Senior Data Science Engineer
4 days ago
We are seeking a highly skilled Senior Machine Learning Engineer to join our team and lead the development of AI/ML software products and solutions. The ideal candidate will have a strong background in machine learning, software engineering, and cloud technologies, with a proven track record of designing, developing, and deploying large-scale data infrastructure and AI/ML solutions.
Responsibilities:
- Design and develop scalable data pipelines using various technologies and tools.
- Build and implement AI/ML solutions by exploring large datasets, performing feature engineering, and creating data pipelines.
- Ensure that solutions are well-designed, maintainable, and future-proof in a production environment.
- Contribute to architectural decisions and technical roadmap planning, writing scalable and maintainable code.
- Develop solutions for common needs in AI/ML projects such as feature reuse, model traceability, monitoring, A/B testing, versioning, and serving both online and batch inference endpoints.
- Collaborate with a cross-functional team of engineers, data scientists, and business stakeholders to build an AI ecosystem.
- Ensure product quality, cybersecurity, and performance requirements are met throughout the development lifecycle.
Requirements:
- A Bachelor's or Master's degree in Computer Science, Machine Learning, or a related technical field, or equivalent practical experience.
- At least 5 years of professional experience in a senior-level Machine Learning Engineer role, preferably in supply chain and demand forecasting domains.
- Strong software engineering skills with hands-on experience in coding and applying software engineering practices, including DevOps, testing, and Site Reliability Engineering (SRE) principles to machine learning and AI projects.
- Proven experience in developing and deploying software products to production and scaling them within a large organization.
- Extensive experience with Python programming (4+ years), especially in developing backend services, and familiarity with frameworks like FastAPI.
- Hands-on experience with cloud technologies for ML development, particularly Google Cloud Platform, including Vertex AI.
- Solid experience in MLOps, building ML pipelines, data pipelines, and deploying machine learning models to production.
- A strong foundational background in data science and practical experience with a variety of AI/ML techniques and frameworks.
- Experience in handling high-volume heterogeneous data (batch and stream), including hands-on development with SQL and DBT.
- Strong understanding of cloud data storage technologies and data quality management.
- Proven ability to analyze and align requirements, drive solution design, break down tasks, and communicate effectively with stakeholders.
- Experience working in agile environments, fostering collaboration, and supporting team members to adhere to organizational standards and best practices.
About Us:
Rasulson Consulting AB is a specialized staffing and recruitment firm focused on the IT sector. We collaborate with leading tech companies and innovative startups to provide exciting career opportunities for individuals passionate about digital development.
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