Data Science & Generative AI Engineer (Kolkata)

Job Overview We 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. Note Applicants 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. Key Responsibilities - Apply advanced statistical methods, machine learning, and Gen AI techniques to solve complex business problems. - Build and deploy Gen AI solutions such as intelligent document processing, automated report generation, and AI-powered analytics. - Develop and optimize RAG pipelines, embeddings, and LLM-based workflows for data-centric applications. - Perform exploratory data analysis (EDA), feature engineering, and predictive modeling on large-scale datasets. - Design prompt engineering strategies and fine-tune LLMs for domain-specific data science tasks. - Create interactive dashboards, visualizations, and data stories for stakeholders and leadership. - Collaborate with engineering and product teams to operationalize data science models and Gen AI solutions. - Stay current with emerging trends in Gen AI, NLP, and advanced analytics to drive innovation. Must-Have Skills - Strong expertise in Data Science statistical modeling, hypothesis testing, regression, clustering, and classification. - Hands-on experience with Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn). - Working knowledge of Generative AI, Large Language Models (LLMs), and NLP techniques. - Experience with RAG pipelines, embeddings, vector databases, and prompt engineering. - Proficiency in SQL and experience working with structured and unstructured data. - Experience with data visualization tools (Power BI, Tableau, or Plotly). - Familiarity with cloud-based AI/ML services (Azure AI, AWS SageMaker, or GCP Vertex AI). Valuable-to-Have Skills - Experience with LangChain, LlamaIndex, or similar Gen AI orchestration frameworks. - Knowledge of Deep Learning frameworks (TensorFlow, PyTorch) for advanced modeling. - Exposure to big data technologies (Spark, Databricks, or Hadoop). - Experience with A/B testing, experimentation design, and causal inference. Job Overview We 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. Note Applicants 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. Key Responsibilities - Apply advanced statistical methods, machine learning, and Gen AI techniques to solve complex business problems. - Build and deploy Gen AI solutions such as intelligent document processing, automated report generation, and AI-powered analytics. - Develop and optimize RAG pipelines, embeddings, and LLM-based workflows for data-centric applications. - Perform exploratory data analysis (EDA), feature engineering, and predictive modeling on large-scale datasets. - Design prompt engineering strategies and fine-tune LLMs for domain-specific data science tasks. - Create interactive dashboards, visualizations, and data stories for stakeholders and leadership. - Collaborate with engineering and product teams to operationalize data science models and Gen AI solutions. - Stay current with emerging trends in Gen AI, NLP, and advanced analytics to drive innovation. Must-Have Skills - Strong expertise in Data Science statistical modeling, hypothesis testing, regression, clustering, and classification. - Hands-on experience with Python and data science libraries (Pandas, NumPy, Scikit-learn, Matplotlib, Seaborn). - Working knowledge of Generative AI, Large Language Models (LLMs), and NLP techniques. - Experience with RAG pipelines, embeddings, vector databases, and prompt engineering. - Proficiency in SQL and experience working with structured and unstructured data. - Experience with data visualization tools (Power BI, Tableau, or Plotly). - Familiarity with cloud-based AI/ML services (Azure AI, AWS SageMaker, or GCP Vertex AI). Valuable-to-Have Skills - Experience with LangChain, LlamaIndex, or similar Gen AI orchestration frameworks. - Knowledge of Deep Learning frameworks (TensorFlow, PyTorch) for advanced modeling. - Exposure to big data technologies (Spark, Databricks, or Hadoop). - Experience with A/B testing, experimentation design, and causal infer