Data Scientist/Machine Learning Engineer

Pittsburgh, PA, US • Posted 16 hours ago • Updated 16 hours ago
Full Time
On-site
Depends on Experience
Fitment

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Job Details

Skills

  • Deep Learning
  • Artificial Intelligence
  • Communication
  • Conflict Resolution
  • D3.js
  • Dash Python
  • Agile
  • Amazon SageMaker
  • Amazon Web Services
  • Analytical Skill
  • Articulate
  • Microsoft Azure
  • Natural Language Processing
  • Operations Research
  • Predictive Modelling
  • Flask
  • GitHub
  • IBM
  • Lifecycle Management
  • Python
  • Regression Analysis
  • Machine Learning (ML)
  • Problem Solving
  • Project Delivery
  • PySpark
  • PyTorch
  • SQL
  • Software Design
  • Statistics
  • Training
  • Version Control
  • Writing
  • XGBoost

Summary

Data Scientist/Machine Learning Engineer (Python, NLP, AWS)

Pittsburgh, PA

Overview / Summary
We are seeking a Machine Learning Engineer with strong expertise in Python, statistics, and machine learning lifecycle management. The role involves designing, developing, and deploying ML and deep learning models to solve business problems, while collaborating with cross-functional teams to deliver impactful solutions.

Key Responsibilities

  • Comprehend business issues and propose valuable solutions
  • Design factual, AI, and deep learning models to address business challenges
  • Develop, train, and deploy statistical, machine learning, and deep learning models for production
  • Identify available data sources and determine how to augment data effectively
  • Develop innovative data visualizations using tools like d3.js and Dash/Plotly
  • Map business needs to processes and conceptualize end-to-end solutions
  • Collaborate with team members in an agile project delivery environment

Required Qualifications

  • Strong proficiency in Python programming and ML lifecycle
  • Practical experience in statistics and operations research methods
  • Hands-on experience with frameworks/tools such as Flask, PySpark, PyTorch, and Streamlit
  • Experience with AWS AI/ML services such as SageMaker, Canvas, and Bedrock
  • Understanding of predictive modeling techniques including regression, XGBoost, random forest, GBM, neural networks, and SVM
  • Proficiency in NLP techniques including RNN, LSTM, and attention-based models
  • Experience working with NLP models from Stanford, IBM, Azure, or OpenAI
  • Strong SQL skills for writing efficient data queries
  • Experience with version control tools such as GitHub or Bitbucket
  • Hands-on experience in model training and deployment
  • Experience working in agile environments
  • Strong analytical, problem-solving, and communication skills
  • Ability to understand, articulate, and visualize business requirements
  • Strong interpersonal skills and ability to work collaboratively in a team
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91139932
  • Position Id: 8945040
  • Posted 16 hours ago
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