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Google Cloud Platform Machine Learning Engineer - Remote

Salary undisclosed

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Role: Machine Learning Engineer

Location: Remote

*Need to have LLM, OCR AND MLp, Google Cloud Platform/VertexAI and NoSQL experience*

Position Summary:
We are seeking a Machine Learning Engineer to design and implement robust Machine Learning applications that drive innovation and business insights. You will collaborate closely with data scientists, software engineers, and product managers to integrate ML capabilities into our products and services, ensuring high performance and scalability. Strong Python programming skills is essential, must have prior experience working on Google Cloud Platform and Vertex AI, as well as working with NoSQL databases like MongoDB.
Required Qualifications:
- Proven experience as a Machine Learning Engineer (1+ years)
- Proficiency in Python programming language
- Experience with RDBMS & NoSQL databases (e.g., MongoDB, BigQuery)
- Experience with data preprocessing, feature engineering, and model evaluation
- Experience with cloud platforms (Azure, Google Cloud)
- Understanding of machine learning concepts and workflows
Preferred Qualifications::
- Familiarity with Vertex AI & Azure OpenAI
- Experience working with LLMs and RAGs
- Knowledge of natural language processing (NLP)
- Familiarity with big data technologies (Apache Spark)
- Experience with streaming data technologies (e.g., Apache Kafka, PubSub)
- Familiarity with version control systems (e.g., Git)
- Strong problem-solving skills and attention to detail
- Ability to work collaboratively in a team environment

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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