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Location

Sunnyvale, CA | United States

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Job description

Machine Learning Engineer with a strong background in Machine Learning (ML) and Natural Language Processing (NLP). The ideal candidate will have extensive experience in developing and deploying ML models, particularly in the domain of NLP.

Responsibilities:

Develop and implement ML algorithms and models, with a focus on NLP tasks
Design and optimize data pipelines for efficient data processing using PySpark and SQL. Conduct exploratory data analysis to gain insights and identify patterns in large datasets. Evaluate and select appropriate ML frameworks and libraries to support project goals.
Stay updated with the latest advancements in ML and NLP technologies, and integrate them into existing workflows when applicable.
Ensure the scalability, reliability, and performance of ML models in production environments.

Skills:

Strong proficiency in Python programming and popular ML/NLP libraries such as TensorFlow, PyTorch, NLTK, spaCy, etc.
Solid understanding of data processing frameworks like PySpark and SQL, with hands-on experience in building and optimizing data pipelines.
Excellent problem-solving skills and the ability to work independently as well as in a team environment.

#LI-PT1

Pay Range: $70 - $80/ hr on C2C

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, vision as well as 401K contributions.

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Salary