Data Scientist (3-6 Yrs)

DXFactor is a US-based tech company working with customers across the globe. We are a Great place to work with certified company. We are looking for candidates for Data Scientist (3-6 Yrs exp) We have our presence in:USIndia (Ahmedabad, Bangalore) Location: Ahmedabad (work from office)Website: www.DXFactor.com Designation: Data Scientist (3-6Yrs exp) Key Responsibilities Design, develop, and implement end-to-end data science pipelines Gather, clean, and preprocess data from various sources Build, train, and evaluate machine learning models using appropriate algorithms Design and optimize prompts for large language models (LLMs) and other generative AI systems Develop solutions leveraging Agnetic GenAI architecture for business applications Deploy models to production environments and monitor their performance Collaborate with cross-functional teams to understand business requirements and deliver data-driven solutions Document processes, methodologies, and results Stay up-to-date with the latest trends and advancements in data science and machine learning Requirements Bachelor's degree in Computer Science, Statistics, Mathematics, or related field (Master's preferred) Minimum 3+ years of professional experience in data science or related roles Strong proficiency in Python and data science libraries (pandas, numpy, scikit-learn, etc.) Experience with common machine learning algorithms, including: Decision Trees , Linear/Logistic Regression, Random Forest Other supervised and unsupervised learning methods Demonstrated experience with prompt engineering for LLMs and generative AI models In-depth knowledge of Agentic GenAI architecture and applications Knowledge of deep learning frameworks (TensorFlow, PyTorch) Ability to build APIs using Flask, Django, or FastAPI Familiarity with MLOps practices and tools (MLflow, Kubeflow, etc.) Experience with cloud platforms (AWS, GCP, Azure) Strong analytical and problem-solving skills Excellent communication skills and ability to explain complex concepts to non-technical stakeholders