Senior AI/ML Engineer
SQUARE ONE RESOURCES sp. z o.o.
Praca zdalna
180 - 210 PLN / HOUR
Warszawa
Warszawa, mazowieckie
Zdalna
B2B
Data Engineering
Machine Learning
Python
ML Operations
GenAI
AzureML
Databricks
Spark
Big Data
Data Pipelines
Status
Hexjobs Insights
Role: Senior AI/ML Engineer. Responsibilities include implementing ML models, designing GenAI solutions, managing processing pipelines, and creating documentation. Requirements: 5+ years in data engineering, Python, ML, and GenAI experience. Remote work.
Słowa kluczowe
Data Engineering
Machine Learning
Python
ML Operations
GenAI
AzureML
Databricks
Spark
Big Data
Data Pipelines
Technologie, których używamy
O projekcie
Twój zakres obowiązków
- 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
Nasze wymagania
- 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
Wyświetlenia: 3
| Opublikowana | 17 dni temu |
| Wygasa | za 13 dni |
| Rodzaj umowy | B2B |
| Tryb pracy | Zdalna |
| Źródło |   |
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