Machine Learning Engineer

⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Machine Learning Engineer, long-term contract, 100% remote, with a pay rate of "unknown". Key skills include Python, LLM implementation, and collaboration. Experience with Databricks, AWS DevOps, and observability tools is preferred.
🌎 - Country
United States
πŸ’± - Currency
$ USD
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πŸ’° - Day rate
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πŸ—“οΈ - Date discovered
August 23, 2025
πŸ•’ - Project duration
More than 6 months
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🏝️ - Location type
Remote
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πŸ“„ - Contract type
Unknown
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πŸ”’ - Security clearance
Unknown
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πŸ“ - Location detailed
United States
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🧠 - Skills detailed
#Python #Monitoring #Cloud #EC2 #Logging #Databricks #Data Integration #AI (Artificial Intelligence) #Data Science #DevOps #Scala #Spark (Apache Spark) #ML (Machine Learning) #Automation #"ETL (Extract #Transform #Load)" #Observability #AWS (Amazon Web Services) #Lambda (AWS Lambda)
Role description
Requisition Title: Machine Learning Infrastructure Engineer Location: 100% Remote Duration: Long Term Looking for Fulltime candidates About the job Company Description Coforge is a global digital services and solutions provider, leveraging emerging technologies and deep domain expertise to deliver impactful business results for clients. With a focus on select industries and partnerships with leading technology platforms, Coforge is a trusted partner in business transformations. The company employs a Product Engineering approach and uses AI, Cloud, Data, Integration, and Automation technologies to create intelligent, high-growth enterprises. Coforge operates 30 global delivery centers and has a presence in 23 countries. As an equal opportunities employer, Coforge welcomes applications from all backgrounds and does not discriminate on any protected basis. Role Description This is a Remote role for a Machine Learning Engineer . We are seeking a Machine Learning Infrastructure Engineer to design and build robust, scalable systems and focus on large language models (LLMs). You will work closely with data scientists, ML engineers, and product teams to create tools and frameworks that streamline the ML lifecycle TOP REQUIRED SKILLSETS: β€’ Software Engineering - Python β€’ Demonstratable experience with implementing LLM agents or working with evaluation frameworks β€’ Strong collaboration and communication skills (collaborate with Data Science, product owners, PMO) NICE TO HAVE SKILLSETS: β€’ Databricks/Spark β€’ DevOps (AWS cloud including EC2, Lambda, Cloudformation) β€’ Familiarity with logging, monitoring, or observability tools for ML systems.