Senior Data Scientist

Senior Data Scientist (with Generative AI Experience)

Location:

Company:

Open Positions:

Experience:

Key Skills

• Core Data Science

  :
• Advanced Statistics, Probability, Hypothesis Testing, and Predictive Modeling.
• Expertise in Machine Learning & Deep Learning (Regression, Classification, Clustering, Recommendation Systems, NLP).
• Strong data preparation and feature engineering skills.

• Programming

  : Proficiency in Python (Pandas, NumPy, Scikit-learn, PyTorch/TensorFlow).

• Generative AI

  : Recent hands-on experience with LLMs, Prompt Engineering, Fine-tuning, and Retrieval-Augmented Generation (RAG).

• Frameworks & Tools

  : Familiarity with LangChain, LangGraph, Hugging Face Transformers.

• Databases

  : Experience with Vector Databases (Pinecone, FAISS, Weaviate).

• Cloud Platforms

  : Azure (preferred), AWS or GCP exposure a plus.

• MLOps

  : Knowledge of model lifecycle management, CI/CD for ML, containerization (Docker/Kubernetes), and API deployment.

• Data Visualization

  : Experience with Matplotlib, Seaborn, Power BI, or Tableau.

Responsibilities

• Core Data Science

• Collect, clean, and analyze structured and unstructured data.
• Design and deploy ML/DL models for predictive analytics, customer insights, and process optimization.
• Perform statistical analysis and build data-driven solutions aligned with business needs.
• Develop dashboards and visual reports for stakeholders.

• Generative AI Applications

• Contribute to projects involving LLM-based applications such as chatbots, summarization, and intelligent assistants.
• Fine-tune pre-trained models for domain-specific requirements.
• Build RAG pipelines that integrate vector databases for context-aware responses.
• Apply prompt engineering and domain adaptation techniques to enhance LLM outputs.

• Integration & Deployment

• Deploy scalable ML and GenAI solutions using cloud infrastructure.
• Collaborate with engineering teams to integrate AI solutions with APIs, databases, and business workflows.

• Innovation & Knowledge Sharing

• Stay current with emerging trends in Data Science and Generative AI.
• Document solutions and contribute to team-wide learning.
• Ensure responsible and ethical AI practices across all deployments.