
Chief Machine Learning Architect
3 days ago
Job Summary:
As a Senior Data Scientist, you will lead the development of machine learning models to drive business growth.
Key Responsibilities:
- Collaborate with cross-functional teams to identify opportunities for data-driven innovation.
- Design and implement scalable machine learning architectures to meet business needs.
- Develop and maintain complex statistical models to analyze large datasets.
- Stay up-to-date with emerging trends and technologies in deep learning, computer vision, and NLP.
- Work closely with engineers to integrate models into production environments.
- Communicate technical concepts effectively to stakeholders at various levels.
Requirements:
- Bachelor's or higher degree in Data Science, Mathematics, Statistics, Econometrics, Computer Science, or related field.
- 3-5 years of experience in building complete ML products from problem analysis to deployment and monitoring.
- Theoretical knowledge and hands-on experience in deep learning, computer vision, and NLP.
- Ability to prototype and evaluate algorithms quickly.
- Experience working with text-only and multimodal SLMS, including finetuning and building robust eval pipelines.
- Proficiency in deep learning frameworks like Keras, PyTorch, and TensorFlow.
- Strong programming skills, particularly in building robust ML models.
- Domain experience in Fintech is preferred but not mandatory.
- Publishing in top-tier conferences and journals is considered a plus.
Preferred Skills:
- Experience with text-based and multimodal SLMs.
- Hands-on expertise in deep learning frameworks.
- Strong understanding of machine learning algorithms and their applications.
What We Offer:
- A dynamic work environment.
- Opportunities for professional growth and development.
- A competitive compensation package.
At our company, we prioritize innovation and collaboration. Our team is dedicated to driving business growth through cutting-edge technology.
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