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Data scientist Python and AI​/ML consultant

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Accord Technologies Inc
Full Time position
Listed on 2026-02-16
Job specializations:
  • IT/Tech
    Machine Learning/ ML Engineer, Data Scientist, AI Engineer, Data Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 125000 USD Yearly USD 100000.00 125000.00 YEAR
Job Description & How to Apply Below
Position: Data scientist with Python and AI/ML consultant.

Overview

Title:
Data Scientist with Python and AI/ML consultant.
Location:
Alpharetta, GA (100% onsite). In-person interview required. Position type: W2 contract. We are looking for a talented Data Scientist with Python and AI/ML expertise to build predictive models, deploy machine learning solutions, and deliver advanced analytics across enterprise platforms. The role focuses on transforming data into actionable business insights using modern AI techniques.

Responsibilities
  • Develop and deploy machine learning models using Python.
  • Perform data exploration, feature engineering, and model evaluation.
  • Build AI/ML solutions for prediction, classification, NLP, and recommendation systems.
  • Work with large datasets using SQL, Pandas, Num Py, Spark.
  • Implement deep learning models using Tensor Flow / PyTorch.
  • Develop NLP pipelines using spaCy, NLTK, Hugging Face.
  • Collaborate with product and engineering teams to operationalize models (MLOps).
  • Monitor model performance and retrain as required.
  • Create dashboards and presentations for stakeholders.
  • Support experimentation and A/B testing frameworks.
Qualifications
  • Strong proficiency in Python for data science and ML.
  • Experience with Scikit-learn, Tensor Flow, PyTorch.
  • Strong knowledge of statistics, probability, and linear algebra.
  • Experience with SQL and big data tools (Spark, Hadoop).
  • Hands-on experience with NLP, computer vision, or recommendation systems.
  • Knowledge of MLOps, CI/CD for ML models.
  • Experience deploying models in cloud environments (AWS/Azure/GCP).
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