
Data Innovator
1 week ago
You'll be working at the intersection of Generative AI, Machine Learning, and data-driven solutions. This is a high-impact position where you'll collaborate with cross-functional teams to drive innovation.
Key Responsibilities:- Design and Deploy Models: Develop, implement, and deploy machine learning and generative AI models that can streamline business processes, improve customer experiences, and enhance decision-making.
- Translate Business Needs: Translate real-world business challenges into technical solutions from ideation to production.
- Collaborate with Engineers: Work closely with engineers to set up scalable data pipelines, APIs, and infrastructure.
- Monitor Model Performance: Continuously monitor model performance and retrain as needed to ensure optimal results.
- Build Solutions: Develop solutions that leverage Large Language Models (LLMs) for tasks like summarization, sentiment analysis, classification, and recommendations.
- Technical Foundation: You'll need a strong foundation in machine learning, feature engineering, and model deployment.
- Hands-on Experience: You'll have hands-on experience implementing GenAI use cases, including prompt engineering, RAG, embeddings, and related technologies.
- Programming Skills: Proficiency in Python, SQL, and ML libraries like scikit-learn, XGBoost, TensorFlow, or PyTorch.
- Familiarity with LLMs: Familiarity with LLM frameworks like LangChain, OpenAI, HuggingFace, and cloud services like AWS/GCP/Azure.
- Fintech Background: Prior experience in Fintech, BFSI, or working with financial and customer data is preferred.
- Understanding of Ethical AI: You'll have an understanding of ethical AI, data privacy, and model fairness.
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