- 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:
- Design, deliver and scale GenAI solutions
- Practical and innovative implementations of LLM/ML/AI automation, for scale and efficiency
- Working with Data Science teams to implement AI Agents and Machine Learning models into production
- Design, delivery and management of industrialized processing pipelines
- 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
- Defining and implementing best practices in ML models life cycle and ML operations/LLM operations
- Gathering technical requirements & estimating planned work
- Presenting solutions, concepts and results to internal and external clients
- Creating technical documentation
- At least 4+ years of Data engineering experience with last 1 year-experience in building Data processing
- At least 4+ years of experience in production-ready Python code development (e.g., microservices, APIs, etc.)
- At least 1+ years of experience with GenAI (various LLM models, agents, RAGs, prompt engineering, MCP, specification-driven-development)
- At least 2+ years of experience in production-ready ML-related code development
- Additionally for all levels:
- 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 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 with LangGraph, FastAPI, CosmoDB, Redis, SpyGlass, Kubernetes
- Experience in designing, programming ML algorithms, and data processing pipelines using Python
- Experience in at least one of following domains: Data Warehouse, Data Lake, Data Integration, Data Governance, Machine Learning, Deep Learning, MLOps
- Practical experience in MLOps/LLMOps tools like AzureML/AzureAI (or GCP equivalents)
- Practical experience with Databricks
- Practical experience in Spark/PySpark and Hive within Big Data Platforms like Databricks, EMR or similar
- 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.
Top Skills
What We Do
You’ve got the data — now what’s next?
Many businesses are overwhelmed by data and struggle to turn it into real business impact. At Lingaro, we empower global brands and companies to achieve more with data.
From strategy development to scalable solutions, we guide you every step of the way. We transform raw data into actionable insights with deep tech expertise, sharp business sense, and a user-centric mindset.
Rooted in Europe and operating worldwide, we deliver with agility, a fresh perspective, and a proven track record. Join 75+ leading CPG companies across 30+ countries that have already transformed their business with Lingaro.
Be data ready. Be business ready. Be future ready.
Contact us at https://lingarogroup.com/contact_us to get started.
Want to know more? Check our recognitions & awards below.
🏆 Positioned as a Leader in ISG Provider Lens™ 2025 – Generative AI Services in Strategy & Consulting and Development & Deployment
🏆 Identified as a Leader in ISG Provider Lens™ 2025 – Specialty Analytics Services in Supply Chain and Retail & CPG
🏆 Strong Performer in the Gartner® Peer Insights™ 2022 and 2024 "Voice of the Customer" reports
🏆 Major Contender in the Everest Group® 2024 Analytics and AI Services Specialists PEAK Matrix® Assessment
🏆 Listee in the Gartner® 2024 Guide to Service Providers for GenAI Initiatives
🏆 Great Place to Work® in Poland, the Philippines, and India in 2024
