Senior AI Engineer- Data Engineering

Category:

Information Technology

Employment Type:

Direct Hire

Reference:

BH-389607

Senior AI Engineer- Data Engineering - Hybrid - Full Time
Location- Phoenix, AZ
Industry- Financial

How will you make an impact in this role?

• Mentors junior AI Engineers and cross-functional team of colleagues, fostering a culture of excellence and innovation
• Integrates AI models into production systems in collaboration with cross-functional teams, ensuring effective integration into existing production systems
• Maintains strict adherence to model governance, security, and compliance standards
• Provides guidance and support to junior engineers, fostering professional growth and development within the team
• Designs and implements AI/machine learning frameworks for data processing, focusing on prompt engineering and generative AI technologies
• Collaborates with engineers to deliver scalable AI solutions by integrating models that meet both technical and business requirements
• Translates business requirements into AI-driven technical solutions, ensuring that business needs are converted into actionable models and algorithms
• Develops reusable Big Data pipelines and AI-based systems, ensuring efficiency and consistency in data processing and model deployment
• Experiments with and deploys new natural language processing models to classify and analyze business-related text data, conducting research to improve text classification and analysis
• Creates end-to-end machine learning operations pipelines for scalable model deployment, facilitating seamless deployment, monitoring, and maintenance of AI models
• Collaborates and co-creates effectively with teams in product and the business to align technology initiatives with business objectives

• Bachelor's degree in Computer Science, Machine Learning, Data Science, and/or comparable experience; advanced degree preferred
• Knowledge of Python and data processing technologies such as Big Data (Hadoop, Spark)
• Knowledge of natural language processing techniques like fuzzy wuzzy and models such as BERT, Transformer models, and their real-world applications
• 3-5 years experience in software development with a focus on machine learning, generative AI, Big Data, and prompt engineering
• Experience in working with large language models (LLMs), especially GPT-3.5/4 or similar AI models
• Experience in languages such as Python, R, Java, or C++
• Experience in building and deploying AI models and pipelines using machine learning operations tools including Classical ML, Generative AI, Prompt Engineering, LangChain and NLU/NLP
• Experience in machine learning algorithms and experience applying them to real-world problems
• Experience in continuous integration/continuous deployment pipelines and containerized deployments
• Experience in building and maintaining data pipelines and extract, transform, and load processes

• Experience taking models through AI/ML governance, in a highly regulated industry, a plus

• Medical, Prescription, Dental & Vision Benefits (for employees working 20+ hours per week)
• Health Savings Account (HSA) (for employees working 20+ hours per week)
• Life & Disability Insurance (for employees working 20+ hours per week)
• MetLife Voluntary Benefits
• Employee Assistance Program (EAP)
• 401K Retirement Savings Plan
• Direct Deposit & weekly epayroll
• Referral Bonus Programs
• Certification and training opportunities