Senior Machine Learning / AI Engineer

You will design, develop, and deploy scalable machine learning and AI solutions. ResponsibilitiesDesign and develop scalable machine learning and AI solutions using large datasets.Implement and deploy advanced ML models, including deep learning and LLMs, into production.Manage the full lifecycle of ML solutions on cloud platforms.Perform data preprocessing, feature engineering, model training, and evaluation on large-scale datasets.Required Skills5+ years of hands-on experience in machine learning or AI engineering with production deployment success.Expert proficiency in Python programming.Demonstrated expertise with deep learning frameworks like TensorFlow and PyTorch.Practical experience working with LLMs and NLP technologies.Experience developing and deploying ML solutions on cloud platforms (AWS, Google Cloud, Azure).Proficiency with ML libraries including Scikit-learn, Keras, and Hugging Face.Experience with ML workflow tools like MLflow and Airflow. You will design, develop, and deploy scalable machine learning and AI solutions. ResponsibilitiesDesign and develop scalable machine learning and AI solutions using large datasets.Implement and deploy advanced ML models, including deep learning and LLMs, into production.Manage the full lifecycle of ML solutions on cloud platforms.Perform data preprocessing, feature engineering, model training, and evaluation on large-scale datasets.Required Skills5+ years of hands-on experience in machine learning or AI engineering with production deployment success.Expert proficiency in Python programming.Demonstrated expertise with deep learning frameworks like TensorFlow and PyTorch.Practical experience working with LLMs and NLP technologies.Experience developing and deploying ML solutions on cloud platforms (AWS, Google Cloud, Azure).Proficiency with ML libraries including Scikit-learn, Keras, and Hugging Face.Experience with ML workflow tools like MLflow and Airflow.