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Oraczen

I'm a Project Onboarding Specialist at ORACZEN

Job Title: Data ScientistLocation: Hyderabad (Hybrid/Remote) Experience Required: 2–4 Years<h3>About Oraczen</h3>Oraczen is at the forefront of Generative AI, dedicated to creating cutting-edge, AI-driven solutions that transform industries. We believe in the power of data and its ability to drive smarter decisions, optimize models, and unlock new business opportunities. Join our mission-driven team that thrives on innovation, collaboration, and data excellence.<h3>Role Overview</h3>We are seeking a passionate and skilled Data Scientist with 2–4 years of hands-on experience in AI, ML, and advanced analytics. You will work on a range of projects including predictive modeling, NLP, computer vision, and generative AI applications. This role offers an opportunity to build end-to-end machine learning pipelines, work with large-scale datasets, and collaborate across disciplines to bring intelligent systems to life.<h3>Key Responsibilities</h3><ul><li>Design, develop, and deploy machine learning and AI models across structured and unstructured datasets (text, images; audio/video is a plus).</li><li>Lead data preprocessing, feature engineering, and data enrichment workflows for optimal model performance.</li><li>Apply statistical and econometric methods (e.g., SARIMAX, regression) to derive actionable insights.</li><li>Develop classification, clustering, and anomaly detection models using techniques like Random Forest, XGBoost, SVM, K-means, DBSCAN.</li><li>Implement dimensionality reduction and visualization techniques (PCA, t-SNE, UMAP).</li><li>Build and fine-tune NLP solutions (e.g., sentiment analysis, topic modeling, text classification).</li><li>Contribute to generative AI model development, prompt engineering, or vector search integrations.</li><li>Create dashboards and visualizations (using Tableau, Power BI, or Matplotlib/Seaborn) to communicate results effectively.</li><li>Collaborate with engineers and business stakeholders to integrate AI-driven solutions into production.</li><li>Conduct A/B testing and model validation, track performance metrics, and continuously optimize models.</li></ul><h3>Required Qualifications &amp; Skills</h3><ul><li>Bachelor's or Master’s in Computer Science, Data Science, Statistics, or a related field.</li><li>2–4 years of hands-on experience in data science, AI, or ML projects.</li><li>Proficient in Python, SQL, and familiar with R.</li><li>Solid experience with machine learning libraries (e.g., Scikit-learn, XGBoost, TensorFlow, PyTorch).</li><li>Expertise in EDA, feature engineering, model evaluation, and interpretability techniques.</li><li>Exposure to vector databases (e.g., FAISS, Pinecone) and embedding-based search or retrieval systems.</li><li>Familiarity with modern NLP tools (spaCy, Hugging Face, LangChain) and transformer models is a strong plus.</li><li>Experience with statistical modeling, time series forecasting, and causal inference.</li><li>Good understanding of software development practices, version control, and reproducibility.</li><li>Excellent communication and stakeholder collaboration skills.</li><li>Self-starter with a problem-solving mindset and attention to detail.</li></ul><h3>Nice to Have</h3><ul><li>Experience working with LLMs, Generative AI, or multimodal AI.</li><li>Contributions to open-source projects or published work in ML/AI.</li><li>Familiarity with cloud services (AWS/GCP/Azure) and MLops tools.</li></ul><h3>Why Join Us?</h3><ul><li>Work on real-world, high-impact AI applications.</li><li>Thrive in a diverse, inclusive, and innovation-driven team.</li><li>Mentorship, growth, and leadership opportunities.</li><li>Competitive salary, performance incentives, and learning resources.</li></ul><h3>Our Commitment to Inclusion</h3>At Oraczen, we are proud to be an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. We evaluate candidates based on talent and potential, not background or identity.