Ml/ Ai Engineer

Machine Learning / AI Engineer - Remote - Series B funded FinTech
This Jobot Job is hosted by: Jesse Gray
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Salary: $175,000 - $215,000 per year

A bit about us:

We are a high performing AI FinTech that operate in the market data space. Our client manage vast amounts of data and go far beyond generating investment insights.

Why join us?

My client seek an AI/ML engineer that brings innovative concepts from diverse fields such as information retrieval, distributed computing, designing large-scale systems, networking, data storage, cybersecurity, artificial intelligence, natural language processing, mobile and UI design.

Job Details

Job Details:
We are seeking a highly skilled and passionate Permanent ML/AI Engineer to join our dynamic team in the technology industry. The ideal candidate will have a strong background in Machine Learning and Artificial Intelligence, with an interest in joining a complex high performing Data Science team.
Responsibilities:
You will design and implement Machine Learning solutions for internal and customer use cases, leveraging best of breed products including TensorFlow/PyTorch, DataFlow, OpenAI, LLAMA, and Vertex AI. You will work closely with Product Management and Product Engineering.
1. Design, develop and implement advanced machine learning algorithms to solve complex problems and deliver business value.
2. Work closely with the data science team to understand, analyze, and define data requirements for different business processes.
3. Develop predictive models and machine learning algorithms, leveraging technologies such as TensorFlow, Hadoop, and Spark.
4. Apply NLP techniques to extract insights from unstructured data and improve our understanding of customer behavior.
5. Develop and maintain scalable machine learning solutions in production.
6. Conduct research on the latest AI/ML technologies and trends, and implement new methodologies as needed.
Qualifications:
1. Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. A Master's degree or PhD would be an advantage.
2. Minimum of 3 years of experience in machine learning, artificial intelligence, or a related field.
3. Proven experience with AI/ML technologies such as TensorFlow, Hadoop, and Spark.
4. Solid understanding and experience in applying NLP techniques.
5. Experience in developing and implementing machine learning models in production.
Interested in hearing more? Easy Apply now by clicking the "Apply Now" button.