Job Description

Role Purpose

The purpose of the role is to define, architect and lead delivery of machine learning and AI solutions

͏

Responsibilities:

As a Data Scientist, you will play a crucial role in analyzing complex data using statistical and machine learning models, providing valuable insights, and driving data-driven decision-making processes
Analyze complex data using statistical and machine learning models to derive actionable insights
Utilize Python for data analysis, visualization, and working with APIs, Linux OS, databases, big data technologies, and cloud services
Develop innovative solutions for natural language processing and generative modeling tasks using NLP, Generative AI, and LLMs
Collaborate with cross-functional teams to understand business requirements and translate them into data science solutions
Work in an Agile framework, participating in sprint planning, daily stand-ups, and retrospectives
Collaborate with cross-functional teams to understand business needs and translate them into analytical solutions.
Research, develop and analyze computer vision algorithms in areas related to object detection, tracking, product identification and verification, scene understanding
Ensure model robustness, model generalization, accuracy, testability, and efficiency
Write product or system development code
Design and maintain data pipelines and workflows within Azure Databricks for optimal performance and scalability.
Communicate findings and insights effectively to stakeholders reports and visualizations.

Q͏ualificatios:

A Master's degree in Data Science, Statistics, Computer Science, or a related field.

Over 5 years of proven experience in developing machine learning models, particularly for time series data within a financial context.
Advanced programming skills in Python or R, with extensive experience in libraries such as Pandas, NumPy, and Scikit-learn.
Comprehensive knowledge of AI and LLM technologies, with a track record of developing applications and models.
Proficiency in data visualization tools, such as Tableau, Power BI, or similar platforms.
Exceptional analytical and problem-solving abilities, coupled with meticulous attention to detail.
Superior communication skills, enabling the clear and concise presentation of complex findings.
Extensive experience in Azure Databricks for data processing, model training, and deployment.
Proficiency with Azure Data Lake and Azure SQL Database for data storage and management.
Experience with Azure Machine Learning for model deployment and monitoring.
In-depth understanding of Azure services and tools for data integration and orchestration.

͏

Deliver 

͏

Competencies