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Key Responsibilities:
- Lead end-to-end design and delivery of data science solutions, from problem definition to deployment.
- Design, build, and fine-tune NLP and GenAI models for tasks such as summarization, classification, question answering, translation, and chatbot applications.
- Apply statistical modeling, predictive analytics, and machine learning algorithms on structured and unstructured datasets.
Mandatory Skills:
- Strong proficiency in Python for data science, modeling, and scripting.
- Hands-on with classical and ensemble models (e.g., Random Forest, XGBoost).
- Experience with transformers, tokenization, embeddings, sentiment analysis.
Educational Qualifications:
- Master’s or PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field.
InXiteOut
They focus on delivering intelligent solutions and leading strategic AI/ML initiatives. The company's culture seems innovative given its focus on modern machine learning techniques and advancements in GenAI, LLMs, and NLP.