Newly created team in a reputable Financial Services with global operations.
📍Responsabilities
Develop analytical and scientific solutions to address business challenges by delivering timely, accurate, and actionable insights
Develop and implement generative AI models to address real-world challenges across various domains, including natural language processing, image, video and voice generation.
Conduct research on emerging generative AI techniques and algorithms
Collaborate with cross-functional teams to design and deploy AI solution
Mostly with software developers and Data Scientist to deploy analytical models into production.
Support the implementation of various AI applications on cloud platforms, such as app analytics, CRM modeling, and campaign system management.
💼Requirements
5 to 8 years of solid experience in Data Science and/or AI engineering.
Experience in ML modeling techniques, supervised/unsupervised learning, deep learning frameworks, and generative AI, and NLP
Experience in using LLMs such as
Lang Chain, Hugging Face, ML models, GPT, etc
Proficiency in key machine learning and big data cloud platforms, such as Microsoft Azure ML Services & Data Warehouse, AWS SageMaker & Redshift, Google ML, and BigQuery, etc.
Familiarity with common data science languages and toolkits, including Python, SQL, R, Scala, Apache Spark, Keras, etc., to manipulate and analyze large datasets is desirable.
Familiar with multiple data architectures and data visualization BI tools, such as Tableau,
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