Fidelity Investments

Job Overview
We are seeking a highly skilled AI Supercluster Technician to join our innovative team. This role involves managing and optimizing large-scale AI infrastructure, supporting model training and deployment, and ensuring the seamless operation of our advanced data processing systems. The ideal candidate will possess expertise in big data technologies, machine learning frameworks, and cloud computing platforms, contributing to cutting-edge AI projects that drive technological advancement. This is an exciting opportunity for professionals passionate about AI, data engineering, and quantum engineering to make a significant impact in a dynamic environment.

Responsibilities

• Manage and maintain large-scale AI superclusters utilizing cloud platforms such as AWS.
• Develop, implement, and optimize machine learning models using frameworks like TensorFlow, Spark MLlib, and other machine learning tools.
• Perform data mining, ETL processes, and database design to support AI workflows.
• Deploy models into production environments ensuring scalability and reliability.
• Collaborate on natural language processing projects and apply unsupervised learning techniques for complex data analysis.
• Design and implement data pipelines using Talend, Bash (Unix shell), and other scripting languages.
• Integrate linked data sources and maintain big data architectures including Hadoop and Spark clusters.
• Conduct model training sessions, evaluate performance metrics, and fine-tune algorithms for optimal results.
• Support quantum engineering initiatives related to AI hardware acceleration or novel computing paradigms.
• Utilize analytics tools like Looker for visualization and reporting of AI system performance.
• Maintain documentation of system architecture, workflows, and procedures to ensure operational continuity.

Experience

• Proven experience with AWS cloud services including EC2, S3, Lambda, or related tools.
• Strong background in machine learning frameworks such as TensorFlow, SAS, R, or similar platforms.
• Hands-on experience with SQL databases, Data mining techniques, and ETL processes using Talend or equivalent tools.
• Proficiency in programming languages including Python, Java, C, VBA, Bash (Unix shell), or similar languages used in data engineering and model deployment.
• Familiarity with big data technologies such as Hadoop and Spark for large-scale data processing.
• Knowledge of natural language processing (NLP), unsupervised learning methods, and model training methodologies.
• Understanding of database design principles and linked data concepts for efficient data management.
• Experience working with analytics tools like Looker for insights generation.
• Background in quantum engineering or related fields is a plus but not mandatory. This position offers an engaging environment where innovation meets technical excellence—ideal for professionals eager to advance the future of AI technology through hands-on work with state-of-the-art systems.

Job Type: Full-time

Pay: $24.89 - $39.98 per hour

Expected hours: 40 per week

Benefits:

• 401(k)
• Dental insurance
• Health insurance
• Paid time off
• Vision insurance

Work Location: In person