Senior Data Scientist - Generative AI

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 principles.

Preferred Skills :

- Experience in domains such as finance, healthcare, retail, or enterprise SaaS.

- Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills :

- Excellent communication and stakeholder engagement abilities.

- Ability to work independently and collaboratively in cross-functional teams.

- Passion for continuous learning and innovation.