AIML Engineer
AIML Engineer
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Job Description
Role Overview:
We are looking for a Machine Learning Engineer to join our team and play a critical role in developing scalable productionready AI/ML solutions. Youll work closely with research scientists software engineers and business stakeholders to bring machine learning models from research to production enabling impactful and innovative AI applications in areas such as generative AI Agentic AI and responsible AI
This is an exciting opportunity to work on stateoftheart projects including large scale language models generative AI cognitive systems and realtime AI pipelines all while ensuring the highest standards of performance and reliability.
Core Responsibilities:
- Design and implement robust pipelines to deploy machine learning models into production environments.
- Build and optimize scalable infrastructure for machine learning workflows including data preprocessing model training and inference.
- Optimize models for latency accuracy and efficiency in realworld scenarios.
- Work closely with data scientists to transition research models into production grade solutions.
- Develop and maintain automated workflows for version control model monitoring and retraining.
- Collaborate with data engineering teams to ensure efficient data pipelines and availability of highquality datasets.
- Build tools to streamline machine learning development and deployment processes.
- Ensure deployed solutions adhere to responsible AI principles focusing on safety.
Qualifications:
- Bachelors or Masters degree in Computer Science Data Science or AI related fields
- Proficiency in Python and frameworks such as Tensorflow PyTorch or Scikitlearn.
- Experience deploying ML models in cloud environments like AWS GCP or Azure
- Familiarity with containerization tools (e.g. Docker) and orchestration frameworks (e.g. Kubernetes)
- Expertise in MLOps tools and practices including CI/CD pipelines model versioning and monitoring
- Strong understanding of distributed systems and scaling machine learning workflows
- Solid knowledge of machine learning algorithms model training and evaluation techniques
- Experience working with NLP computer vision or generative AI models is a plus
- Ability to work in crossfunctional teams and communicate effectively with data scientists engineers and business stakeholders.
- Strong debugging and problemsolving skills to address technical challenges in deployment environments.
How We Work
Vanguard has implemented a hybrid working model for the majority of our crew members designed to capture the benefits of enhanced flexibility while enabling inperson learning collaboration and connection. We believe our missiondriven and highly collaborative culture is a critical enabler to support longterm client outcomes and enrich the employee experience.
Employment Type
Full-Time
