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Data Scientist
Stealth StartupGhaziabad, IN9 days ago
Job descriptionDesign and implement predictive and generative models using : Regression, classification, clustering LSTM, Transformers (e.g., BERT, T5, GPT-based models) Fine-tuning and prompt engineering for LLMs Build retrieval-augmented generation (RAG) pipelines using LangChain or equivalent agentic frameworks. Develop and deploy MCP (Model Context Protocol) servers that coordinate AI tools, prompts, and agent workflows. Implement tool-calling, function-chaining, and human-in-the-loop validation in agentic systems. Build scalable APIs that serve model outputs, streaming responses, or vector search results from internal knowledge bases. Own full ML pipeline — from experimentation to deployment — using Vertex AI , Databricks , or AWS SageMaker . Integrate model monitoring, feedback loops, and rollback strategies into production. Tune hyperparameters, optimize latency, and reduce model drift using continuous evaluation and A / B testing. Establish benchmarks and experiment tracking for various modeling approaches. Translate technical insights into actionable business recommendations. Present results to executives and cross-functional teams using clear, visual narratives and interpretable metrics. Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Applied Mathematics, or related fields. Minimum 5 years of professional experience in data science, machine learning, or AI research & development. Strong exposure to both ML modeling and LLM-driven AI application development . Strong problem-solving and structured thinking for ambiguous challenges. Ability to design scalable AI architectures , not just throw models at data. Comfortable working across code, cloud, and concept — from model design to business impact. Team player with mentoring capability for junior engineers or data scientists. Build state-of-the-art agentic AI solutions in a fast-growing stealth startup. Work on complex multi-agent LLM orchestration problems rarely solved in the wild. Join a hands-on, high-performance culture with direct influence on product and platform decisions . Contribute to real-world AI that redefines how people interact with urban environments. Technical Deep-Dive Interview System Design or Agent Architecture Case
Job Title : Data Scientist
Location : Remote
Team : AI & Data Science
Engagement : Full-Time
Industry : Real Estate Tech / Smart Infrastructure
Seniority : Mid to Senior-Level
About Us
We are a stealth-mode startup at the forefront of real estate transformation — where physical infrastructure meets digital intelligence. We’re on a mission to create autonomous, data-driven, and adaptive living environments by embedding AI across the value chain of urban development.
Our work spans intelligent agent ecosystems , generative AI platforms , and multi-modal ML solutions . As we scale our AI capabilities, we’re seeking a Data Scientist who not only brings modeling expertise but also understands modern AI engineering stacks like LangChain , transformers , and MCP-based orchestration .
Job Objective
This role combines classic data science modeling with modern AI engineering. You will help design, prototype, and productionize ML / AI pipelines across various domains — from predictive modeling to conversational AI agents. Your work will directly impact strategic decisions, operational automation, and customer experience across the product ecosystem.
Key Responsibilities
Data Exploration & Business Contextualization
- Perform advanced exploratory data analysis (EDA) to uncover insights, detect anomalies, and guide modeling strategy.
- Collaborate with product and domain leads to scope high-impact ML use cases and identify key success metrics.
Machine Learning & Generative AI Development
AI Engineering & MCP Server Design
ML Lifecycle & MLOps
Optimization & Experimentation
Communication & Reporting
Qualifications & Experience
Education
Experience
Behavioral Competencies
Why Join Us?
Application Process
Shortlisted candidates will go through :
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Data Scientist • Ghaziabad, IN
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