Ciudad de Mexico

#7 - Senior Data Scientist & AI - Databricks

Salary: unknownRemoteSeniorData and machine learning

PythonSQLDatabricksAWSSparkLLMGCPAzureDemand planningQuality controlStatistical analysis

Original posting ↗Apply ↗Company job board ↗Follow new Python jobs in Telegram

Muttdata, a software company in AI and data, has an open position for #7 - Senior Data Scientist & AI - Databricks. The role is remote, and the posting gives Mexico City, Mexico as the location. Our labels mark it as a senior-level role in data and machine learning. The stack in the posting includes Databricks, AWS, Spark, LLM, GCP and Azure. Muttdata has 17 open positions on this site, 15 of them in IT and engineering.

Posted 11 days ago · Last checked 2026-10-31

About Muttdata

AI and data Software product company 17 open positions, 88% in IT and engineering. Most open roles: Data and machine learning (16), Backend engineering (2), DevOps / SRE / platform / cloud (1).

All open jobs at Muttdata →

Similar jobs

AI/ML Modeling Team LeadJobgether · USUSD 140K–170K / year Senior Data & Business Intelligence AnalystJobgether · USRemote Staff Analytics EngineerCoinbase · Remote - USARemote Forward Deployed AI Engineer (Python, LLMs, RAG) Geo Turkey, Croatia, Czech RepGramian Consulting Group · Croatia | Georgia | Poland | Romania | Turkey | CzechiaRemote Senior Data Scientist, PlacesRaya · RemoteRemote Lead Data Engineer - AdvertisingTruelogic · PanamaRemote Staff Program Manager, Human & LLM Data Annotation OperationsReddit · Remote - United StatesUSD 180.2K–252.3K / year Senior AI/ML EngineerTempo · United States | CanadaRemote

72 open data and machine learning jobs in Mexico 1,052 open remote data and machine learning jobs All open jobs at Muttdata →

Workplace	Remote
Seniority	Senior
Role	Data and machine learning
Countries	Mexico
Languages	PythonSQL
Employment type	Remote - Latam
Key facts	Stack: Python, SQL, Databricks, AWS, Spark, LLM, GCP, Azure · Remote

The full description is on the original posting. Labels are set automatically and can be wrong. About the data