AI/ML Engineer

AI/ML Engineer

AI/ML Engineer – Senior Consultant

AI Engineering Group is part of Data Science & AI Competency Center and is focusing technical and engineering aspects of DS/ML/AI solutions. We are looking for experienced AI/ML Engineers to join our team to help us bring AI/ML solutions into production, automate processes, and define reusable best practices and accelerators.

Duties description:

The person we are looking for will become part of DataScience and AI Competency Center working in AI Engineering team. The key duties are:

- Building high-performing, scalable, enterprise-grade ML/AI applications in cloud environment
- Working with Data Science, Data Engineering and Cloud teams to implement Machine Learning 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
- Being Technical Leader on ML projects, defining task, guidelines and evaluating results
- Creating technical documentation
- Supporting and growing junior engineers

Must have skills:

- Good understanding of ML/AI concepts: types of algorithms, machine learning frameworks, model efficiency metrics, model life-cycle, AI architectures






- Good understanding of Cloud concepts and architectures as well as working knowledge with selected cloud services, preferably 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
- Good communication skills
- Ability to work in team and support others
- Taking responsibility for tasks and deliverables
- Great problem-solving skills and critical thinking
- Fluency in written and spoken English.

Nice to have skills & knowledge:

- Practical experience with other programming languages: PySpark, Scala, R, Java
- Practical experience with tools like AirFlow, ADF or Kubeflow






- Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab or Azure DevOps)
- Experience in applying and/or defining software engineering best practices
- Experience productization ML solutions using technologies like Docker/Kubernetes

We Offer:

Stable employment. On the market since 2008, 1300+ talents currently on board in 7 global sites.

100% remote.

Flexibility regarding working hours.

Full-time position

Comprehensive online onboarding program with a “Buddy” from day 1.

Cooperation with top-tier engineers and experts.

Internal Gallup Certified Strengths Coach to support your growth.

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+ training 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.

Application Link: