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Wynd Labs

Machine Learning Engineer

NEW
RemoteFull-timeGlobal
📊 Mid🏠 Remote
RemoteRemote work position availableActivePosted within the last 30 days

Job Description

[AI-summarized by JobStash]

You will develop, fine-tune, and deploy large language models for NLP tasks such as text generation, summarization, translation, and sentiment analysis. You will design and implement scalable data processing and analysis pipelines, analyze complex time series data, and apply OCR to extract and normalize text. You will build, maintain, and improve data-driven models and algorithms, ensure data quality and integrity, collaborate with cross-functional teams to deliver solutions, and continuously research and adopt best practices in machine learning and data science.

Requirements

  • â—ŹBachelor’s, Master’s, or Doctoral degree in Data Science, Computer Science, Statistics, or a related field
  • â—ŹMinimum of 3 years of work or research experience with large datasets
  • â—ŹStrong coding skills in Python or other object-oriented programming languages
  • â—ŹGraduate-level knowledge of statistics including hypothesis testing, regression analysis, and probability
  • â—ŹGood communication skills and ability to articulate complex data concepts to non-technical stakeholders
  • â—ŹExperience working in a high output team and thriving in a fast-paced startup environment

Responsibilities

  • â—ŹDevelop, fine-tune, and deploy LLMs for NLP tasks
  • â—ŹDesign and implement data processing and analysis pipelines
  • â—ŹAnalyze time series data and provide actionable insights
  • â—ŹDesign, implement, and maintain data-driven models and algorithms
  • â—ŹEnsure data quality and integrity across processes
  • â—ŹImplement OCR solutions to extract and normalize text
  • â—ŹCollaborate with cross-functional teams to deliver data solutions
  • â—ŹResearch and apply best practices in machine learning and data science
  • â—ŹContribute to development and improvement of internal data processing tools and infrastructure

Benefits & Perks

  • â—ŹRemote work
  • â—ŹEquity
  • â—ŹBenefits package

Tech Stack

model deploymentOCRdata pipelineabstractive summarizationNLPmachine learningLLMregressionPythonData annotationproject:Wynd Network
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