State StreetAI/ML Engineer -Tech Lead
State Street is hiring an AI/ML Engineer -Tech Lead in Bengaluru, India. Level rates it ; you can apply on Level.
AI in this role
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.
Discover more information on jobs at StateStreet.com/careers
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How we rate this
AI/ML Engineer -Tech Lead at State Street rates 95 out of 100 for how much of the daily work is AI. That makes it Builds AI (AI Level 4 of 4). The level is about AI in the job, not seniority.
Builds AI. The job is building AI systems.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in machine learning engineer jobs at this level
Pay
- Typical machine learning engineer job
- $197k
This posting doesn't list pay. Use the typical machine learning engineer figure when pay comes up. See machine learning engineer jobs
Questions you could be asked
- How do you structure and test a prompt to get consistent output from a language model?
- What NLP problem have you worked on, and how did you measure whether it actually worked?
- What are the limits of Databricks that you've run into, and how did you work around them?
- How would you decide a model or AI system is ready to ship?
- Tell me about a time a model underperformed in production. How did you find out, and what did you change?
Adapt your resume
- List these exact terms on your resume: Prompt engineering, NLP, and Databricks. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Lead with what you built, trained or shipped. This role is judged on the AI system itself, not the tools around it.
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