Hiring: Machine Learning Engineer (Python or R) Company: ATC Location: Texas, United States Job Posted Time: 2026-09-16 15:14:41 Target Skills & Keywords : AWS, Agile, Airflow, Azure, CI/CD, Computer Vision, Databricks, Docker, GCP, Git, Kubeflow, MLOps, MLflow, Machine Learning, NLP, PyTorch, Python, SQL, SageMaker, Spark, TensorFlow, scikit-learn About the job Experience: •3+ years of experience in Machine Learning, Data Science, or Software Development. Required Skills: •● Develop, train, and deploy machine learning models using Python or R. •● Work with structured and unstructured data to build predictive and analytical solutions. •● Perform data preprocessing, feature engineering, model selection, and hyperparameter tuning. •● Evaluate model performance using appropriate metrics and validation techniques. •● Build and maintain ML pipelines for training, testing, and inference. •● Collaborate with data engineers and software teams to integrate models into applications and workflows. •● Develop APIs or services to expose machine learning models for production use. •● Monitor model performance in production and retrain models as needed. Qualifications: •● Master’s degree in Computer Science, Data Science, Statistics, Mathematics, Engineering, or a related field. •● 3+ years of experience in Machine Learning, Data Science, or Software Development. •● Strong programming skills in Python or R. •● Hands-on experience with machine learning libraries such as Scikit-learn, TensorFlow, PyTorch, caret, tidymodels, or similar tools. •● Solid understanding of supervised and unsupervised learning techniques. •● Knowledge of SQL and working with relational or non-relational databases. •● Familiarity with Git, Docker, and CI/CD workflows. •● Strong analytical, problem-solving, and communication skills. •● Familiarity with MLOps tools such as MLflow, Kubeflow, Airflow, or SageMaker. •● Knowledge of NLP, computer vision, time series forecasting, or recommendation systems. Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don't miss this opportunity to join a forward-thinking team!