Python Developer

We are a dynamic and innovative technology company dedicated to delivering cutting-edge solutions that empower businesses and individuals. As we continue to grow and expand our offerings, we are seeking a coding fanatic, who is interested in working on and learning new technologies. 

Position - Backend developer 

Job type - Freelance or on contract 

Location - Remote 

Roles and Responsibilities:

• Plan,create and test REST APIs for back-end services such as authentication and authorization.
• Deploy and maintain backend systems on the cloud.
• Research and develop solutions for real life business problems.
• Creating and maintaining our apps' essential business logic, providing correct data processing and flawless user experiences.
• Database design, implementation, and management, including schema design, query optimisation and data integrity.
• Participating in code reviews, providing constructive input, and ensuring that code quality standards are met.
• Keep abreast of industry developments and best practices to bring new solutions to our initiatives.

Required skills and experience - 

Must have skills : -

• Bachelor’s degree in computer programming, computer science, or a related field.
• 3 + years of experience in backend development.
• Proficient in Python,Mongodb,postgres/sql,Django and Flask
• Knowledge on nginx.
• C++/C +Cython for creating python modules
• Knowledge on Redis
• Familiarity with using AI provider apis and prompt engineering
• Experience in working with linux based instances on the cloud.
• Strong problem solving and verbal and written communication skills.
• Ability to work independently or with a group.

Good to have skills :- 

• Experience in node.js and Java 
• AWS and Google cloud knowledge.

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.

• Work with stakeholders and fellow developers.
• Design and implement Python code using the Django framework.
• Identify and fix bottlenecks that may arise from inefficient code.
• Identify and fix software bugs.
• Create a wide variety of unit tests to verify the functionality of software.
• Manage the security of the platform.
• Write detailed documentation around the code.
• Knowledge of front end languages.

• Set up, manage, automate and deploy AI models in development and production infrastructure.
• Orchestrate life cycle management of AI Models
• Create APIs and help business customers put results of the AI models into operations
• Develop MVP ML learning models and prototype applications applying known AI models and verify the problem/solution fit
• Validate the AI Models
• Make model performant (time and space) based on the business needs
• Perform statistical analysis and fine-tuning using test results
• Train and retrain systems when necessary
• Extend existing ML libraries and frameworks
• Processing, cleansing, and verifying the integrity of data used for analysis 
• Ensuring that algorithms generate accurate user recommendations/insights/outputs
• Keep abreast with the latest AI tools relevant to our business domain

• Bachelor’s or master's degree in Computer Science, Statistics or related field 
• A Master’s degree in data analytics, or similar will be advantageous.
• 3 - 5 years of relevant experience in deploying AI models to production
• Understanding of data structures, data modeling, and software architecture
• Good knowledge of math, probability, statistics, and algorithms
• Ability to write robust code in Python/ R
• Proficiency in using query languages, such as SQL
• Familiarity with machine learning frameworks such as PyTorch, Tensorflow and libraries such as scikit-learn
• Worked with well know machine learning models ( SVM, clustering techniques, forecasting models, Random Forest, etc.)
• Having knowledge in CI/CD for the building and hosting the solutions
• We don’t expect you to be an expert or an AI researcher, but you must be able to take existing models and best practices and adapt them to our environment.
• Adherence to compliance procedures in accordance with regulatory standards, requirements, and policies. 
• Ability to work effectively and independently in a fast-paced agile environment with tight deadlines 
• A flexible, pragmatic, and collaborative team player with an innate ability to engage with data architects, analysts, and scientists.

Hands -on experience with the following technologies is needed:

1. Good Knowledge of Python & Django Framework.
2. Experience in Git or any Version control systems.
3. Experience in SQL Databases like MySQL and PostgreSQL.
4. Knowledge of NoSQL Databases like Mongodb.
5. Worked on Django based live projects.
6. To implement microservices using Django rest framework.
7. Handling various technical aspects like coding of modules using the given design specifications
8. Debugging and fixing the defects as well as analyzing its root cause.
9. Deployment(AWS) and monitoring of the live project.
10. Mentoring junior developers.

Knowledge/Experience of AWS will be a big plus

Preferred Qualifications: 
B-Tech-IT/B-Tech -CSE/BCA or any degree in the relevant field

Required Experience: 
3 – 6 Years

 Roles & Responsibilities -

• Build and maintain infrastructure for data retrieval, processing and storage
• Build strong working relationships with international teams
• Be willing and able to adapt to changes in priorities
• Ability to learn and apply new technologies to deliver added business value
• Maintain a strong focus on quality

• Proficient in Python / SQL
• Good understanding of data base management systems
• Experience developing and maintaining systems that handle large amounts of data
• Understanding of Electronic Trading Systems
• Attention to detail and code quality
• Excellent problem solving and analytical skills in a high-pressure environment
• Strong communication skills and an ability to convey ideas and concepts with clarity