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Senior Data Scientist - Generative AI

Senior Data Scientist - Generative AI

Follex TechnologyDelhi, IN
26 days ago
Job description

Position : Sr. Data Scientist

Experience : 7+ Years

Location : Gurgaon

Mode of working : Hybrid (3 days work from office)

Notice Period : Immediate Joiner

Key Responsibilities :

  • Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
  • Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
  • Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
  • Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
  • Collaborate with data engineers to build scalable data pipelines and feature stores.
  • Perform advanced feature engineering and selection to improve model accuracy and robustness.
  • Work with large-scale structured and unstructured datasets using distributed computing frameworks.
  • Translate business problems into data science solutions and communicate findings to stakeholders.
  • Present insights and recommendations through compelling storytelling and visualization.
  • Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications :

  • 7+ years of experience in data science, machine learning, and AI.
  • Strong academic background in Computer Science, Statistics, Mathematics, or related field (Masters or PhD preferred).
  • Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
  • Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
  • Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
  • Familiarity with cloud platforms (Azure preferred, AWS / GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
  • Solid understanding of data structures, algorithms, and software engineering Skills :
  • Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
  • Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
  • Contributions to open-source projects, publications, or patents in AI / ML.

    • Soft Skills :

  • Strong analytical and problem-solving skills.
  • Excellent communication and stakeholder engagement abilities.
  • Ability to work independently and collaboratively in cross-functional teams.
  • Passion for continuous learning and innovation.

    • (ref : hirist.tech)

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