Role: Data Scientist
Exp: 6+ years
Location: Remote
Shift: IST
Budget: 1.2 Lacs + GST / Month
JD
Experienced data scientist with 6+ years of experience in problem-solving experience using machine learning, end-to-end process automation, data mining and visualization.
Certified AZURE Solutions Architect and GCP Professional Machine Learning Engineer.
Proficient in fine-tuning and deploying large language models (LLMs) such as Mistral, Longformer, LLaMA and Gemini.
Experience with frameworks like Hugging Face Transformers and PyTorch/TensorFlow.
Expertise in prompt engineering, including creating custom prompts for optimal LLM performance.
Experience in building machine learning models using state-of-art algorithms for analysing structured, semi-structured and unstructured data.
Experienced in understanding stakeholder's requirements and business rules to reflect them into business process flow.
Able to leverage a heavy dose of mathematics and applied statistics and a healthy sense of exploration.
Strong working knowledge on Azure, AWS and GCP's ML tools and infra.
Proficient in Supervised and Unsupervised Machine Learning algorithms, Predictive Modelling and NLP such as Linear Regression, Logistic Regression, Naive Bayes, Decision Tree (CART), Random Forest, Gradient Boosting, SVM, KNN, K-Means Clustering, PCA.
Experience with R & Python 3.x including Numpy, Scikit-learn, Pandas, Seaborn, and Matplotlib to develop analytic models and solutions.
Strong in statistic techniques, such as Hypothesis testing, Z-test, Binomial test, Correlation, T-test, ANOVA, Chi-square test, F-test.
Proficient in model optimization using Cross-validation and Model Evaluation using performance metrics like ROC, Confusion Matrix, F1 score, Accuracy, Sensitivity, Specificity and Cost Functions like MAE, RMSE.
Skills: azure,llm,aws,machine learning