Senior Data Scientist

Your Role

• Develop and implement ML/NLP models for various business use cases.Analyze and preprocess data, ensuring quality and security compliance.Collaborate with stakeholders to understand requirements and deliver solutions.
• Support ML asset creation and contribute to knowledge sharing within the team.Assist in deploying models using ML pipelines and MLOps practices on cloud or on-premises environments.Stay updated with industry trends and propose innovative AI/ML solutions.

• Programming Languages: Python (NumPy, Pandas, Matplotlib, Seaborn), SQL.Databases: RDBMS (MySQL, Oracle), NoSQL (MongoDB, Cassandra)

• ML/DL Frameworks: Scikit-learn, TensorFlow, PyTorch.Big Data Frameworks: Spark (Spark-ML), H2O (basic exposure. Cloud Platforms: Azure/AWS/GCP (basic experience)

• .Visualization Tools: Tableau, Power BI.Gen AI & LLMs: Familiarity with OpenAI GPT, LLaMA, or similar models; experience with LangChain or similar frameworks for RAG

Your Profile

• Predictive modeling using regression, classification, and ensemble methods.Basic experience with deep learning (CNN, RNN, LSTM) and NLP techniques (sentiment analysis, text classification).
• Familiarity with clustering, dimensionality reduction, and recommendation systems.Exposure to OCR, speech recognition, or computer vision is a plus.
• Understanding of model deployment and MLOps concepts.Exposure to Generative AI concepts and building LLM-based applications. Understanding of RAG pipelines and vector databases.