Backend Engineer - PYTHON

Job Title : Python Django Developer

Location : Gurgaon (On-site)

Work Mode : 6 Days a Week (Work from Office)

Experience Level : 3+ Years

About the Role :

We are seeking a highly skilled and motivated Python Django Developer to join our team in Gurgaon. This role requires a hands-on developer with expertise in building scalable web applications and APIs using Python and Django. The ideal candidate will have a strong background in relational databases, message brokers, and distributed systems.

Key Responsibilities :

• Design, develop, and maintain robust, scalable, and secure web applications using Python and Django.
• Build and optimize back-end services, RESTful APIs, and integrations with third-party tools.
• Implement and maintain asynchronous task processing using Celery and RabbitMQ.
• Work with PostgreSQL to design and optimize database schemas and queries.
• Utilize Redis and Kafka for caching, data streaming, and other distributed system needs.
• Debug and troubleshoot issues across the application stack.
• Collaborate with cross-functional teams to gather requirements and deliver solutions.
• Ensure code quality through comprehensive testing, code reviews, and adherence to best practices.

Required Skills and Qualifications:

Technical Expertise:

• Proficiency in Python and strong experience with Django framework.
• Hands-on experience with PostgreSQL for database design and management.
• Familiarity with RabbitMQ, Celery, and Redis for asynchronous processing and caching.
• Experience with Kafka for building real-time data pipelines and event-driven architectures.

Other Skills:

• Strong understanding of software development best practices and design patterns.
• Proficiency in writing efficient, reusable, and testable code.
• Good knowledge of Linux/Unix environments.
• Familiarity with Docker and containerized deployments is a plus.

Soft Skills:

• Excellent problem-solving and analytical skills.
• Good communication and teamwork abilities.
• Ability to work independently and in a collaborative team environment.

Preferred Qualifications:

• Experience in microservices architecture.
• Exposure to DevOps tools and practices.
• Knowledge of front-end technologies like React or Angular is a bonus.

Role Overview:

The AI Research Intern will focus on natural language processing (NLP) and working with large language models (LLMs). They will assist in refining and testing the retrieval-augmented generation (RAG) system for CopilotGTM.

Key Responsibilities:

• Assist in developing and refining NLP models to answer customer queries.
• Research and implement improvements to minimize hallucinations in the LLM.
• Test RAG model configurations and provide feedback to improve accuracy.
• Work with the engineering team to improve real-time product recommendations and responses.
• Analyze datasets and fine-tune models for specific use cases (e.g., sales, compliance).

Skills Required:

• Strong understanding of NLP and familiarity with LLMs (GPT, BERT, etc.).
• Basic coding experience in Python.
• Knowledge of data handling, data processing, and model training.
• Problem-solving ability and eagerness to experiment with new techniques.

Preferred:

• Experience with libraries like Hugging Face, PyTorch, or TensorFlow.
• Familiarity with retrieval-augmented generation (RAG) systems.

Job Description:

Candidate must have 2 to 5-years of experience in various phase of development of a python-based application or API development.

Requirements:

Must Have:  Strong expertise in PYTHON and its built-in data structures, developing API using flask or fastapi, data wrangling using standard python frameworks like pandas, NumPy etc., integration of various applications (third party or inhouse) with python.

Good to Have: Deployment using Nginx, GUnicorn, IIS, docker and Kubernetes etc. Good understanding of optimization solutions like differential evolution. Hands on experience with python packages like Scipy.  Tkinter to make python-based applications.

Roles and Responsibilities:

• Understanding/gathering the requirements from stakeholder, formulating the problem, and leveraging AI/ML to solve the business problems.
• Integration of third party or in house application with python solution.
• Working on Deployment and optimization of various engineering problems using Numerical/Constraint optimization frameworks such as Differential Evolution and deploy a web-based API using Flask and Nginx/IIS.
• Unit testing of various python modules developed and testing of the API.

Role Responsibilities:

● Analyze business requirements

● Develop and customize Odoo modules

●

Integrate Odoo with 3rd Party systems

● Troubleshooting

● Share ideas on how to continuously improve the system and way of working

Requirements:

The desired candidate should have below skills:

● Working knowledge of Python with the Odoo-framework (minimum 3 years experience)

● Should be familiar with the latest versions of Odoo.

● Have experience with Object Oriented programming.

● Have knowledge of PostgreSQL.

● Should have experience with Python unit testing.

● Have experience with setup of interfaces between different systems using API’s.

● Should be familiar with Agile and Scrum methodology.

● Have experience with collaboration tools like Git, Buildout, Jira, Confluence, etc

● Have experience with Linux (Ubuntu)

Our goal

We are reinventing the future of MLOps. Censius Observability platform enables businesses to gain greater visibility into how their AI makes decisions to understand it better. We enable explanations of predictions, continuous monitoring of drifts, and assessing fairness in the real world. (TLDR — build the best ML monitoring tool)

The culture

We believe in constantly iterating and improving our team culture, just like our product. We have found a good balance between async and sync work — default is still Notion docs over meetings, but at the same time, we recognize that as an early-stage startup brainstorming together over calls leads to results faster. If you enjoy taking ownership, moving quickly, and writing docs, you will fit right in.

The role:

Our engineering team is growing and we are looking to bring on board a senior software engineer who can help us transition to the next phase of the company. As we roll out our platform to customers, you will be pivotal in refining our system architecture, ensuring the various tech stacks play well with each other, and smoothening the DevOps process.

On the platform, we use Python (ML-related jobs), Golang (core infrastructure), and NodeJS (user-facing). The platform is 100% cloud-native and we use Envoy as a proxy (eventually will lead to service-mesh architecture).

By joining our team, you will get the exposure to working across a swath of modern technologies while building an enterprise-grade ML platform in the most promising area.

Responsibilities

• Be the bridge between engineering and product teams. Understand long-term product roadmap and architect a system design that will scale with our plans.
• Take ownership of converting product insights into detailed engineering requirements. Break these down into smaller tasks and work with the team to plan and execute sprints.
• Author high-quality, highly-performance, and unit-tested code running on a distributed environment using containers.
• Continually evaluate and improve DevOps processes for a cloud-native codebase.
• Review PRs, mentor others and proactively take initiatives to improve our team's shipping velocity.
• Leverage your industry experience to champion engineering best practices within the organization.

Qualifications

Work Experience

• 5+ years of industry experience (3+ years in a senior engineering role) preferably with some exposure in leading remote development teams in the past.
• Proven track record building large-scale, high-throughput, low-latency production systems with at least 3+ years working with customers, architecting solutions, and delivering end-to-end products.
• Fluency in writing production-grade Go or Python in a microservice architecture with containers/VMs for over 5+ years.
• 2+ years of DevOps experience (Kubernetes, Docker, Helm and public cloud APIs)
• Worked with relational (SQL) as well as non-relational databases (Mongo or Couch) in a production environment.
• (Bonus: worked with big data in data lakes/warehouses).
• (Bonus: built an end-to-end ML pipeline)

Skills

• Strong documentation skills. As a remote team, we heavily rely on elaborate documentation for everything we are working on.
• Ability to motivate, mentor, and lead others (we have a flat team structure, but the team would rely upon you to make important decisions)
• Strong independent contributor as well as a team player.
• Working knowledge of ML and familiarity with concepts of MLOps

Benefits

• Competitive Salary 💸
• Work Remotely 🌎
• Health insurance 🏥
• Unlimited Time Off ⏰
• Support for continual learning (free books and online courses) 📚
• Reimbursement for streaming services (think Netflix) 🎥
• Reimbursement for gym or physical activity of your choice 🏋🏽‍♀️
• Flex hours 💪
• Leveling Up Opportunities 🌱

You will excel in this role if

• You have a product mindset. You understand, care about, and can relate to our customers.
• You take ownership, collaborate, and follow through to the very end.
• You love solving difficult problems, stand your ground, and get what you want from engineers.
• Resonate with our core values of innovation, curiosity, accountability, trust, fun, and social good.

• You will design and develop large scale distributed services.
• You will analyze and improve the efficiency, scalability, stability, and security of the platform as a whole.
• You will act as the primary owner of one or more components while driving innovation in your area of ownership.
• You will proactively research & evaluate new tools, technologies, and techniques to improve the value of the system.
• You will work with engineering leadership in solving and architecting solutions for challenging or complex development issues.
• You will work independently and handle dependencies with very minimal oversight.
• You will take initiatives in developing and maintaining integrations of best practices within the back-end.
• You will help identify systemic issues, performance bottlenecks and work on design/architect improvements.

• You have 2+ years of experience in product software development.
• You have designed and scaled up the system.
• You have a strong understanding of Data Structures and Algorithms.
• You are an incessant problem solver and tougher the problem gets, more fun you have.
• You have strong command in any one or more of the following languages: Python.
• You understand the business impact of your decisions.