Data Pipeline and Machine Learning Model Architect
hace 7 días
At NEORIS, we are a Digital accelerator that has been helping companies enter the future for 20 years. As one of the largest Digital Partners in the world, we have over 4,000 professionals across 11 countries, fostering an innovative and multicultural startup culture where we continually learn and grow to deliver high-value solutions for our clients.
We are seeking a seasoned Data Pipeline and Machine Learning Model Architect to join our team. This role offers a unique opportunity to design and develop scalable data pipelines and machine learning models that drive business growth.
Key Responsibilities:
- Design and implement efficient data pipelines that integrate with various data sources.
- Develop and deploy machine learning models using Python and other relevant technologies.
- Collaborate with cross-functional teams to ensure seamless integration of models into production applications.
- Monitor and optimize model performance to maintain high accuracy and efficiency.
- Ensure data quality and security through rigorous testing and validation processes.
Requirements:
- 4+ years of experience in Python development.
- 2+ years of experience in SQL database management.
- 3+ years of experience in web services development (preferably Azure).
- Familiarity with containerization tools like Docker and Kubernetes.
- Experience with Git version control systems.
- Intermediate English language proficiency (B2 level).
Desirable Skills:
- Experience with big data systems (Spark, Hadoop).
- Familiarity with Gen-AI, LLMs, RAG, vector databases, and prompt engineering.
Benefits:
- Competitive salary: $120,000 - $180,000 per annum, depending on location.
- Comprehensive benefits package including statutory major benefits, personal growth opportunities, and attractive benefits plan.
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