Data Scientist

Key Responsibilities Model Development: Design, build, and optimize supervised, unsupervised, and deep learning models for various business problems. Data Exploration & Feature Engineering: Clean, transform, and analyze structured and unstructured data; identify significant features. AI Integration: Develop end-to-end AI pipelines and integrate models into production systems using APIs or deployment frameworks. Collaboration: Work closely with product managers, domain experts, and engineers to understand requirements and translate them into data science solutions. Evaluation & Reporting: Track model performance (e.g., RMSE, F1 score, ROC AUC), and prepare technical documentation and reports. Research & Innovation: Stay up to date with latest AI/ML techniques (e.g., LLMs, transformers, reinforcement learning) and propose innovative applications. Key Skills & Qualifications Bachelors or Masters degree in Computer Science, Statistics, Mathematics, Data Science, or related field 4-6 years of hands-on experience in: Python, R, SQL Machine Learning frameworks (e.g., Scikit-learn, XGBoost, LightGBM) Deep Learning (e.g., TensorFlow, PyTorch, Keras) Data manipulation and visualization (e.g., Pandas, NumPy, Matplotlib, Seaborn) Model deployment tools (e.g., Flask, FastAPI, Docker, MLflow) Experience with cloud platforms (AWS/GCP/Azure) and MLOps tools Familiarity with large-scale data processing (e.g., Spark, Dask) is a plus Exposure to NLP, computer vision, or generative AI (OpenAI, Hugging Face, LangChain) is highly desirable. Strong analytical and communication skills. Nice to Have Experience in industry-specific AI applications (e.g., fintech, healthcare, retail) Contribution to open-source projects or ML competitions (e.g., Kaggle) Certifications in Data Science / AI from recognized platforms. Preferred candidate profile We are seeking a highly skilled and results-driven Data Scientist / AI Specialist to join our data and AI team. You will be responsible for developing and deploying advanced machine learning and AI models to solve business problems, drive data-based decision-making, and support AI-driven product development. What We Offer A dynamic and collaborative work environment Opportunities to work on cutting-edge AI/ML projects Flexible work arrangements Competitive compensation and performance bonuses Continuous learning support through training and certifications.