Join our Facebook group
👉 Remote Jobs Network
Qarik Group
Co-create Your Cloud-Native Future with Qarik: Go further, faster.
Google Cloud Migrations • Machine Learning • Kubernetes • Data Analytics • Google Cloud Platform
51 - 200
Machine Learning Scientist
August 29
Qarik Group
Co-create Your Cloud-Native Future with Qarik: Go further, faster.
Google Cloud Migrations • Machine Learning • Kubernetes • Data Analytics • Google Cloud Platform
51 - 200
Description
• Develop applications on Google Cloud for Generative AI tasks. • Work with clients to gather requirements and suggest improvements. • Implement best practices for AI and LLMs.
Requirements
• Required hands-on experience designing and implementing applications using Large Language Models (LLM). • Python programming. • Google VertexAI, Tensorflow or PyTorch, AutoML • Classic Machine Learning (ML frameworks, neural net models development, training, tuning, serving). • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field • Shell scripting • MLOps (ideally on GCP) • Data Engineering (including SQL)
Apply NowSimilar Jobs
August 28
Earth Species Project
2 - 10
Apply data engineering and machine learning to bioacoustics and animal communication challenges.
August 27
Dynamo AI
11 - 50
Ideate and develop innovative ML product features for DynamoGuard.
🇺🇸 United States – Remote
💰 $15.1M Series A on 2023-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
August 27
Dynamo AI
11 - 50
Own ML privacy verticals and collaborate to deliver real-world AI applications.
🇺🇸 United States – Remote
💰 $15.1M Series A on 2023-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
August 27
Dynamo AI
11 - 50
Evaluate and benchmark LLMs for safe, responsible AI applications.
🇺🇸 United States – Remote
💰 $15.1M Series A on 2023-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer
August 27
Dynamo AI
11 - 50
Design and maintain ML solutions focusing on safety for private and personalized LLMs.
🇺🇸 United States – Remote
💰 $15.1M Series A on 2023-08
⏰ Full Time
🟡 Mid-level
🟠 Senior
🤖 Machine Learning Engineer