Data Scientist- Gen AI and ML

1 day ago

New Delhi, India Zehn Solutions Full time

Job Title:Data Scientist – GenAI & Machine Learning Experience Required:3+ YearsLocation:NagpurAbout the Role:We are seeking a data scientist with around 3 years of experience in applied machine learning, data analytics, and GenAI solutions. The ideal candidate will have a strong foundation in traditional ML along with hands-on exposure to LLMs (Large Language Models), Retrieval-Augmented Generation (RAG) architectures, and prompt engineering. You’ll work on end-to-end data projects — from data collection and model training to deploying AI-driven applications that enhance decision-making and automation.Key Responsibilities: ● Analyze large datasets to generate actionable business insights. ● Design, train, and optimize ML and GenAI models for tasks such as text generation, summarization, classification, and recommendation. ● Develop and maintain RAG pipelines, integrating vector databases and retrieval layers to improve model accuracy and contextual awareness. ● Implement and fine-tune LLMs using frameworks like LangChain, LlamaIndex, or Hugging Face Transformers. ● Build data pipelines and automation workflows for scalable model deployment. ● Collaborate with engineering teams to operationalize AI models using cloud services (AWS SageMaker, Azure ML, GCP Vertex AI). ● Perform exploratory data analysis (EDA), feature engineering, and model evaluation using statistical and ML methods. ● Visualize data and insights through tools like Tableau, Power BI, or Plotly Dash. ● Document experiments, performance metrics, and maintain reproducibility of models. ● Stay updated on the latest developments in GenAI, LLMs, and applied ML research.Required Skills and Qualifications: ● Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field. ● 3+ years of experience as a Data Scientist, ML Engineer, or AI Researcher. ● Strong proficiency in Python (pandas, numpy, scikit-learn, matplotlib, seaborn) ● Solid understanding of machine learning algorithms, model evaluation, and data preprocessing. ● Experience building or fine-tuning LLMs and implementing RAG pipelines. ● Familiarity with GenAI frameworks (LangChain, LlamaIndex, OpenAI API, Hugging Face). ● Experience with SQL and working with large, real-world datasets. ● Exposure to cloud platforms (AWS, Azure, or GCP) and containerization (Docker, Kubernetes). ● Experience with version control (Git) and collaborative workflows.Preferred Qualifications: ● Knowledge of vector databases (Pinecone, FAISS, Weaviate, ChromaDB). ● Experience with MLOps tools (MLflow, DVC, Kubeflow). ● Understanding of prompt engineering and context optimization for LLMs. ● Experience deploying chatbots, Q&A systems, or document intelligence solutions. ● Strong business understanding with the ability to connect AI outcomes to business impact.Soft Skills: ● Excellent analytical and problem-solving skills. ● Strong written and verbal communication for explaining technical concepts to non-technical teams. ● Ability to work independently and in cross-functional teams. ● Curiosity and passion for emerging AI technologies.

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