field or equivalent experience, and 5+ years of professional software engineering experience. Candidates should be strong in Python and SQL, and have experience running cloud applications and data pipelines in production.
Python, SQL, CI/CD, version control
LinkedIn Job Wrapping: 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, strong Python and TypeScript skills, and hands-on work with Gemini, Vertex AI and RAG. Artefact also expects fluency with agentic coding tools and GCP experience, and a Google Cloud certification (or commitment to obtain one within two months).
Gemini Enterprise, Vertex AI, Google ADK, BigQuery, LangGraph, LangChain
LinkedIn Job Wrapping: 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 data science experience, strong statistics and ML skills, and proficiency in Python and SQL. Hands-on LLM experience and a specialization in a major AI platform ecosystem (Google, Anthropic or OpenAI) are required, along with a master's degree or equivalent experience.
Python, SQL, scikit-learn, XGBoost, PyTorch, Vertex AI
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ YOECandidates need 8+ years in data science and machine learning, including 2-3 years on LLM architecture and agentic systems, and a master's degree or higher. Deep experience with Google Gemini Enterprise and Vertex AI, plus leadership and client-facing skills, is required.
Vertex AI, Gemini Enterprise, Agent Builder, Microsoft AI Foundry, AWS Bedrock, LangGraph
LinkedIn Job Wrapping: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ YOECandidates need 8 or more years in software engineering and AI, including 2 to 3 years on LLM architecture and agentic design. A Master's degree or higher in a related field, hands-on experience with agentic SDKs and Google Vertex AI, and experience leading engineering teams are required.
Vertex AI, Gemini Enterprise, Microsoft AI Foundry, AWS Bedrock, LangGraph, Kubernetes
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
5+ YOECandidates need a Master's or PhD in a technical field and at least 5 years of experience training and deploying machine learning models in production. Strong Python skills and hands-on experience training models across multiple GPUs or nodes are required.
Python, GPU clusters
Serve Robotics: Serve Robotics (NASDAQ:SERV) develops advanced, AI-powered, low-emissions sidewalk delivery robots that endeavor to make delivery sustainable and…
Candidates need product or engineering experience with data infrastructure in autonomous vehicles, automotive or robotics, plus experience building production ML Ops pipelines. Familiarity with training datasets, model evaluations and active learning is also required.
NAS, cloud infrastructure
Quora
4+ YOEQuora needs 4+ years of professional machine learning experience, including deploying ads ranking models at scale. Candidates also need strong Python, PyTorch or TensorFlow skills, and a degree in a technical field.
PyTorch, TensorFlow, Python
14 companies