Headway Tek Inc
Machine Learning Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Senior Machine Learning Engineer in Chicago, IL (hybrid) for 6+ months, offering a competitive pay rate. Required skills include extensive experience with time series forecasting, model deployment, Python, SQL, and cloud platforms (AWS, GCP, Azure).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 31, 2025
🕒 - Duration
More than 6 months
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Chicago, IL
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🧠 - Skills detailed
#Deployment #Computer Science #AWS (Amazon Web Services) #TensorFlow #Data Manipulation #Airflow #Docker #Python #Forecasting #Libraries #Data Science #PyTorch #MLflow #ML (Machine Learning) #SQL (Structured Query Language) #Spark (Apache Spark) #Cloud #GCP (Google Cloud Platform) #Pandas #Time Series #Azure #Mathematics #Flask #Statistics #FastAPI
Role description
Title : Senior Machine Learning Engineer
Location : Chicago, IL (hybrid)
Duration : 6+ Months
Qualifications Required:
· Extensive hands-on experience in univariate and multivariate time series forecasting models, ideally experience with models such as LGBM, Prophet, or similar.
· Deployment experience, including taking forecasting models into production.
· Proper vetting prior to scheduling interviews with our team to ensure alignment with these expectations.
· Master’s plus degree in Computer Science, Statistics, Applied Mathematics, or a related field.
· 5+ years of experience in data science and machine learning, with a proven track record of delivering models to production.
· Proficiency in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.
· Strong understanding of statistical modeling, machine learning algorithms, and experiment design.
· Solid experience with SQL and data manipulation tools (e.g., Pandas, Spark, or Dask).
· Experience deploying models using APIs (Flask, FastAPI), Docker, and orchestration tools (e.g., Airflow, Kubeflow, MLflow).
· Hands-on experience with cloud platforms (AWS, GCP, or Azure) and model serving tools.
· Excellent problem-solving and communication skills; able to explain complex concepts clearly and effectively.
Title : Senior Machine Learning Engineer
Location : Chicago, IL (hybrid)
Duration : 6+ Months
Qualifications Required:
· Extensive hands-on experience in univariate and multivariate time series forecasting models, ideally experience with models such as LGBM, Prophet, or similar.
· Deployment experience, including taking forecasting models into production.
· Proper vetting prior to scheduling interviews with our team to ensure alignment with these expectations.
· Master’s plus degree in Computer Science, Statistics, Applied Mathematics, or a related field.
· 5+ years of experience in data science and machine learning, with a proven track record of delivering models to production.
· Proficiency in Python and ML libraries such as scikit-learn, XGBoost, LightGBM, PyTorch, or TensorFlow.
· Strong understanding of statistical modeling, machine learning algorithms, and experiment design.
· Solid experience with SQL and data manipulation tools (e.g., Pandas, Spark, or Dask).
· Experience deploying models using APIs (Flask, FastAPI), Docker, and orchestration tools (e.g., Airflow, Kubeflow, MLflow).
· Hands-on experience with cloud platforms (AWS, GCP, or Azure) and model serving tools.
· Excellent problem-solving and communication skills; able to explain complex concepts clearly and effectively.
