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Senior Machine Learning Engineer
2 weeks ago
Imagine having the opportunity to lead the development and deployment of cutting-edge AI and machine learning models, combining deep technical expertise in traditional ML, data science, and deep learning.
This role empowers you to leverage your extensive ML and AI expertise to drive innovation in diverse industry domains and develop transformative solutions. Your leadership will set high technical standards, shape new AI-driven product offerings, and deliver measurable, outcome-oriented results aligned with our core values.
Key Responsibilities- Advanced Model Development & Optimization: Develop, fine-tune, and optimize traditional machine learning and deep learning models to deliver scalable, production-grade solutions across multiple domains (NLP, Vision, Audio).
- Research & Technical Leadership: Stay current with state-of-the-art machine learning and deep learning research, translating complex theoretical knowledge into practical, impactful business applications.
- Strategic Deployment & Monitoring: Lead the development of sophisticated deployment strategies and robust monitoring frameworks, ensuring continuous performance evaluation and iterative improvement.
- Cross-Functional Collaboration: Partner closely with data engineers, AI solutions engineers, software developers, and business leaders to align technical decisions with strategic business outcomes.
- Technical Mentorship: Guide junior engineers and promote high engineering standards, best practices, and continuous learning within the team.
- Comprehensive Documentation & Communication: Clearly document and communicate complex technical solutions, methodologies, and results to stakeholders across the organization.
- Accountability – Deliver on commitments.
- Communication– Provide clear context-aware communication.
- Outcome – Achieve high throughput.
- Quality – Maintain high-quality work and consistency.
- Ownership – Take ownership and go beyond.
