Machine Learning Engineer

3 weeks ago


New York, New York, United States TEPHRA Full time
Job Title: Machine Learning Engineer

Company Overview:
Tephra is a leading innovator in the conversational AI space, dedicated to delivering exceptional solutions that transform businesses. We're seeking a talented Machine Learning Engineer to join our team and contribute to the development of cutting-edge AI technology.

Salary: $150,000 - $200,000 per year

Job Description:
In this role, you'll be responsible for designing and implementing machine learning models and algorithms to power our conversational AI solutions. Your expertise will enable us to improve customer experience, engagement, and personalization. You'll work closely with our team to understand client requirements, envision solutions, and build scalable conversational AI systems.

Key Responsibilities:
  • Design and implement machine learning models and algorithms for conversational AI.
  • Work closely with cross-functional teams to understand client needs and develop tailored solutions.
  • Lead customer discussions on data usage and organization for conversational AI.
  • Choose, extend, and innovate ML solutions for various problem areas.
  • Define solution architecture and review implementation plans.


Required Skills and Qualifications:
* Bachelor's or Master's degree in Data Analytics, Computer Science, Artificial Intelligence, Statistics, or related field.
* Hands-on experience with structured and unstructured data from multiple sources and applying machine learning techniques.
* Experience with Python, R, Java, C#, Spark, AutoML, TensorFlow, Amazon AML, Microsoft Machine Learning Studio, PyTorch, IBM Watson, and graph DBs.
* Strong analytics and strategic thinking skills with ability to communicate complex ideas through pointed analysis and data visualization.
* Good understanding of Conversational technologies involving text, voice, vision, AR/VR, Gestures, and NLP platforms and APIs from Apple, Google, Amazon, Microsoft, IBM, and other vendors.
* Proven track record of implementing ML solutions and working on big data initiatives and scalable data architecture like Hadoop, Hive, Cloudera, Spark.

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