Senior Machine Learning Engineer

United States

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Dialexa

At Dialexa, an IBM Company, we engineer and create game-changing technology products across mobile, web, Internet of Things (IoT) and embedded device platforms.

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Dialexa is expanding its Data Science practice and is looking for great talent to join us in building intelligent, next-generation platforms. Are you tired of just pushing out ones and zeros and you yearn to solve hard problems? Do you want to work on an awesome team of designers and developers in a full agile process? Do you want your creative technical ideas to be listened to, heard, and implemented? Do you want to create applications that people love?

We develop for a wide array of technology platforms and frameworks including mobile, web, Internet of Things (IoT), wearables, and embedded devices. We have an awesome culture that includes perks such as fun quarterly team outings, healthcare benefits, 401K, PTO, wellness programs, and much, much more. To learn more about Dialexa, please visit www.dialexa.com

 

Responsibilities

  • Build and estimate data science teams and projects
  • Lead projects overseeing data scientists, data engineers, software engineers, and designers
  • Define and decide the best approach to executing machine learning projects based on stakeholder business requirements
  • Advise clients on the benefits and risks of leveraging different machine learning models to solve business problems
  • Architect and develop machine learning models
  • Design simulations to test, train and retrain machine learning models
  • Leverage platforms to productionalize models into a variety of platform architectures
  • Coordinate with multiple internal and external functional teams to implement models and monitor outcomes
  • Develop result-oriented goals and success criteria to continuously monitor and test solutions
  • Help drive business results and participate in the growth of the practice and the company
  • Mentor new data scientists and engineers on technical capabilities and career goals

 

Expectations (the more the better - we want great talent!)

  • Bachelor’s Degree from a 4-year college/university with a relevant degree (data science, computer science, etc.) or equivalent experience and certifications
  • Experience leading data science projects in a production environment
  • 3+ years in data science roles or similar experiences
  • 3+ years leading projects in client-facing roles
  • Knowledge of and/or experience with major MLOps platforms (Sagemaker, Azure ML, Google Cloud AI, MLFlow, etc.)
  • Experience with:
    • Python and other similar coding technologies (e.g. Scala, Java, R, etc.)
    • Training machine learning models (e.g. Scikit-learn, Tensorflow, Keras, PyTorch)
    • Advanced data science concepts (e.g. Deep Learning, NLP, Computer Vision)
    • Data prep, ETL pipelines, and Distributed Computing (e.g. Pandas, Spark, dask)
    • Cloud infrastructure and services (e.g. AWS, Azure, Google Cloud)
  • Must be comfortable being online and available approximately between 8AM to 6PM CST

 

 

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Architecture AWS Azure Computer Science Computer Vision Deep Learning ETL GCP Google Cloud Keras Machine Learning MLFlow ML models MLOps NLP Pandas Pipelines Python PyTorch R SageMaker Scala Scikit-learn Spark TensorFlow

Perks/benefits: Career development Team events

Region: North America
Country: United States
Job stats:  21  5  0

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