ReflexAI

Helping emergency response, crisis intervention & healthcare organizations develop their teams and assure quality.

Machine Learning Engineer – LatAm

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 11-50Since 2022H1B No SponsorCompany SiteLinkedIn

Location

United States

Posted

143 days ago

Salary

Not specified

Bachelor Degree3 yrs expEnglishAWSAzureCloudGoogle Cloud PlatformPandasPythonPy TorchScikit LearnTensorflow

Job Description

• Ideate, develop, and deploy scalable and cost-efficient machine learning and natural language processing models • Build scalable infrastructure for training, evaluating, and serving models • Analyze datasets to improve current approaches and prototype new ideas • Develop tools and processes for sourcing, analyzing, labeling, and storing conversation data • In all key responsibilities, view work through critical ethical lenses including fairness, quality, and trust

Job Requirements

  • Significant experience (typically 3+ years) of building production-grade machine learning models in industry and/or academic research settings
  • Expertise in various facets of NLP, such as conversational dialogue, speech recognition, text-to-speech, natural language generation, text classification, question-answering, chatbots, and text summarization
  • Strong programming skills in Python and deep-learning / NLP tools (Scikit-learn, Pandas, PyTorch, Tensorflow, NLTK, spaCy, Jupyter)
  • Experience building end-to-end scalable ML infrastructure with on-premise or cloud platforms including Google Cloud Platform (GCP), Amazon Web Services (AWS) or Azure
  • Strong teamwork skills including communication and collaboration with both technical and non-technical team members
  • Open mindedness as demonstrated by ability to consider other perspectives and feedback, ability to engage in discussions with professionalism and empathy, and a strong desire to learn.

Benefits

  • Generous retirement, equity, healthcare, and PTO policies
  • Flexibility to work remotely from anywhere in the United States

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