Chief Machine Learning Architect
1 week ago
About the Role:
We are seeking an exceptional Lead Machine Learning Engineer to spearhead the development and implementation of cutting-edge analytics solutions that drive communications intelligence and actionable insights within our FinTech and RegTech product portfolio.
This is a unique opportunity to join a cross-functional agile team of talented ML engineers, collaborating closely with product managers, data scientists, and other stakeholders to deliver high-quality, secure, and resilient SaaS products.
Key Responsibilities:
- Solution Design and Integration: Collaborate with cross-functional teams to design complex solutions and integrate multiple software products to solve high-level challenges.
- Technical Leadership: Act as a subject matter expert in machine learning, fintech, and regtech domains, providing technical leadership, insights, and guidance to internal teams and external stakeholders.
- Problem-Solving and Proposal: Weigh the pros and cons of various solutions and propose the best path forward.
- Feature Development: Work closely with Product Management and engineering teams to define and implement features in a fast-paced environment with careful attention to quality, scalability, and maintainability.
- Complex Solution Breakdown: Break down complex technical solutions into simple abstractions.
- Influence and Collaboration: Influence Principal Engineers/Product Managers on product designs and actively participate in troubleshooting and fixing production issues.
- Issue Investigation and Resolution: Investigate and solve complex bugs, performance, security, and scalability issues, recognizing issue patterns and implementing proactive measures to address root causes.
- Task Lifecycle Management: Manage task lifecycle using tools like JIRA.
- Code Reviews and Best Practices: Participate in internal and external code reviews, provide and receive feedback for continuous improvement, and influence the establishment and sustenance of best practices.
- Mentorship and Teamwork: Mentor and coach team members, actively participating in team agile ceremonies, and providing valuable inputs.
Requirements:
- Industry Experience: Minimum 8+ years of industry experience.
- Education: BS in CS/Masters in CS or equivalent combination of education and experience.
- Technical Expertise: Proficiency with JVM languages (Java/Kotlin) and experience in Python; experience in NLP(including LLMs, MLMs), ML-Ops, and data pipelines; experience with ML frameworks/libraries such as TensorFlow, PyTorch, scikit-learn; strong understanding of ML algorithms, statistical techniques, and data analysis methodologies; experience with data processing, feature engineering, and model evaluation techniques.
- Cloud and Containerization: Experience working in cloud platforms like Amazon Web Services & Google Cloud; proficiency in containerized platforms like Docker, Helm & Kubernetes; experience in CI/CD tools like Bamboo, ArgoCD.
- Distributed Systems and API Design: Proficient in working with distributed systems and proficient in API design.
Estimated Salary Range: $170,000 - $250,000 per annum, based on location and industry standards.
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