Data Scientist- Gen AI and ML

1 day ago

New Delhi, India Zehn Solutions Full time

Job Title: Data Scientist – GenAI & Machine LearningExperience 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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