Data Analyst - GenAI
- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or related field.
- Minimum 5+ years of experience in data science/analyst roles,
- Proven track record of delivering machine learning and AI models in production environments.
- Strong proficiency in Python or R, and experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
- Hands-on experience with Gen AI, LLMs, and related frameworks (e.g., Hugging Face, LangChain).
- Expertise in Big Data technologies such as Apache Spark, Hadoop, Kafka, and distributed computing.
- Strong SQL skills and familiarity with data lake/warehouse architectures.
- Experience with cloud platforms and containerization.
- Solid understanding of data modeling, feature engineering, and model evaluation techniques.
- Knowledge of MLOps practices and tools for CI/CD in ML workflows.
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