채용
Benefits & Perks
•Flexible Hours
•Flexible Hours
Required Skills
Python
Machine Learning
Generative AI
Deep Learning
Reinforcement Learning
TensorFlow
PyTorch
Scikit-learn
AWS
AWS SageMaker
Responsibilities:
- Research, design, and implement advanced AIML products to streamline and reduce the software development lifecycle, leveraging in-depth knowledge of IT Software development processes.
- Engage with stakeholders to understand business processes and develop hypotheses, translating requirements into AIML approaches for IT optimization.
- Develop highly complex AIML solution with the highest level of quality control and risk assessment and prepare actionable recommendations to senior leadership, focusing on IT process and productivity enhancement.
- Drive innovative AIML applications and stay ahead of industry trends, partnering with business leaders to adopt and grow AIML portfolio in IT operations.
- Continuously research and explore most advanced AI techniques, particularly in Generative AI including Advanced RAG, Fine-tuning LLMs, Agentic frameworks and Reinforcement learning, maintaining expert knowledge in the space.
- Demonstrate thought leadership at both internal and external conferences. Mentor data scientists on the team, serving as the highest point of escalation and fostering a culture of innovation and AIML excellence.
Qualifications:
- Master's or PhD in Data Science, Computer Science, Machine Learning, Statistics, or a related field.
- 10+ years in data science and machine learning, with 5+ years of in-depth experience in generative AI, autonomous agents, deep learning, and reinforcement learning.
- Advanced Python programming and proficiency in AI/ML frameworks (Tensor Flow, Py Torch, Scikit-learn).
- Proficiency in cloud-based AWS AI services and tools, particularly AWS Sage Maker.
- Proven history of delivering groundbreaking AI solutions for IT process improvement and leading innovation.
- In-depth IT domain knowledge of software development processes and IT software methodologies including UX design, microservices, and database-related terminology.
- Excellent communication and collaboration skills with cross-functional teams.
- Relevant AI/ML or cloud certifications are a plus.
Special Factors
Sponsorship
Vanguard is offering visa sponsorship for this position.
About Vanguard
At Vanguard, we don't just have a mission-we're on a mission.
To work for the long-term 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 in-person learning, collaboration, and connection. We believe our mission-driven and highly collaborative culture is a critical enabler to support long-term client outcomes and enrich the employee experience.
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About Vanguard
Reviews
3.4
3 reviews
Work Life Balance
2.5
Compensation
3.2
Culture
2.8
Career
3.5
Management
3.0
45%
Recommend to a Friend
Pros
Competitive compensation package with bonuses
Good foundation for career development
Interesting programs aligned with education
Cons
Long commute requirements (2.5 hours)
Mandatory on-site presence multiple days
Pay below industry standards
Salary Ranges
1,532 data points
Junior/L3
Junior/L3 · Client Relationship Associate
529 reports
$60,018
total / year
Base
$55,076
Stock
-
Bonus
$4,942
$46,375
$78,763
Interview Experience
3 interviews
Difficulty
3.0
/ 5
Duration
14-28 weeks
Interview Process
1
Application Review
2
Recruiter/HR Phone Screen
3
Technical/Case Study Round
4
Final Round Interview
5
Offer
Common Questions
Behavioral/STAR
Technical Knowledge
Case Study
Past Experience
Culture Fit
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