Jobs via Dice
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer in San Francisco, CA, offering a 6+ month contract. Key skills include Python, AWS, SQL, and GraphQL, with 10-12 years of experience in asset management or financial services required.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
January 7, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
San Francisco, CA
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🧠 - Skills detailed
#Databases #ML (Machine Learning) #S3 (Amazon Simple Storage Service) #Cloud #Pandas #GraphQL #Programming #Redis #Flask #"ETL (Extract #Transform #Load)" #SQL (Structured Query Language) #FastAPI #SQL Queries #API (Application Programming Interface) #AWS (Amazon Web Services) #Python #NumPy #Batch
Role description
Title : Machine Learning Engineer
Location: San Francisco, CA Hybrid 3 days/week
Duration: 6+ month contract
Must have:
• Strong working experience in python including Pandas, numpy and FastAPI/Flask frameworks.
• Good knowledge of cloud services, preferably AWS.
• Strong Database knowledge and be able to write and comprehend SQL queries.
• Should have Graphql knowledge
• Experience building API, Calculation Engines, batch, and real time modules supporting web applications used by Trading or Portfolio management teams
• Experience building real time applications for Structured, Rates, Corporate or Municipal Fixed Income Desk Experience with Python programming, AWS Stack - EKS, API Gateway, Lamda, Redis. Databases Postgress, S3 technologies, Integrating with market data providers like Bloomberg, TradeWeb etc.
• Should have worked on any ETL pipeline
• 10-12 years of Experience in Asset management or financial services industry
• Strong communication skills, capable to coordinate with various stakeholders
Title : Machine Learning Engineer
Location: San Francisco, CA Hybrid 3 days/week
Duration: 6+ month contract
Must have:
• Strong working experience in python including Pandas, numpy and FastAPI/Flask frameworks.
• Good knowledge of cloud services, preferably AWS.
• Strong Database knowledge and be able to write and comprehend SQL queries.
• Should have Graphql knowledge
• Experience building API, Calculation Engines, batch, and real time modules supporting web applications used by Trading or Portfolio management teams
• Experience building real time applications for Structured, Rates, Corporate or Municipal Fixed Income Desk Experience with Python programming, AWS Stack - EKS, API Gateway, Lamda, Redis. Databases Postgress, S3 technologies, Integrating with market data providers like Bloomberg, TradeWeb etc.
• Should have worked on any ETL pipeline
• 10-12 years of Experience in Asset management or financial services industry
• Strong communication skills, capable to coordinate with various stakeholders
