Generative AI Data Engineering

Role Overview: As a Machine Learning Engineer / Data Scientist at our company, your role as a Team Manager involves managing client expectations and collaborating with stakeholders to meet customer requirements effectively. Key Responsibilities: - Develop machine learning models to support recommendation systems and NLP projects. - Provide actionable insights for product and service optimization. - Build and maintain scalable ETL pipelines and optimize data storage solutions (data lakes, columnar formats). - Ensure data accuracy and reliability for analytics. - Analyze complex datasets to uncover trends and patterns. - Generate and present insights that drive strategic decisions and enhance client services. - Work with product and service teams to understand data needs and translate them into technical solutions. Qualifications Required: - Proficiency in Python (Pandas, NumPy), SQL, and Java. - Experience with LLMs, LangChain, and Generative AI technologies. - Familiarity with ML frameworks (TensorFlow, PyTorch) and data engineering tools (Spark, Kafka). - Strong data analysis skills and ability to present findings to both technical and non-technical stakeholders. - Proficient understanding of data engineering concepts, including data lakes, columnar formats, ETL tools, and BI tools. - Knowledge in Machine Learning, NLP, Recommender Systems, Personalization, Segmentation, Microservices Architecture, and API Development. - Ability to adapt quickly to a fast-paced, dynamic environment and learn new technologies. (Note: Additional details of the company were not provided in the job description.),