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

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

Overview / Summary
We are seeking a Machine Learning Engineer with strong expertise in Python, statistics, and machine learning lifecycle management to work with the team in a hybrid (onsite/remote work from home) weekly schedule in Pittsburg, PA . 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

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