Data Engineer

Job Title: Python Backend Engineer (Full-time)

Location: Gurgaon, Onsite

Working Days: 5 days

Experience Required: 4+ Years

Interview: Screening and Face-to-face Interview

Job Summary

We are looking for a Python Backend Engineer with strong experience in FastAPI/Django and hands-on exposure to MLOps and LLMOps. You will work on building APIs, deploying ML/LLM models, and enabling intelligent systems using modern AI tools and frameworks.

Responsibilities

• Build and maintain scalable backend systems using Python, FastAPI, or Django
• Deploy and manage ML models (e.g., OpenCV, scikit-learn) and LLMs in production
• Develop APIs for ML/LLM inference and support RAG pipelines
• Implement model versioning, CI/CD, and monitoring for production use
• Collaborate with AI teams to integrate models into applications

Skills Required

• Strong Python backend development (FastAPI/Django)
• Experience with ML libraries: scikit-learn, OpenCV, NumPy, Pandas
• MLOps tools: MLflow, DVC, Airflow, Docker, Kubernetes
• LLMOps tools: LangChain, LlamaIndex, RAG pipelines, FAISS, Pinecone
• Integration experience with OpenAI, Hugging Face, or other LLM APIs
• Familiarity with CI/CD tools (GitHub Actions, Jenkins)

We are building cutting-edge AI products in the Construction Tech space – transforming how General Contractors, Estimators, and Project Managers manage bids, RFIs, and scope gaps. Our platform integrates AI Agents, voice automation, and vision systems to reduce hours of manual work and unlock new efficiencies for construction teams.

Joining us means you will be part of a lean, high-impact team working on production-ready AI workflows that touch real projects in the field.

Role Overview

We are seeking a part-time consultant (10–15 hours/week) with strong Backend development skills in Python (backend APIs) and ReactJS (frontend UI). You will work closely with the founding team to design, develop, and deploy features across the stack, directly contributing to AI-driven modules like:

Key Responsibilities

• Build and maintain modular Python APIs (FastAPI/Flask) with clean architecture.
• You must have at least 24 hours monthly backend Python expertise (excluding training, any Internships)
• We are ONLY looking for Backend Developers, Python-based Data Science, Analyst Role are not a match.
• Integrate AI services (OpenAI, LangChain, OCR/vision libraries) into production flows.
• Work with AWS services (Lambda, S3, RDS/Postgres, CloudWatch) for deployment.
• Collaborate with founders to convert fuzzy product ideas into technical deliverables.
• Ensure production readiness: logging, CI/CD pipelines, error handling, and test coverage.

Part-Time Eligibility Check -

• This is a fixed monthly paid role - NOT hourly
• We are a funded startup, and by compliance, Payments are generally prorated to your current monthly drawings (No negotiations on it)
• You should have 2-3 hours per day to code
• You should be a pro in AI-based Coding. We ship code really fast.
• You need to know Tools Like ChatGPT to generate solutions (Not Code) - use of the Cursor to build those solutions. Job ID 319083
• You will be assigned an independent task every week - we run 2 weeks of sprints
• I read the requirements, and I'm okay to proceed (Removing Spam applications).

We're seeking an AI/ML Engineer to join our team-

As an AI/ML Engineer, you will be responsible for designing, developing, and implementing artificial intelligence (AI) and machine learning (ML) solutions to solve real world business problems. You will work closely with cross-functional teams, including data scientists, software engineers, and product managers, to deploy and integrate Applied AI/ML solutions into the products that are being built at NonStop. Your role will involve researching cutting-edge algorithms, data processing techniques, and implementing scalable solutions to drive innovation and improve the overall user experience.

Responsibilities

• Applied AI/ML engineering; Building engineering solutions on top of the AI/ML tooling available in the industry today. Eg: Engineering APIs around OpenAI
• AI/ML Model Development: Design, develop, and implement machine learning models and algorithms that address specific business challenges, such as natural language processing, computer vision, recommendation systems, anomaly detection, etc.
• Data Preprocessing and Feature Engineering: Cleanse, preprocess, and transform raw data into suitable formats for training and testing AI/ML models. Perform feature engineering to extract relevant features from the data
• Model Training and Evaluation: Train and validate AI/ML models using diverse datasets to achieve optimal performance. Employ appropriate evaluation metrics to assess model accuracy, precision, recall, and other relevant metrics
• Data Visualization: Create clear and insightful data visualizations to aid in understanding data patterns, model behavior, and performance metrics
• Deployment and Integration: Collaborate with software engineers and DevOps teams to deploy AI/ML models into production environments and integrate them into various applications and systems
• Data Security and Privacy: Ensure compliance with data privacy regulations and implement security measures to protect sensitive information used in AI/ML processes
• Continuous Learning: Stay updated with the latest advancements in AI/ML research, tools, and technologies, and apply them to improve existing models and develop novel solutions
• Documentation: Maintain detailed documentation of the AI/ML development process, including code, models, algorithms, and methodologies for easy understanding and future reference

Requirements

• Bachelor's, Master's or PhD in Computer Science, Data Science, Machine Learning, or a related field. Advanced degrees or certifications in AI/ML are a plus
• Proven experience as an AI/ML Engineer, Data Scientist, or related role, ideally with a strong portfolio of AI/ML projects
• Proficiency in programming languages commonly used for AI/ML. Preferably Python
• Familiarity with popular AI/ML libraries and frameworks, such as TensorFlow, PyTorch, scikit-learn, etc.
• Familiarity with popular AI/ML Models such as GPT3, GPT4, Llama2, BERT etc.
• Strong understanding of machine learning algorithms, statistics, and data structures
• Experience with data preprocessing, data wrangling, and feature engineering
• Knowledge of deep learning architectures, neural networks, and transfer learning
• Familiarity with cloud platforms and services (e.g., AWS, Azure, Google Cloud) for scalable AI/ML deployment
• Solid understanding of software engineering principles and best practices for writing maintainable and scalable code
• Excellent analytical and problem-solving skills, with the ability to think critically and propose innovative solutions
• Effective communication skills to collaborate with cross-functional teams and present complex technical concepts to non-technical stakeholders

CTC: up to 20 LPA

Exp: 4 to 7 Years

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, or related field
• 4+ years of experience in software development
• Strong proficiency in Java with deep understanding of web technology stack
• Hands-on experience developing applications with Spring Boot framework
• Solid understanding of Python programming language with practical Flask framework experience
• Working knowledge of NATS server for messaging and streaming data
• Experience deploying and managing applications in Kubernetes
• Understanding of microservices architecture and RESTful API design
• Familiarity with containerization technologies (Docker)
• Experience with version control systems (Git)

Skills & Competencies

• Skills Java (Spring Boot, Spring Cloud, Spring Security)
•  
• Python (Flask, SQL Alchemy, REST APIs)
• NATS messaging patterns (pub/sub, request/reply, queue groups)
• Kubernetes (deployments, services, ingress, ConfigMaps, Secrets)
• Web technologies (HTTP, REST, WebSocket, gRPC)
• Container orchestration and management
• Soft Skills Problem-solving and analytical thinking

Requirements:

• Should be a go-getter, ready to shoulder more responsibilities, and shows enthusiasm and interest in work.

• Excellent core Python skills including threading, dictionary, OOPS Concept, Data structure, and Web service.

• Should have work experience on the following stacks/libraries: Flask

• Familiarity with some ORM (Object Relational Mapper) libraries

• Able to integrate multiple data sources and databases into one system

• Understanding of the threading limitations of Python, and multi-process architecture Familiarity with event-driven programming in Python

• Basic understanding of front-end technologies, such as Angular, JavaScript, HTML5 and CSS3

• Writing reusable, testable, and efficient code

• Design and implementation of low-latency, high-availability, and performant applications

• Understanding of accessibility and security compliance

• Experience in both RDBMS(MySQL), NoSQL databases (MongoDB, HDFS, HIVE etc) or in-memory caching technologies such as ehcache etc is preferable.

• Write lots of bug-free, efficient, scalable and reusable code.
• Write unit tests and take responsibility for the quality of your own code.
• Coach, encourage and mentor your fellow software developers to do the same.
• Consult with product owners to define, scope and plan new features.
• Test, evaluate and recommend technologies to improve the overall product.
• Be a key participant in the Agile process.
• Produce excellent documentation.
• Undertake and implement processes for smoother and efficient deployment of code base
• Maintain code base as it grows bigger and scales

What we value

• 2-3 Years of experience building and shipping API’s using python based frameworks
• Proficiency with NoSql Databases (Elastic, Mongo) is a must
• Experience in working with Amazon Cloud Services like SNS, SQS, VPC, etc. is preferred
• Experience with databases migration and system re-architecture is valued
• Ability to write modular, reusable, and clean code
• Comfortable with ticket management and documentation

We are looking for a Backend Developer who has 4-6 years of experience in designing, developing, and implementing backend services using Python and Django.

- Responsibilities-

- Design highly scalable, testable code and follow Test Driven Development methodology 

- Able to write well-organized, modularised code with test cases.

- Contribute to the design and architecture of our backend APIs and deployment of microservices

- Ensure adherence to engineering best practices and maintain the overall quality of our codebase.

- Work with the product team to translate powerful ideas into everyday business value.

- Skills-

- Back-end programming language: Python

- Familiarity with Django or Flask framework

- Familiarity with AWS and Elastic Search

- Experience in SQL and NoSQL databases with an insight into various data modeling use cases

- Experience with system & unit testing

- Familiarity with containerized deployment

- Proficiency with Git

- Sound with data structures and algorithms and have a good understanding of design patterns, software architectures

At Cityflo, we are solving the problem of commuting to the office which affects employees in big, populated Indian cities every day. Cityflo provides a bus experience like no other - we run premium AC buses for daily commuters. We’re changing the way urban Indians commute and enabling everyone to reclaim hours of their time every day. Before the imposed lockdown due to coronavirus, we were serving about 7500 commuters per day. We plan to scale to 5,00,000 per day in the next 4 years in a profitable and sustainable manner.

You can read more about our engineering and culture on our blog: https://blog.cityflo.com/tag/engineering/" target="_blank">https://blog.cityflo.com/tag/engineering/

Role & Requirements

• 2+ year experience in application development
• ability to write efficient SQL queries and design schemas for relational databases
• good knowledge of operating systems and networking concepts
• experience in using and understanding code from Open Source
• experience with implementing best software engineering practices like version control with git, code reviews, writing unit-tests, writing readable code
• experience with Python and Django is a plus.
• inclination towards researching new technologies and adapt them to solve challenges we face

We look for engineers who

• Are committed to their growth and learning
• care about working in and building a strong engineering culture
• want to take significant ownership and decision making power
• want to make an impact in the real world while working with a great team in a hyper-growth environment