Job Title: Data Scientist

Employment Type:

Full-time

Education:

Not specified

Experience:

2+ years of hands-on experience in Data Science, Machine Learning, and production ML systems

About Smart Node:

Smart Node is one of India’s leading brands in wireless home automation, transforming homes, offices, and hotels into smart spaces. With over 8 years of innovation, we are on a mission to simplify lives through cutting-edge automation technology made in India.

Join our passionate and fast-growing team to be part of the next big revolution in smart living.

About the Role:

We're looking for a Data Scientist with 2–4 years of hands-on experience to lead and drive data-driven initiatives across Smart Node’s ecosystem.

You'll own data science solutions end-to-end — from problem formulation and statistical analysis to machine learning model development, deployment, monitoring, and productionization. You'll work closely with Sales, Operations, Supply

Chain, Customer Experience, firmware, cloud, and hardware teams to transform raw IoT telemetry, ERP workflows,

and user interactions into scalable, production-grade intelligence.

The role also involves mentoring junior data scientists/analysts, maintaining code quality, designing robust architectures, and working directly with business leaders to translate business goals into technical solutions.

Key Responsibilities:

Own data science projects from problem formulation through production deployment

Act as the technical point of contact for data science initiatives

Review code, promote modular coding standards, and design robust system architectures

Mentor junior data scientists and analysts

Collaborate with Sales, HR, Finance, Operations, and other business teams to translate business requirements into technical roadmaps

Deploy machine learning models into production using scalable microservices such as FastAPI and Flask

Implement monitoring for model performance, drift, latency, and reliability

Work with cloud and data engineering teams to build and maintain ETL pipelines

Integrate data from mobile applications, cloud infrastructure, ERP databases, and IoT systems

Support the development of high-throughput real-time dashboards for hardware health,



operational bottlenecks,

and enterprise KPIs

Follow production-grade coding, deployment, version control, and documentation practices

Build time-series predictive demand models for demand and inventory optimization

Develop lead scoring and churn prediction models to improve sales conversion and customer lifetime value

Build failure forecasting and predictive maintenance models using streaming IoT device data such as heartbeat logs and MQTT payloads

Design and integrate production-grade LLM applications for automated support and operational text classification

Work with firmware, cloud, and hardware teams to develop intelligence from IoT telemetry and device data

Machine Learning & AI Solutions

Productionization, MLOps & Architecture

Technical Leadership & Team Guidance

Edge AI deployment using TensorFlow Lite or ONNX Runtime

Experience with IoT protocols and streaming technologies such as MQTT, WebSockets, Kafka, or Kinesis

Experience with stream processing for real-time IoT data

Experience developing or integrating voice AI systems, including Speech-to-Text, Whisper, Alexa, or Google

Assistant

Experience with workflow and pipeline orchestration tools such as Airflow, Prefect, or Dagster

Experience deploying ML models on AWS, GCP, or Azure

Experience with AWS services such as EC2, S3, SageMaker, or Lambda

Hands-on experience with BI tools such as Power BI, Tableau, or Apache Superset

Why Join Us?

Preferred / Good-to-Have Skills:

Who Can Apply (Ideal Backgrounds):

● 2–4 years of hands-on experience building, deploying, and maintaining production ML models

Strong production-level Python skills with knowledge of OOP, design patterns, and profiling

Strong command of Pandas, NumPy, Scikit-learn, XGBoost, and LightGBM

Strong experience developing REST APIs using FastAPI, Flask, or Django





Good understanding of Docker and microservices architecture

Advanced SQL skills including data modelling, window functions, and handling structured and unstructured datasets

Practical experience with PyTorch or TensorFlow

Hands-on experience with NLP workflows and Hugging Face Transformers

Experience integrating Generative AI APIs and vector databases into production applications

Practical understanding of Computer Vision pipelines using technologies such as OpenCV, YOLO, or ResNet

Familiarity with MLOps practices and tools such as MLflow, DVC, Git, and Docke

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https://smartnode.in/

Be part of a fast-growing, innovation-driven smart automation company

Work on real-world AI, ML, IoT, and data-driven products

Opportunity to build production-grade ML solutions across Sales, Operations, Supply Chain, Customer

Experience, and IoT

Work closely with firmware, cloud, hardware, and business teams

Chance to take technical ownership and mentor junior team members

Exposure to large-scale IoT telemetry, ERP, mobile application, and enterprise data

Opportunity to contribute to the next generation of smart home technology

2–4 years of hands-on experience building, deploying, and maintaining production ML models

Solid production-level Python skills with knowledge of OOP, design patterns, and profiling

Strong command of Pandas, NumPy, Scikit-learn, XGBoost, and LightGBM

Strong experience developing REST APIs using FastAPI, Flask, or Django

Good understanding of Docker and microservices architecture

Advanced SQL skills including data modelling, window functions, and handling structured and unstructured datasets

Practical experience with PyTorch or TensorFlow

Hands-on experience with NLP workflows and Hugging Face Transformers

Experience integrating Generative AI APIs and vector databases into production applications

Practical understanding of Computer Vision pipelines using technologies such as OpenCV, YOLO, or ResNet

- Familiarity with MLOps practices and tools such as MLflow, DVC, Git, and Docker

📌 Data Scientist (On Site) - Vadodara, Gujarat
🏢 Smart Node
📍 Vadodara