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2 weeks ago
This is a senior position for an experienced data scientist to design, build and scale AI-powered solutions. The ideal candidate will have strong technical leadership skills, applied research expertise and business impact.
Key Responsibilities- Translate complex business problems into advanced statistical frameworks.
- Develop scalable ML and DL solutions with a focus on LLMs and Generative AI.
- Build and optimize training, fine-tuning, evaluation and deployment pipelines for LLMs.
- Apply Responsible AI principles to ensure fairness, explainability and bias mitigation.
- Lead applied research and incorporate cutting-edge GenAI methods into production.
- Build scalable data pipelines and end-to-end ML systems on cloud platforms.
- Provide technical guidance to junior talent and influence the data science roadmap.
- Masters or PhD in Computer Science, Statistics, Data Science or related fields.
- 8-12 years of experience in applied data science/ML with strong domain exposure to e-commerce, advertising or retail.
- 3-4 years of hands-on experience in LLMs, Generative AI and NLP.
- 2+ years of leadership experience guiding projects and teams.
- Strong proficiency in Python, SQL, PyTorch/TensorFlow and cloud ML platforms (AWS/GCP/Azure).
- Experience with MLOps frameworks (MLflow, Kubeflow, Vertex AI, SageMaker).
- Solid statistical foundation (hypothesis testing, regression, causal inference, time-series).
- Opportunity to work on cutting-edge AI solutions.
- Be part of a fast-scaling SaaS startup.
- Culture of innovation, ownership and continuous learning.
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