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AI ML Engineer
1 tydzień temu
Responsibilities:
- 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 4+ years of Data engineering experience with last 1 years 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 (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
- Fluency in written and spoken English
- Good communication skills and ability to work in a team and support others
- Taking responsibility for tasks and deliverables and great problem-solving skills and critical thinking
- At least 2+ years of experience in production-ready ML-related code development
Nice to have:
- 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
Offer:
- Private medical care
- Sports card
- Life insurance
- Training & learning opportunities
- Legimi membership
