Senior Machine Learning Engineer (ID: 3989)

**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: