Senior Machine Learning Engineer

As a Senior Machine Learning Engineer, you will: • Design, develop, and deploy machine learning solutions to solve complex business problems. • Build scalable data processing and analytics solutions using Python and SQL. • Develop statistical and machine learning models to support predictive analytics and data-driven decision-making. • Analyze, clean, and transform structured and unstructured datasets for model development. • Work with cloud-based analytics and machine learning platforms, including Azure Machine Learning Studio, Azure Databricks, AWS, and Google Cloud Platform (GCP). • Collaborate with cross-functional teams to understand business requirements and translate them into scalable AI and data science solutions. • Optimize model performance through feature engineering, model evaluation, and continuous improvement. • Develop reusable data science workflows and maintain high standards for code quality and documentation. • Support deployment, monitoring, and maintenance of machine learning solutions in cloud environments. • Stay updated with emerging technologies and best practices in machine learning, cloud computing, and data engineering. What You Bring to the Table: • 8–10 years of professional experience in Python development, Data Science, Machine Learning, or Analytics Engineering. • Strong programming expertise in Python with hands-on experience using Scikit-learn, Pandas, NumPy, Matplotlib, statsmodels, and related data science libraries. • Working knowledge of R for statistical computing and data analysis. • Strong SQL skills with experience working on enterprise data platforms such as Teradata and BigQuery. • Solid understanding of machine learning algorithms, model training, validation, and evaluation techniques. • Experience in statistical analysis, predictive modeling, and data exploration. • Familiarity with cloud-based analytics and machine learning platforms, including Azure Machine Learning Studio, Azure Databricks, Google Cloud Platform (GCP), and Amazon Web Services (AWS). • Experience working with large datasets and designing scalable analytics solutions. • Strong analytical, problem-solving, and communication skills. • Ability to quickly learn new technologies and adapt to evolving business requirements. You Should Possess the Ability to: • Design and implement end-to-end machine learning solutions. • Develop scalable data processing pipelines and analytical models. • Apply statistical techniques to extract meaningful business insights. • Build, evaluate, and optimize machine learning models using industry best practices. • Work with cloud-native machine learning and analytics platforms. • Analyze large and complex datasets using SQL and Python. • Collaborate effectively with data engineers, analysts, architects, and business stakeholders. • Troubleshoot technical issues and optimize model performance. • Communicate technical concepts clearly to both technical and non-technical audiences. • Deliver high-quality solutions while maintaining a strong focus on accuracy, scalability, and continuous improvement. What We Bring to the Table: • Opportunity to work on enterprise-scale data science and machine learning initiatives. • Exposure to modern cloud platforms, advanced analytics, and AI technologies. • A collaborative environment focused on innovation, continuous learning, and technical excellence. • Opportunities to work with experienced engineers, data scientists, and cloud architects. • Challenging projects involving Python, cloud-native machine learning, statistical modeling, and enterprise analytics. • A culture that encourages ownership, knowledge sharing, and professional growth. • Continuous opportunities to enhance expertise in cloud computing, machine learning, and advanced data engineering. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter : Giftson Paul Davidson Phone : +31 20 369 0609 ; Extn : 151 E-mail : giftson.p@stafide.nl LinkedIn : https://www.linkedin.com/in/giftsonpauldavidson/