Python/Gen AI Developer

Roles And Responsibilities

• Develop and implement advanced machine learning models to solve complex business problems.
• Utilize Azure Machine Learning and Azure Open AI Service to enhance data processing and model deployment.
• Apply artificial intelligence techniques to improve decision-making processes.
• Conduct natural language processing to extract insights from unstructured data.
• Write efficient Python code to support machine learning and AI projects.
• Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions.
• Analyze large datasets to identify patterns and trends that can inform business strategies.
• Provide technical guidance and mentorship to junior data scientists.
• Ensure the scalability and reliability of machine learning models in production environments.
• Stay updated with the latest advancements in machine learning and AI technologies.
• Communicate findings and recommendations to stakeholders through clear and concise reports.
• Contribute to the continuous improvement of data science practices and methodologies.
• Support the development of data-driven products and services that align with the company’s goals.

Qualifications

• Possess a strong background in Azure Machine Learning, Azure Open AI Service, Machine Learning, Artificial Intelligence, Natural Language Processing, and Python.
• Demonstrate experience in Investment Banking Operations and Investment Banking & Brokerage is a plus.
• Exhibit excellent problem-solving skills and the ability to work independently.
• Showcase strong communication skills to effectively convey technical concepts to non-technical stakeholders.
• Have a proven track record of successfully deploying machine learning models in production environments.
• Display a commitment to continuous learning and staying current with industry trends.
• Show proficiency in data analysis and statistical methods.
• Demonstrate the ability to work collaboratively in a hybrid work model.
• Possess strong organizational skills and attention to detail.
• Exhibit the ability to mentor and guide junior team members.
• Show experience in developing data-driven solutions that drive business value.
• Demonstrate the ability to manage multiple projects and meet deadlines.
• Possess a passion for leveraging data to make a positive impact on the company’s objectives.