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Advanced AI/ML Solutions Architect
1 month ago
We are in search of a seasoned AI/ML professional with a robust background in Python coding and a profound understanding of machine learning, prompt engineering, and cloud-based solutions. The ideal candidate will have previously developed models, fine-tuned performance, integrated with pre-existing systems, and transitioned data science models into production.
As an Advanced AI/ML Solutions Architect, 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.
- Collaborate with data scientists and software engineers to design and develop data pipelines, preprocessing utilities, and feature engineering systems.
- Leverage cloud platforms, such as 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 up-to-date with the latest breakthroughs in AI and ML technologies and frameworks.
- Cross-functionally collaborate with diverse teams to gather requirements and translate them into technical strategies.
- Mentor and provide technical guidance to less experienced team members.
The salary range for this position is $140,000 - $200,000 per year, depending on experience and qualifications. This role is based in an on-premise work environment.
To be successful in this role, you will need:
- A Bachelor's or Master's degree in Computer Science, Computer Information Systems Engineering, or Mathematics.
- 8+ years of experience in Python programming for AI/ML development.
- Strong expertise 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.
Beyond your technical skills, you will also possess:
- 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.
About State Street: We are one of the largest custodian banks, asset managers, and asset intelligence companies in the world. From technology to product innovation, 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. Join us if you want to grow your technical skills, solve real problems, and make your mark on our industry.
