Qualifications and Experience required
5-8 years of experience as a Data Scientist with expertise in machine learning and AI technologies.
- Proficient in Python and experience with deep learning frameworks such as TensorFlow.
- Hands-on experience with machine learning algorithms, including gradient boosting, deep learning, and random forests.
- Expertise in working with Large Language Models and Transformer-based architectures (e.g., BERT, GPT, etc.).
- Experience with distributed computing frameworks like Hadoop or Spark.
- Proven experience mentoring and leading junior data scientists.
- Knowledge of cloud platforms such as AWS, Azure, or Google Cloud.
Main Responsibilities will include The responsibilities will include, but are not limited to, the following key deliverables:
- Lead the design and development of advanced AI and machine learning models to solve complex business challenges.
- Work closely with data scientists and engineers to ensure smooth integration and deployment of AI solutions.
- Analyze large datasets to uncover trends and build predictive models.
- Mentor and guide junior data scientists, promoting best practices in AI and machine learning.
- Build and refine AI features to support business strategies and growth.
Advantageous: - Experience with Microsoft SQL and the Microsoft BI technology stack (SSIS, SSAS, SSRS, Power BI).
- Exposure to financial services, legal industries, or business analytics.
- Strong knowledge of data warehousing, ETL processes, and advanced data analysis.