Lead Data Scientist

Job Title

Lead Data Scientist (Overall 12+ years of professional experience)

Role Summary

Role Description

We are in search of a seasoned AI/ML Engineer with a robust background in Python coding and a profound understanding of machine learning, prompt engineering, and cloud-based solutions. The perfect fit for this role would be someone who has previously developed models, fine-tuned performance, amalgamated with pre-existing systems, and transitioned data science models into production. Applicants who have prior experience in devising solution architectures will be given preferential consideration.

In the role of a Senior AI/ML Engineer, you will be instrumental in the creation and implementation of state-of-the-art generative AI and machine learning technologies. Your duties will encompass the following:

• Architect and implement AI and ML models using Python, with an emphasis on precision, efficiency, and scalability.
• Work in tandem with data scientists and software engineers to conceptualize and construct data pipelines, preprocessing utilities, and feature engineering systems.
• Make use of cloud platforms, notably Azure, for the deployment and scaling of AI and ML models.
• Integrate AI and ML models seamlessly into existing software frameworks and infrastructure.
• Refine and optimize models to enhance performance and efficiency.
• Stay abreast of the latest breakthroughs in AI and ML technologies and frameworks.
• Engage effectively with diverse teams to gather requirements and translate them into technical strategies.
• Mentor and offer technical guidance to less experienced team members.

Core/Must have skills

BS or Master's in Computer Science, Computer Information Systems Engineering or Mathematics

8+ years of experience in Python programming for AI/ML development

Strong experience in Python programming for AI/ML development

Proficiency in machine learning algorithms, techniques, and frameworks

Familiarity with large language models, such as GPT or BERT, for advanced natural language processing tasks

Hands-on experience with Azure or AWS cloud platforms, including machine learning services and tools.

Excellent communication and collaboration skills to work effectively with cross-functional teams.

Good to have skills

Proficiency in prompt engineering for machine learning models

Familiarity with Databricks or Azure Machine Learning for scalable data processing and analytics

Knowledge of containerization technologies, such as Docker, for efficient deployment and management of AI/ML solutions

Work Schedule

On-premise

Keywords (If any)

Senior ML Engineer, Generative AI, Senior Python Developer, Solution Architect

Why this role is important to us

Our technology function, Global Technology Services (GTS), is vital to State Street and is the key enabler for our business to deliver data and insights to our clients. We're driving the company's digital transformation and expanding business capabilities using industry best practices and advanced technologies such as cloud, artificial intelligence and robotics process automation.

We offer a collaborative environment where technology skills and innovation are valued in a global organization. We're looking for top technical talent to join our team and deliver creative technology solutions that help us become an end-to-end, next-generation financial services company.

Join us if you want to grow your technical skills, solve real problems and make your mark on our industry.

About State Street

What we do. State Street is one of the largest custodian banks, asset managers and asset intelligence companies in the world. From technology to product innovation, we're making our mark on the financial services industry. For more than two centuries, we've been helping our clients safeguard and steward the investments of millions of people. We provide investment servicing, data & analytics, investment research & trading and investment management to institutional clients.

Work, Live and Grow. We make all efforts to create a great work environment. Our benefits packages are competitive and comprehensive. Details vary by location, but you may expect generous medical care, insurance and savings plans, among other perks. You'll have access to flexible Work Programs to help you match your needs. And our wealth of development programs and educational support will help you reach your full potential.

Inclusion, Diversity and Social Responsibility. We truly believe our employees' diverse backgrounds, experiences and perspectives are a powerful contributor to creating an inclusive environment where everyone can thrive and reach their maximum potential while adding value to both our organization and our clients. We warmly welcome candidates of diverse origin, background, ability, age, sexual orientation, gender identity and personality. Another fundamental value at State Street is active engagement with our communities around the world, both as a partner and a leader. You will have tools to help balance your professional and personal life, paid volunteer days, matching gift programs and access to employee networks that help you stay connected to what matters to you.

State Street is an equal opportunity and affirmative action employer.

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Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability. We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.

We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential. As an essential partner in our shared success, you'll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most. Join us in shaping the future.

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.

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