Senior Data Scientist - Applied Machine Learning

100% remote

Stipend :25k

Ppo :6 LPA

Core Requirements (Data Science / Applied ML Focus)

Strong experience writing production-quality Python code for data science, machine learning, and analytics use cases.

Hands-on experience in Data Science, Applied Machine Learning, or ML Engineering roles.

Solid understanding of machine learning workflows, feature engineering, model training, evaluation, and deployment.

Experience working with structured and unstructured data using SQL and NoSQL databases.

Familiarity with ML lifecycle management tools such as MLflow and experiment tracking frameworks.

Experience building and maintaining data-driven pipelines for batch and near-real-time analytics.

Strong knowledge of statistical analysis, predictive modeling, and data-driven decision making.

Experience applying machine learning techniques at scale for real-world business problems.

Exposure to cloud-based ML platforms such as SageMaker, Vertex AI, Azure AI Foundry, or Databricks.

Demonstrated progressive experience in data science, machine learning, or analytics roles.

Contributions to research projects, open-source initiatives, or participation in Kaggle competitions is a plus.

Highly Desirable Experience (GenAI / Advanced Data Science)

3-6 months of experience working with Retrieval-Augmented Generation (RAG) pipelines, vector databases (FAISS, Pinecone, Weaviate, etc.), and prompt engineering.

Hands-on experience fine-tuning transformer-based models for domain-specific applications.

Experience building AI agents capable of task orchestration and tool usage (e.g., LangGraph, Auto-GPT, AgentOps).

Practical exposure to Generative AI use cases such as summarization, search, recommendation, or conversational AI.

Mandatory Registeration: https://quickhyre.ai/jobs/637110e0-4bcc-4fc3-b991-b875dc7ba77f