- Strategic Collaboration: Engage closely with product and business teams to understand the challenges and opportunities in the GenAI field, aligning data science projects with organizational goals.
- Metric Definition: Establish key performance metrics that reflect the value delivered to users through GenAI solutions.
- Intelligent System Design: Utilize expertise in machine learning, statistics, and mathematics to develop intelligent systems powered by GenAI.
- Big Data Processing: Create efficient systems for processing large data volumes, demonstrating proficiency in frameworks like Hadoop and Spark.
- ML/AI Architecture: Collaborate with ML Engineers to design scalable systems and model architectures for real-time ML/AI services.
- End-to-End ML Pipelines: Manage ML pipelines from data pre-processing to feedback sharing.
- A degree in Computer Science, Statistics, Mathematics, or related field, with at least 10 years of relevant experience.
- Strong problem-solving and programming skills, along with a deep understanding of mathematical concepts behind machine learning algorithms.
- Demonstrated success in deploying ML projects in production systems.
- Experience in natural language processing, prompt engineering, LLMs, transformers, and knowledge graphs is a plus.
- Proficiency in time series analysis, NLP, Distributed Systems, and Big Data technologies like Spark is advantageous.
- Background in areas such as NLP, statistical ML techniques, graph algorithms, deep learning, and database systems.
- Knowledge of database systems, SQL and NoSQL databases.
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