
AI/ML Engineer
12 hours ago
Are you a seasoned professional in the field of artificial intelligence and machine learning? Do you have a strong background in mathematics and statistics, as well as experience working with complex classification and extraction models?
We are seeking a talented AI/ML engineer to join our team. As an AI/ML engineer, you will be responsible for designing and developing innovative solutions using AI and ML technologies.
- AI Architecture and Pipeline Planning: Understand the workflow and pipeline architectures of ML and deep learning workloads. An in-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment, and production workflows of AI is a must.
- Data Science and Advanced Analytics: Including knowledge of advanced analytics tools (such as Python) along with applied mathematics, ML, and Deep Learning frameworks (such as PyTorch, Tensorflow) and ML techniques (such as neural networks, transformers, and graphs).
- AWS AI Services: Hands-on experience to build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows. Exposure to AWS MLOps offerings.
Non-Technical Skills:
- Wealth / Insurance Domain Knowledge is advantageous.
- Thought leadership. Be change agents to help the organization adopt an AI-driven mindset. Take a pragmatic approach to the limitations and risks of AI, and project a realistic picture in front of executives/product owners who provide overall digital thought leadership.
- Collaborative mindset. To ensure that AI platforms deliver both business and technical requirements, seek to collaborate effectively with data scientists, data engineers, data analysts, ML engineers, other architects, business unit leaders, and CxOs (technical and non-technical personnel), and harmonize the relationships among them.
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