Senior ML/AI Engineer

The person we are looking for will become part of Data Science and AI Competency Center working in AI Engineering team.

Tasks:

• Working with Data Science teams to implement Machine Learning models into production 
• Design, delivery GenAI solutions  
• Practical and innovative implementations of LLM/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/LLM operations 
• Implementing AI /MLOps/LLMOps 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

Requirements:

• At least 5+ years of Data engineering experience with last 3 years experience in building Data processing  
• At least 5+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.) 
• At least 3+ years of experience in production-ready ML-related code development 
• At least 1+ years of experience with GenAI (ChatGPT, Gemini, RAGs, prompt engineering)
• Practical experience in MLOps/LLMOps tools like AzureML/AzureAI 
• Practical experience with Databricks 
• 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 Azure or GCP 
• Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps 
• Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar 
• 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. 

Nice to have skills & knowledge:  

• Experience in designing, programming ML algorithms, and data processing pipelines using Python 
• Good understanding of CI/CD and DevOps concepts, and experience in working with selected tools (preferably GitHub Actions, GitLab, or Azure DevOps) 
• Experience in productizing ML solutions using technologies like Spark/Databricks or Docker/Kubernetes.

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, depending on your location. 
• 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+ training opportunities yearly.
• Internal Gallup Certified Strengths Coach to support your growth.
• 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. Purchased for you or available to borrow, depending on your location.