Job Description
Job Title
AI/ML Engineer (3-7 years of professional experience)
Role Description
We are in search of a AI/ML Engineer with a robust background in Python coding and a profound understanding of machine learning, prompt engineering, and cloud-based solutions.
In the role of a 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:
- Implement AI and ML models using Python, with an emphasis on precision, efficiency, and scalability.
- Proficiency in Prompt Engineering & Optimization Techniques.
- Work in tandem with AI/Ml Engineers, 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.
- Familiarity with Agent Frameworks & Libraries.
- 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, B-TECH or Master’s in Computer Science, Computer Information Systems Engineering or Mathematics
2+ 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 or AWS 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)
AI/ML Engineer, Generative AI, Senior Python Developer
About State Street
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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Skills Required
- BS, B-Tech, or Master's degree in Computer Science, Computer Information Systems, Engineering, or Mathematics
- 3–7 years of professional experience
- At least 2 years of Python programming experience for AI/ML development
- Strong Python programming experience for AI/ML development
- Proficiency in machine learning algorithms, techniques, and frameworks
- Familiarity with large language models such as GPT or BERT
- Hands-on experience with Azure or AWS cloud platforms, including machine learning services and tools
- Excellent communication and cross-functional collaboration skills
- Proficiency in prompt engineering for machine learning models
- Familiarity with Databricks, Azure, or AWS for scalable data processing and analytics
- Knowledge of Docker or other containerization technologies
State Street Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about State Street and has not been reviewed or approved by State Street.
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Retirement Support — Retirement support is framed as a standout component, highlighted by a 401(k) match described as 100% on the first 6% of base salary. This is positioned as a meaningful offset to less competitive cash compensation for some roles.
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Leave & Time Off Breadth — Leave and time off are portrayed as relatively robust, with references to multi-week vacation, paid holidays, sick time, and additional days tied to wellness or volunteering. This breadth is repeatedly treated as a tangible part of total rewards beyond base pay.
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Wellbeing & Lifestyle Benefits — Wellbeing and lifestyle benefits are presented as extensive, including the BeWell program, fitness discounts, onsite or supported health resources, and financial counseling. These offerings are depicted as strengthening the overall benefits proposition even when pay satisfaction is tepid.
State Street Insights
What We Do
At State Street, we partner with institutional investors all over the world to provide comprehensive financial services, including investment management, investment research and trading, and investment servicing. Whether you are an asset manager, asset owner, alternative asset manager, insurance company, pension fund or official institution, you can rely on us to be focused on your challenges. We are committed to doing what it takes to help you perform better — now and in the future
