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Advanced Data Scientist
2 weeks ago
We are seeking highly skilled and innovative data professionals to join our organization.
- The ideal candidates will bring deep experience in building and deploying advanced machine learning models, particularly working with unstructured data, natural language processing (NLP), and generative AI solutions.
- Design, develop, and deploy ML models on cloud-native ecosystems.
- Work extensively with unstructured data sets (text, images, documents, etc.) to extract insights and build scalable solutions.
- Apply NLP and NLG techniques to solve business problems.
- Leverage AI tools and services for generative AI use cases.
- Collaborate with cross-functional teams to identify AI opportunities and deliver impactful solutions.
- Continuously explore, test, and implement new algorithms, tools, and frameworks to improve model accuracy and performance.
- Communicate findings and recommendations effectively to technical and non-technical stakeholders.
- Take ownership and accountability for end-to-end project delivery, from data exploration to production deployment.
- Proven hands-on experience in machine learning, AI services, and cloud-native platforms.
- Strong background in NLP, NLG, and generative AI frameworks.
- Experience with unstructured data pipelines and feature engineering.
- Proficiency in Python, PySpark, and ML libraries (TensorFlow, PyTorch, Hugging Face, etc.).
- Practical experience with AI tools and services is highly desirable.
- Strong problem-solving, analytical, and innovation skills.
- Excellent communication and storytelling ability to present AI solutions to stakeholders.
- Experience in building and deploying enterprise-grade AI solutions in cloud-native environments.
- Prior exposure to GenAI-based copilots, conversational AI, or knowledge assistants.
- Familiarity with MLOps frameworks for productionizing AI models.
