Gen AI + Data Science Specialist

Job Overview\nWe are looking for a Gen AI + Data Science Specialist who combines deep data science expertise with hands-on Generative AI skills. The ideal candidate will leverage statistical modeling, data analytics, and Gen AI technologies to derive actionable insights and build intelligent, data-driven AI solutions.\nNote\nApplicants should have hands-on experience in Gen AI + Python and knowledge of Large Language Models (LLMs), RAG pipelines, embeddings, and prompt engineering. Practical experience with AI-driven and GenAI applications is preferred.\nKey Responsibilities\nApply advanced statistical methods, machine learning, and Gen AI techniques to solve complex business problems.\nBuild and deploy Gen AI solutions such as intelligent document processing, automated report generation, and AI-powered analytics.\nDevelop and optimize RAG pipelines, embeddings, and LLM-based workflows for data-centric applications.\nPerform exploratory data analysis (EDA), feature engineering, and predictive modeling on large-scale datasets.\nDesign prompt engineering strategies and fine-tune LLMs for domain-specific data science tasks.\nCreate interactive dashboards, visualizations, and data stories for stakeholders and leadership.\nCollaborate with engineering and product teams to operationalize data science models and Gen AI solutions.\nStay current with emerging trends in Gen AI, NLP, and advanced analytics to drive innovation.\n'05; Must-Have Skills\nStrong expertise in Data Science — statistical modeling, hypothesis testing, regression, clustering, and classification.\nHands-on experience with Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn).\nWorking knowledge of Generative AI, Large Language Models (LLMs), and NLP techniques.\nExperience with RAG pipelines, embeddings, vector databases, and prompt engineering.\nProficiency in SQL and experience working with structured and unstructured data.\nExperience with data visualization tools (Power BI, Tableau, or Plotly).\nFamiliarity with cloud-based AI/ML services (Azure AI, AWS SageMaker, or GCP Vertex AI).\nGood-to-Have Skills\nExperience with LangChain, LlamaIndex, or similar Gen AI orchestration frameworks.\nKnowledge of Deep Learning frameworks (TensorFlow, PyTorch) for advanced modeling.\nExposure to big data technologies (Spark, Databricks, or Hadoop).\nExperience with A/B testing, experimentation design, and causal inference.