Machine Learning Engineer Specialist
Machine Learning Engineer Specialist
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Salary Not Disclosed
1 Vacancy
Job Description
Responsibilities:
Lead engineering design and deployment of complex data and model pipelines. Establish best practices and drive innovation in endtoend data and model pipeline deployment and automation technologies. Expertlevel knowledge in SDLC and related tools and processes. Proficient in developing highly efficient designs and strategies for both batch and realtime data pipelines.
Integrate and optimize existing data and model pipelines. Identify and diagnose data inconsistencies and errors document assumptions and fill data gaps. Apply expert knowledge of experimental methodologies statistics optimization probability theory and machine learning concepts to create selfrunning AI systems for automating data science models.
Partner with data science teams to understand data requirements and perform data discovery for model development. Perform detailed analysis of raw data sources for data quality apply business context and model development needs. Drive best practices and innovation in data discovery techniques. Write model monitoring scripts as needed. Diagnose root causes based on model monitoring alerts and triage issues. Coordinate and plan responses to model monitoring alerts and resolve issues.
Demonstrate strategic thinking and apply expertise in cloudbased architectures technologies (including GenAI) and platforms to deliver optimized ML models at scale.
Drive engineering innovation in the labs through effective collaboration with data scientists technologists and business stakeholders. Drive roadmap/strategy discussions with product owners and business partners as a trusted advisor for engineering/technology.
Serves as a machine learning engineering subject matter expert on cross functional teams for large strategic initiatives and contributes to the growth of the Vanguard analytic community.
Qualifications:
MS in Computer Science Statistics Machine Learning Data Science Electrical Engineering or related field.
Minimum of 5 years related work experience with 2 years of experience in deploying and maintaining AI/ML related projects.
Advanced programming skills particularly in languages like Python. Proficiency in using AWS machine learning services such as Sagemaker for model pipeline development training and deployment. Proven ability to develop and deploy machine learning models with robust data architectures.
Proficiency in AWS Cloud Formation for infrastructure as code. Experience with CI/CD practices for both machine learning and data engineering workflows.
Experience with data processing technologies such as Apache Spark AWS Glue and Hadoop.
Ability to convey technical concepts to diverse stakeholders and demonstrate thought leadership in engineering space. Strong technical skills on ML/AI with a proven track record.
Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.About Vanguard
At Vanguard we dont just have a missionwere on a mission.
To work for the longterm financial wellbeing of our clients. To lead through product and services that transform our clients lives. To learn and develop our skills as individuals and as a team. From Malvern to Melbourne our mission drives us forward and inspires us to be our best.
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.
Required Experience:
Unclear Seniority
Employment Type
Full-Time
