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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