Job Description
A high-performing Artificial Intelligence (AI) and Machine Learning (ML) Engineer is required to help bring AI / ML solutions into production, automate processes, and define reusable best practices and accelerators.
The ideal candidate will become part of a Data Science and AI Competency Center working in an AI Engineering team. The key responsibilities include :
- Designing, developing, and deploying high-quality, scalable, enterprise-grade ML / AI applications in cloud environments.
- Collaborating with Data Science, Data Engineering, and Cloud teams to implement machine learning models into production.
- Implementing practical and innovative ML / AI automation, focusing on scale and efficiency.
- Designing, delivering, and managing industrialized processing pipelines.
- Defining and implementing best practices in ML models life cycle and ML operations.
- Implementing AI / MLOps frameworks and supporting Data Science teams in best practices.
- Gathering and applying knowledge on modern techniques, tools, and frameworks in the area of ML Architecture and Operations.
- Identifying technical requirements, estimating planned work, and gathering knowledge on ML architectures.
- Presenting solutions, concepts, and results to internal and external clients.
- Serving as a Technical Leader on ML projects, defining tasks, guidelines, and evaluating results.
- Creating comprehensive technical documentation.
- Supporting and growing junior engineers.
Required Skills and Qualifications
The following skills are mandatory for this position :
Good understanding of AI / ML concepts, including types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, and AI architectures.Good understanding of cloud concepts and architectures, as well as working knowledge with selected cloud services, preferably Google Cloud Platform (GCP).Experience in programming ML algorithms and data processing pipelines using Python.At least 6-8 years of experience in production-ready code development.Experience in designing and implementing data pipelines.Practical experience with implementing ML solutions on GCP Vertex.AI and / or Databricks.Excellent communication skills.Ability to work in a team and support others.Taking responsibility for tasks and deliverables.Great problem-solving skills and critical thinking.Fluency in written and spoken English.Benefits
This role offers a stable employment opportunity, full-time position, 100% remote work, flexibility regarding working hours, comprehensive online onboarding program, cooperation with top-tier engineers and experts, unlimited access to the Udemy learning platform, certificate training programs, upskilling support, diverse and inclusive community, autonomy to choose the way you work, create opportunities together, activities to support your well-being and health, plenty of opportunities to donate to charities and support the environment.