Senior Machine Learning Engineer (ID: 3989)
Key Skills
Job Description
- 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.
- 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.
- 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.
- 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.
Core Responsibilities
Design, develop, and deploy scalable machine learning solutions to solve complex business problems. Collaborate with cross-functional teams to translate business requirements into effective AI and data science models.
Requirements
Requires 8-10 years of professional experience in Python development, data science, or machine learning. Candidates must possess strong programming expertise in data science libraries and experience with cloud-based analytics platforms.
Benefits
- Professional growth
- Collaborative environment
- Innovation-focused culture
- Knowledge sharing
About STAFIDE
Industry: Staffing and Recruiting
Company size: 11-50 employees
Headquartered in the Netherlands, STAFIDE specializes in Niche Tech Recruitment across Europe, connecting top talent with outstanding opportunities in the IT sector. Our data-driven recruitment model ensures the ideal match between candidates and employers, enhancing both skill alignment and cultural fit. With a strong focus on Skill-Based Hiring, we provide candidates with an in-depth understanding of the organization—whether for permanent positions or temporary assignments (interim opdrachten) like secondment (detachering)—strengthening employer branding for our clients as a recruitment company (uitzendbureau). In today’s fast-evolving tech landscape, we recognize the unique challenges companies face in sourcing highly skilled talent. Our advanced, AI-driven talent intelligence system (ATS) is specifically designed to prioritize Skill-Based Hiring for niche IT roles, empowering organizations to address talent shortages by identifying professionals with the expertise to drive innovation and growth. Whether you’re a company in search of exceptional talent or a professional seeking your next ICT role, STAFIDE is your strategic recruitment (werving en selectie) partner. Our deep expertise in the Dutch market, combined with a steadfast commitment to excellence, makes us the preferred choice for all your recruitment needs.