ML AI Engineer
1 dzień temu
Responsibilities:
- Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment.
- Working with Data Science teams to implement Machine Learning and statistical models into production.
- Practical and innovative implementations of ML/AI automation, for scale and efficiency.
- Design, delivery and management of 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.
- Gathering technical requirements & estimating planned work.
- Presenting solutions, concepts and results to internal and external clients.
- Creating technical documentation.
Expectations:
- At least 5 years of experience in a similar position.
- Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life cycle, AI architectures.
- Practical experience in MLOps tools like MLFlow, Azure ML and/or Databricks.
- Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably MS Azure.
- Strong experience in at least one of the following domains: Machine Learning, Deep Learning, Data Science, MLOps, GenerativeAI.
- Experience in programming ML algorithms and data processing pipelines using Python.
- At least 2 years of experience in production ready code development.
- Practical skills with scripting languages.
- Experience in designing and implementing data pipelines.
- Good 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.
- Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps) is a plus.
- Experience productization ML solutions using technologies like Spark/Databricks or Docker/Kubernetes is a plus.
What we offer:
- Stable employment. On the market since 2008, 1500+ talents currently on board in 7 global sites.
- “Office as an option” model. You can choose to work remotely or in the office.
- Great Place to Work® certified employer.
- Flexibility regarding working hours and your preferred form of contract.
- Comprehensive online onboarding program with a “Buddy” from day 1.
- Cooperation with top-tier engineers and experts.
- Unlimited access to the Udemy learning platform from day 1.
- Certificate training programs. Lingarians earn 500+ technology certificates yearly.
- Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+trainings, opportunities yearly.
- Grow as we grow as a company. 76% of our managers are internal promotions.
- A diverse, inclusive, and values-driven community.
- Autonomy to choose the way you work. We trust your ideas.
- Create our community together. Refer your friends to receive bonuses.
- Activities to support your well-being and health.
- Plenty of opportunities to donate to charities and support the environment.
- Modern office equipment.
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