Senior Machine Learning Engineer, Generative AI Applications
FTE: 1
Duration: 6 months
Working hours: 8 hours with so-called overlap from 16:00 -20:00 CET.
Experience: senior
English: B2/C1/C2
Remote work: YES
Recruitment process: Technical verification (1h) and Meeting with future manager
Position Description
As a Machine Learning Engineer, you will collaborate with data scientists, product managers, and data engineers to operationalize machine learning models in production and manage the lifecycle of artificial intelligence algorithms on a variety of domains. You will develop and deploy novel approaches to optimize existing machine learning systems to maximize their business value.
Duties and Responsibilities:
- Architect, build, maintain, and improve new and existing suite of algorithms and their underlying systems.
- Automate machine learning pipelines and monitor and optimize machine learning solutions.
- Implement end-to-end solutions for batch and real-time algorithms along with requisite tooling around monitoring, logging, automated testing, performance tuning, and A/B testing.
- Use your entrepreneurial spirit to identify new opportunities to optimize business processes, improve consumer experiences, and prototype solutions to demonstrate value.
- Work closely with data scientists and analysts to create and deploy new product features online and in mobile apps.
- Establish scalable, efficient, automated processes for data analyses, model development, validation and implementation.
- Write efficient and well-organized software to ship products in an iterative, continual-release environment.
- Contribute to and promote good software engineering practices across the team.
- Mentor and educate team members to adopt best practices in writing and maintaining production machine learning code.
- Actively contribute to and re-use community best practices.
- Monitor, debug, track, and resolve production issues.
- Work with project managers to ensure that projects proceed on time and on budget.
- Collaborate with Technical Product Managers to ensure proper tracking of algorithmic performance KPIs and prioritize performance improvements based on effort and impact. Complete other responsibilities as assigned.
Basic Qualifications
- Minimum of seven years’ post-secondary education or relevant work experience
Other Required Qualifications:
- Minimum of seven years’ post-secondary education or relevant work experience Bachelor's degree in mathematics, physics, computer science, engineering, statistics, or an equivalent technical discipline.
- Minimum of five years’ software development experience with Python and SQL.
- Minimum of three years’ experience in developing and deploying machine learning systems into production in a cloud environment.
- Minimum of two years’ experience testing, maintaining, or launching software products and minimum of one year of experience with software design and architecture.
- Experience working with a variety of relational SQL and NoSQL databases, big data tools: Hadoop, Spark, Kafka; a Linux environment; and at least one cloud provider solution (AWS, GCP, Azure).
- Knowledge of data pipeline and workflow management tools.
- Expertise in standard software engineering methodology, e.g., unit testing, test automation, continuous integration, code reviews, design documentation.
Other Preferred Qualifications:
- Experience with neural networks, deep learning, and reinforcement learning, using frameworks such as TensorFlow.
- Experience with Natural Language Processing (NLP), Large Language Models (LLMs), and/or Recommendation Engines.
- Relevant working experience with Docker and Kubernetes.