Sr AI Engineer
About The Position
We're looking for a highly experienced and motivated Senior AI Engineer to develop and deploy cutting-edge AI/ML solutions within our AI Accelerator Team. You'll work with and mentor a team of engineers responsible for leveraging the latest AI technologies and ML models to deploy best-in-class tools for Pennymac’s employees and customers. This role requires a deep understanding of AI agentic programming, machine learning algorithms, natural language processing (NLP), computer vision, AWS and GCP cloud technologies, and MLOps practices. Strong communication skills are essential to effectively collaborate within the team and provide technical mentorship to peers.
Requirements
- Bachelor’s degree or equivalent work experience
- 5+ years of relevant work experience
- FinTech or Mortgage Domain knowledge.
- Experience in Evaluation Driven Development.
- Experience in Agile/SCRUM using Jira.
- Experience with feature flagging and service/API semantic versioning.
- Experience building and maintaining effective relationships with product managers, architects, technical leads, and business stakeholders.
Responsibilities
- Design and implement AI/ML solutions on AWS Bedrock and Google Vertex AI, including model selection, training, optimization, and deployment.
- Utilize AWS services (e.g., EC2, S3, Lambda, SageMaker) and GCP services (e.g., Compute Engine, Cloud Storage, BigQuery, Vertex AI) to build and manage scalable cloud infrastructure for AI/ML workloads.
- Develop and optimize high-performance machine learning models using Python and relevant libraries such as TensorFlow, PyTorch, and spaCy for predictive analytics and NLP.
- Implement and manage MLOps practices to ensure efficient model development, deployment, monitoring, and retraining within the IDP pipeline.
- Demonstrate proficiency in utilizing AWS Bedrock services (e.g., Titan FMs, foundation models) and Google Vertex AI services (e.g., Vertex AI Workbench, pre-trained APIs).
- Design and implement robust data pipelines for efficient data ingestion, preprocessing, and feature engineering.
- Identify and resolve performance and scalability issues in models and infrastructure to improve the accuracy and efficiency of tools in production.
- Collaborate with cross-functional teams (e.g., product management, data science, software engineering) to deliver impactful solutions that meet business requirements.
- Participate in code reviews and provide technical guidance to peers on best practices and latest technology trends.
- Work with DevOps teams to ensure continuous delivery of the product using agile methodology.
- Stay abreast of the latest advancements in AI/ML, NLP, computer vision, and cloud technologies to evaluate new techniques that enhance our AI solutions.
Benefits
- Comprehensive Medical, Dental, and Vision
- Paid Time Off Programs including vacation, holidays, illness, and parental leave
- Wellness Programs, Employee Recognition Programs, and onsite gyms and cafe style dining (select locations)
- Retirement benefits, life insurance, 401k match, and tuition reimbursement
- Philanthropy Programs including matching gifts, volunteer grants, charitable grants and corporate sponsorships
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees
