AI/ML Engineer -Tech Lead
At a glance
Senior Machine Learning Engineering role at Statestreet. Bangalore · full-time.
Pay not stated Machine Learning Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Build AI and machine-learning models in Python, focusing on accurate, efficient and scalable implementation
- Coordinate with engineering and data teams to create data pipelines, preprocessing tools and feature-engineering systems
- Deploy models through cloud services such as Azure, then connect them to existing software and infrastructure
- Tune models to improve their speed and results, and apply prompt optimization and agent frameworks
- Translate team needs into technical plans, track new AI developments and coach less experienced colleagues
What you bring
- A bachelor's or master's degree in computer science, computer information systems, engineering or mathematics
- At least two years using Python to develop AI and machine-learning solutions
- Working knowledge of machine-learning methods and frameworks, plus large language models such as GPT or BERT
- Practical experience with Azure or AWS machine-learning services and tools, alongside clear communication and collaboration
Who this fits
This senior-level role suits someone with hands-on Python AI/ML experience who can also guide junior teammates. The position is on-premise in Bangalore.
From the employer
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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