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Machine Learning Engineer
Há 1 mês
Job Title: MLOps Engineer
About the Role:
At Bynd Limited, we're looking for a skilled MLOps Engineer to join our team in Europe. This individual will work with a team of Machine Learning, Data, and MLOps Engineers to deploy and monitor Machine Learning models, with a strong focus on generative AI and LLM-based agents.
Key Responsibilities:
• Deploy and maintain efficient and error-free ML model pipelines
• Establish and optimise continuous integration and continuous deployment for training, testing, and deployment of models
• Monitor models in production to minimise decay and maximise availability
• Manage multiple versions of models, being able to roll them back, if necessary
• Establish, maintain, and deploy API endpoints, ensuring that engineers can interact with them in a secure and efficient way
Requirements:
• Minimum of 4 years in artificial intelligence, DevOps, or Machine Learning related positions
• High proficiency in English (both written and oral)
• Strong capability in identifying issues and formulating effective solutions
• Google Cloud or AWS MLOps related certifications are highly desirable
Preferred Technologies:
• Machine Learning: Google Vertex AI, TensorFlow, PyTorch, scikit-learn, etc.
• Ops: Google Cloud's MLOps, GCP Cloud Build, LLMOps
• Generative AI: Frameworks: LangChain
• LLMs: Google: Gemini, PaLM2, Imagen; OpenAI: GPT4, GPT3.5; Anthropic: Claude; Hugging Face open source models
• Cloud Computing: Google Cloud Platform, AWS, Azure
• Data: Analytics: R, MatLab, Jupyter, Pandas
• BigData: GCP BigQuery, Snowflake, Hadoop, DataFlow
About Bynd Limited:
We value diversity and inclusivity in the workplace and strive to create a welcoming environment for everyone. If you're passionate about AI and want to join a team that's pushing the boundaries of what's possible, we'd love to hear from you.
