Data Scientist Ai Eng 8 Yrs Ahmedabed Ahmedabad

About the Opportunity A dynamic tech firm operating at the intersection of enterprise AI and advanced data science, we build scalable machine learning systems that drive automation, predictive analytics, and intelligent decision-making for mid-to-large businesses across finance, logistics, and SaaS verticals. Our Data Science + AI Engineering team turns complex data into production-grade AI solutionsleveraging cloud-native architectures, MLOps pipelines, and generative AI frameworks to deliver measurable ROI. Role & Responsibilities Design, train, and deploy ML models (supervised/unsupervised) for business-critical use cases including forecasting, classification, and anomaly detection. Build and maintain MLOps pipelines using Azure ML / SageMaker / Vertex AI for model versioning, retraining, and CI/CD integration. Collaborate with product and engineering teams to operationalize AI models into scalable microservices using Python, FastAPI, or Flask. Apply NLP and GenAI techniques (LangChain, RAG, LLM fine-tuning) to enhance chatbots, document processing, and search systems. Optimize model performance through feature engineering, hyperparameter tuning, and A/B testing in production environments. Ensure model governancemonitoring drift, bias, explainability (SHAP/LIME), and compliance with enterprise audit standards. Skills & Qualifications Must-Have Python Scikit-learn Pandas TensorFlow / PyTorch SQL Azure ML / SageMaker / Vertex AI Git LangChain Preferred LLM fine-tuning (LoRA, PEFT) FastAPI / Flask MLflow / Weights & Biases Benefits & Culture Highlights In office work with versatile core hours in Ahmedabadteam-oriented, innovation-driven culture. Access to cutting-edge AI tooling and cloud credits for experimentation and upskilling. Opportunity to own end-to-end AI product modules and present impact to C-suite stakeholders. About the Opportunity A dynamic tech firm operating at the intersection of enterprise AI and advanced data science, we build scalable machine learning systems that drive automation, predictive analytics, and intelligent decision-making for mid-to-large businesses across finance, logistics, and SaaS verticals. Our Data Science + AI Engineering team turns complex data into production-grade AI solutionsleveraging cloud-native architectures, MLOps pipelines, and generative AI frameworks to deliver measurable ROI. Role & Responsibilities Design, train, and deploy ML models (supervised/unsupervised) for business-critical use cases including forecasting, classification, and anomaly detection. Build and maintain MLOps pipelines using Azure ML / SageMaker / Vertex AI for model versioning, retraining, and CI/CD integration. Collaborate with product and engineering teams to operationalize AI models into scalable microservices using Python, FastAPI, or Flask. Apply NLP and GenAI techniques (LangChain, RAG, LLM fine-tuning) to enhance chatbots, document processing, and search systems. Optimize model performance through feature engineering, hyperparameter tuning, and A/B testing in production environments. Ensure model governancemonitoring drift, bias, explainability (SHAP/LIME), and compliance with enterprise audit standards. Skills & Qualifications Must-Have Python Scikit-learn Pandas TensorFlow / PyTorch SQL Azure ML / SageMaker / Vertex AI Git LangChain Preferred LLM fine-tuning (LoRA, PEFT) FastAPI / Flask MLflow / Weights & Biases Benefits & Culture Highlights In office work with versatile core hours in Ahmedabadteam-oriented, innovation-driven culture. Access to cutting-edge AI tooling and cloud credits for experimentation and upskilling. Opportunity to own end-to-end AI product modules and present impact to C-suite stakeholders.