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.
 
Please click on this link to submit your application: