
Lead Machine Learning Engineer
4 days ago
Key Role:
As a Senior Data Scientist, you will be responsible for leading the development of machine learning models to drive business outcomes.
The ideal candidate will have a strong background in deep learning and computer vision, with experience working on complex problems.
They will also possess excellent communication skills, enabling them to articulate technical concepts to stakeholders at all levels.
Responsibilities- Collaborate with cross-functional teams to design and implement data-driven solutions.
- Develop and deploy machine learning models using various frameworks such as Keras, PyTorch, and TensorFlow.
- Work on finetuning and building robust evaluation pipelines for multimodal SLMS.
- Stay up-to-date with the latest research trends in deep learning and apply them to real-world problems.
Required Skills & Qualifications:
• Bachelor's degree or above in Data Science, Mathematics, Statistics, Econometrics, Computer Science, or related field.
• 3-5 years of experience in building complete ML products, from problem analysis and data selection to production deployment and monitoring.
• Theoretical knowledge and hands-on experience in deep learning, computer vision, and NLP.
• Ability to rapidly prototype and evaluate algorithms.
• Experience with text-only and multimodal SLMS will be a significant plus.
• Strong programming skills, especially in relevant languages for building robust ML models.
• Familiarity with top-tier conferences and journals is desirable but not mandatory.
Benefits: Competitive salary, opportunities for professional growth, and a collaborative work environment.
Preferred Qualification: Domain expertise in Fintech.
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