**Job Title: Senior Machine Learning Engineer**

We are seeking a highly skilled Senior Machine Learning Engineer to join our team in advancing the frontier of AI-driven solutions. In this role, you will be critical in designing, implementing, and maintaining both traditional machine learning models and cutting-edge systems built with Generative AI technology.

**Key Responsibilities:**
- Develop, implement, and maintain robust machine learning models using Generative AI.
- Engage in prompt engineering to optimize interactions with large language models and other AI systems.
- Utilize techniques like Retrieval-Augmented Generation (RAG) for enhancing AI solutions with real-time information retrieval.
- Design graph databases using tools such as NetworkX or AWS Neptune for relationship-oriented data modeling.
- Fine-tune Large Language Models (LLMs) to tailor solutions to specific business needs and improve model efficiency.
- Leverage AWS services (including S3, ECS, ECR, Lambda, SageMaker, etc.) to build scalable machine learning solutions.
- Utilize data engineering skills with Glue and PySpark for efficient data preparation and processing.
- Conduct model evaluation and testing to ensure accuracy, reliability, and robustness.
- Monitor machine learning models in production and implement strategies for ongoing performance tracking and optimization.
- Ensure model and data security through secure API integration and comprehensive data security principles.
- Govern models compliant with the Machine Learning Development Lifecycle (MDLC) and Machine Learning Production Lifecycle (MPLC) processes.
- Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders, to deliver impactful machine learning solutions.
- Stay up-to-date with the latest advancements in machine learning and generative AI technologies.

**Qualifications:**
- Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, Data Science, or a related field.
- 5+ years of experience in machine learning and data engineering roles.
- Experience with prompt engineering and fine-tuning large AI models.
- Familiarity with Retrieval-Augmented Generation (RAG) techniques.
- Proficiency in designing graph databases using AWS Neptune, Neo4J, or NetworkX.
- Proficiency in Python, with strong understanding of libraries such as TensorFlow, PyTorch, and Scikit-learn.
- Extensive experience with AWS services relevant to machine learning, including SageMaker, Glue, and PySpark.
- Experience with secure API integration and solid understanding of data security practices.
- Strong understanding of data preprocessing, feature engineering, and model training/evaluation.
- Experience with model monitoring, performance analysis, and optimization techniques.
- Familiarity with model governance frameworks, including MDLC and MPLC processes.
- Excellent problem-solving skills and the ability to innovate and think critically about complex issues.
- Strong communication and collaboration skills, with the ability to work effectively in a team environment.

**Preferred Qualifications:**
- Experience with advanced AI models, such as large language models and reinforcement learning.
- Certifications in AWS Machine Learning or related areas.

**Sponsorship:**
Vanguard is offering visa sponsorship for this position.

**About Vanguard:**
Vanguard’s mission is to work for the long-term financial wellbeing of our clients, leading through products and services that transform lives. Our commitment to diversity, equity, and inclusion (DEI) is central to our ability to deliver on our mission, aiming to create an inclusive and equitable work environment that enables all employees to thrive.

**How We Work:**
Vanguard has implemented a hybrid working model designed for flexibility while promoting in-person learning and collaboration. Our mission-driven and highly collaborative culture is critical for supporting long-term client outcomes and enhancing the employee experience.