AI/ML Engineer
Nelnet
AWSBigQueryCloudDockerGoogle Cloud PlatformJavaScriptKubernetesMongoDBNeo4jNode.jsPySparkPython+3 more
Machine Learning Engineer – LatAm
ReflexAI
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇺🇸 United States
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
AWSAzureCloudGoogle Cloud PlatformPandasPythonPyTorchScikit-LearnTensorflow
About the role
- 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
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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningnatural language processingPythondeep learningtext classificationquestion-answeringchatbotstext summarizationspeech recognitionnatural language generation
Soft skills
teamworkcommunicationcollaborationopen mindednessprofessionalismempathydesire to learn
