Posted on: 16/12/2025
Description :
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 Data Science 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.
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