Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity with model optimization techniques including quantization and distillation. * Knowledge of AI ...
Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity with model optimization techniques including quantization and distillation. * Knowledge of AI ...
Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity with model optimization techniques including quantization and distillation. * Knowledge of AI ...
Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity with model optimization techniques including quantization and distillation. * Knowledge of AI ...
Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity with model optimization techniques including quantization and distillation. * Knowledge of AI ...
Practical knowledge of deep learning, neural networks, and traditional ML algorithms. * Familiarity with model optimization techniques including quantization and distillation. * Knowledge of AI ...
Lead Machine Learning Engineer-MLOps
Columbus, OH · On-site
$95.80K - $126.10K/yr
Implement quantization techniques and deploy large language models (LLMs) to maximize efficiency ... Deep knowledge and passion for data science fundamentals, training and deploying models
Lead Machine Learning Engineer-MLOps
Columbus, OH · On-site
$95.80K - $126.10K/yr
Implement quantization techniques and deploy large language models (LLMs) to maximize efficiency ... Deep knowledge and passion for data science fundamentals, training and deploying models
... product quantization is a plus. * Experience with embeddings, ANN/KNN, vector stores, database ... Foundational understanding of Natural Language Processing and Deep Learning. * Excellent problem ...
... product quantization is a plus. * Experience with embeddings, ANN/KNN, vector stores, database ... Foundational understanding of Natural Language Processing and Deep Learning. * Excellent problem ...
Deep Learning Quantization information
What are the key skills and qualifications needed to thrive as a Deep Learning Quantization Engineer, and why are they important?
To excel as a Deep Learning Quantization Engineer, you need a strong background in machine learning, applied mathematics, and computer science, usually supported by an advanced degree in a related field. Familiarity with deep learning frameworks (such as TensorFlow or PyTorch), quantization toolkits, and hardware acceleration platforms is crucial. Analytical thinking, problem-solving, and clear technical communication are standout soft skills in this role. These abilities are essential for efficiently optimizing models for deployment on resource-constrained hardware while maintaining accuracy and performance.
What are some common challenges faced when implementing deep learning quantization in production environments?
One of the main challenges in implementing deep learning quantization is balancing model accuracy with computational efficiency, as quantization can sometimes lead to a drop in model performance. Additionally, ensuring hardware compatibility and optimizing for different devices (such as CPUs, GPUs, or edge devices) can require extensive testing and tuning. Collaboration with data scientists, software engineers, and hardware specialists is often essential to successfully deploy quantized models at scale. Staying updated with the latest quantization techniques and frameworks is also important for overcoming these challenges.
What is deep learning quantization?
Deep learning quantization is the process of reducing the precision of the numbers used to represent a neural network's parameters, activations, or both. By converting the typically used 32-bit floating-point values to lower bit-width formats such as 16-bit or 8-bit integers, quantization significantly reduces the memory footprint and computational requirements of deep learning models. This technique helps deploy models efficiently on edge devices and mobile hardware while maintaining acceptable accuracy levels. Quantization is widely used in model optimization for faster inference and lower power consumption.
What is the difference between Deep Learning Quantization vs Machine Learning Engineer?
| Aspect | Deep Learning Quantization | Machine Learning Engineer |
|---|---|---|
| Required Credentials | Advanced degrees in AI, Computer Science, or related fields; knowledge of neural networks | Bachelor's or Master's in CS, Data Science, or related fields; programming skills |
| Work Environment | Research labs, AI development teams, hardware optimization settings | Software development teams, data-driven projects, product-focused environments |
| Industry Usage | AI hardware optimization, model deployment, edge computing | Model development, data analysis, software solutions across industries |
Deep Learning Quantization focuses on reducing model size and improving inference speed through techniques like weight and activation quantization, often in hardware or embedded systems. Machine Learning Engineers develop, implement, and optimize machine learning models for various applications. While both roles require knowledge of AI and programming, Deep Learning Quantization is more specialized in model optimization techniques, whereas Machine Learning Engineers work broadly on model development and deployment.
What are popular job titles related to Deep Learning Quantization jobs in Ohio? For Deep Learning Quantization jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Deep Learning Quantization jobs in Ohio look for? The top searched job categories for Deep Learning Quantization jobs in Ohio are:
What cities in Ohio are hiring for Deep Learning Quantization jobs? Cities in Ohio with the most Deep Learning Quantization job openings:
Full-time
Posted 3 days ago
Fifth Third Bank rating
7.6
Based on 108 frontline employees who took The Breakroom Quiz
80th of 141 rated banks
Job description
Make banking a Fifth Third better®
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
General Function
The Principal AI Engineer architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank. This role involves conducting rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data. The AI Engineer creates solutions that range from on-demand analytics to fully integrated software systems, working closely with cross-functional teams to align technical solutions with business requirements.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
Essential Duties and Responsibilities
AI Development and Implementation
Analytics and Insights
Collaboration and Communication
Minimum Knowledge, Skills and Abilities Required
Education and Experience
Technical Skills
Engineering Practices
Business and Soft Skills
Position not available for immigration sponsorship
Must be willing to relocate to Cincinnati, OH
#LI-MB1
AI Engineer - Automated Channels Transformation
At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.
The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.
Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner.
LOCATION -- Cincinnati, Ohio 45202
Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
We connect great people to great opportunities. Are you ready to take the next step? Discover a career in banking at Fifth Third Bank.
General Function
The Principal AI Engineer architects and implements artificial intelligence and machine learning systems that address diverse business challenges throughout the Bank. This role involves conducting rigorous data analysis, performing statistical evaluation, designing experimental frameworks, and developing algorithms that effectively leverage both structured and unstructured data. The AI Engineer creates solutions that range from on-demand analytics to fully integrated software systems, working closely with cross-functional teams to align technical solutions with business requirements.
Responsible and accountable for risk by openly exchanging ideas and opinions, elevating concerns, and personally following policies and procedures as defined. Accountable for always doing the right thing for customers and colleagues and ensures that actions and behaviors drive a positive customer experience. While operating within the Bank's risk appetite, achieves results by consistently identifying, assessing, managing, monitoring, and reporting risks of all types.
Essential Duties and Responsibilities
AI Development and Implementation
- Design, develop, and implement AI and machine learning systems that address specific business challenges and deliver measurable value.
- Create and maintain model documentation, ensuring transparency in methodologies and approaches.
- Research, test, and apply state-of-the-art generative AI models and/or solutions for potential use.
- Develop agentic AI systems capable of autonomous reasoning, planning, and tool utilization for complex task completion.
- Create comprehensive evaluation frameworks to assess model performance, detect hallucinations, and ensure output quality.
- Stay current with emerging AI/ML technologies, frameworks, and methodologies.
- Contribute to establishing best practices for AI development and deployment.
- Sets enterprise-wide technical standards by defining reference architectures, chairing design reviews, and approving model lifecycle gates (e.g., data sourcing, bias audits, drift monitoring).
Analytics and Insights
- Extract meaningful patterns and insights from complex, multi-dimensional data sets.
- Apply advanced analytics including predictive modeling, machine learning, and optimization techniques.
- Translate business questions into well-defined analytical problems with clear objectives
- Design and execute experiments with statistically valid methodologies and evaluation criteria.
- Develop specialized analytics for banking-specific use cases while maintaining compliance with financial regulations.
Collaboration and Communication
- Leads projects or processes with limited supervision, applying advanced knowledge to solve complex problems and coach or review the work of lower-level professionals.
- Acts as a resource for colleagues, influencing technical direction and standards across multiple products or platforms.
- Drives cross-team technical initiatives and mentors Lead Engineers, ensuring integration, scalability, and compliance across multiple products and platforms.
- Partner with cross-functional teams to understand business requirements and translate them into technical solutions.
- Effectively communicate complex technical concepts to non-technical stakeholders.
- Present findings, recommendations, and insights to business teams in accessible formats.
- Collaborate with software engineers, cloud engineers, data engineers, and data scientists to integrate AI solutions into existing systems and products.
- Work with compliance and security teams to ensure AI systems meet banking regulatory requirements.
Minimum Knowledge, Skills and Abilities Required
Education and Experience
- Bachelor's degree in Computer Science, Statistics, Data Science, Mathematics, or related technical field; Advanced degree preferred but not required.
- 6+ years of experience developing and deploying machine learning or AI solutions in production environments.
Technical Skills
- Strong programming skills with proficiency in Python; familiarity with JavaScript and SQL.
- Expertise in generative AI techniques including prompt engineering, fine-tuning, retrieval-augmented generation (RAG), evaluation frameworks, tool integration, and agentic system design.
- Experience with cloud computing platforms (AWS preferred, specifically Bedrock, Sagemaker, Lex, etc.).
- Skilled in data visualization and storytelling, effectively communicating complex analytical insights in clear, actionable formats for technical and non-technical audiences.
- Experience with machine learning frameworks (PyTorch, scikit-learn, Hugging Face).
- Practical knowledge of deep learning, neural networks, and traditional ML algorithms.
- Familiarity with model optimization techniques including quantization and distillation.
- Knowledge of AI orchestration frameworks (LangChain, LlamaIndex, MCPs, etc.)
Engineering Practices
- Proficiency with version control systems (Git/GitHub)
- Understanding of CI/CD pipelines and DevOps practices
- Experience with containerization and Infrastructure as Code (Docker, Terraform)
- Knowledge of data structures, algorithms, and software design principles
- Experience designing observability systems for AI applications
Business and Soft Skills
- Communicates clearly and builds consensus across teams
- Mentors colleagues and promotes knowledge sharing
- Excellent written and verbal communication skills
- Strong analytical thinking and problem-solving abilities
- Ability to manage time effectively and prioritize competing demands
- Self-motivated with demonstrated capacity to work independently
- Experience working in Agile environments
- Proficiency with Microsoft Office suite (Word, Excel, PowerPoint)
- Understanding of ethical considerations in AI deployment
Position not available for immigration sponsorship
Must be willing to relocate to Cincinnati, OH
#LI-MB1
AI Engineer - Automated Channels Transformation
At Fifth Third, we understand the importance of recognizing our employees for the role they play in improving the lives of our customers, communities and each other. Our Total Rewards include comprehensive benefits and differentiated compensation offerings to give each employee the opportunity to be their best every day.
The base salary for this position is reflective of the range of salary levels for all roles within this pay grade across the U.S. Individual salaries within this range will vary based on factors such as role, relevant skillset, relevant experience, education and geographic location. In addition to the base salary, this role is eligible to participate in an incentive compensation plan, with any such payment based upon company, line of business and/or individual performance.
Our extensive benefits programs are designed to support the individual needs of our employees and their families, encompassing physical, financial, emotional and social well-being. You can learn more about those programs on our 53.com Careers page at: https://www.53.com/content/fifth-third/en/careers/benefits.html or by consulting with your talent acquisition partner.
LOCATION -- Cincinnati, Ohio 45202
Attention search firms and staffing agencies: do not submit unsolicited resumes for this posting. Fifth Third does not accept resumes from any agency that does not have an active agreement with Fifth Third. Any unsolicited resumes - no matter how they are submitted - will be considered the property of Fifth Third and Fifth Third will not be responsible for any associated fee.
Fifth Third Bank, National Association is proud to have an engaged and inclusive culture and to promote and ensure equal employment opportunity in all employment decisions regardless of race, color, gender, national origin, religion, age, disability, sexual orientation, gender identity, military status, veteran status or any other legally protected status.
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About Fifth Third Bank
Sourced by ZipRecruiter
Fifth Third Bank, National Association established in 1858, is a diversified financial services company headquartered in Cincinnati, Ohio. Fifth Third is among the largest money managers in the Midwest. It operates four main businesses: Commercial Banking, Branch Banking, Consumer Lending, and Wealth & Asset Management.
Industry
Finance and insurance
Company size
10,000+ Employees
Headquarters location
Cincinnati, OH, US
Year founded
1858