
AI/ML Engineer
2 weeks ago
As a professional in the field of artificial intelligence and machine learning, you will have the opportunity to work with cutting-edge technologies and develop complex models that drive business results.
Required Skills:
- Technical Expertise
- Deep understanding of AI architecture and pipeline planning, including workflow and pipeline architectures of ML and deep learning workloads.
- Strong knowledge of data science and advanced analytics, including applied mathematics, ML, and deep learning frameworks (e.g., PyTorch, TensorFlow).
- Hands-on experience building, training, and deploying machine learning models on AWS, including full-stack development, model deployment, and governance.
- Exposure to MLOps principles and practices.
- Business Acumen
- Wealth/insurance domain knowledge is highly advantageous.
- Ability to take a pragmatic approach to AI limitations and risks, providing realistic solutions for executives/product owners.
- Collaborative mindset, working effectively with cross-functional teams, including data scientists, engineers, analysts, architects, and CxOs.
Benefits
- Opportunity to work with a leading organization in the AI/ML space.
- Chance to contribute to the development of innovative solutions that drive business outcomes.
- Collaborative work environment with experienced professionals.
Others
- Ability to grow professionally and personally through ongoing training and education opportunities.
- Flexible work arrangements to promote work-life balance.
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