Responsibilities:
- Define the technical strategy and roadmap for data infrastructure evolution.
- Architect, implement, and maintain reliable and efficient platforms for data processing and analytics.
- Enhance model training and deployment workflows using MLOps/LLMOps practices.
- Lead and execute data platform projects, from initial design through to production.
Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in developing data infrastructure or constructing platforms.
- Proficiency in big data technologies, such as Hadoop, Spark, Flink, Hive, and Kafka.
- Strong programming skills in languages such as Java, Python, and SQL.
- Demonstrated ability to collaborate effectively and build strong relationships across teams.
- Experience with DevOps and Agile methodologies.
- Excellent analytical and problem-solving skills with a focus on automation.
- Knowledge of machine learning and data science workflows.
- Self-motivated, quick learner with a strong sense of ownership and accountability.
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