Python backend developer

FactWise is a fully funded, early-stage startup building b2b SaaS for a global SMB client base. Our team has alumni from MIT, Stanford, GeorgiaTech, UCL, the IITs, VJTI, Amazon and McKinsey, and currently comprises frontend, backend, full stack developers, UI/UX engineers, product managers, data scientist, and Ops, HR, Marketing. We'd love to get to know you better!

As a member of the development group, you will be primarily responsible for the design, development, and maintenance of the product:  

• Help define and create full stack architecture and deployment using React- Django-AWS in an agile environment with lots of ownership and active mentoring. 
• Work with the Product and Design teams to build new features to solve business problems and fill business needs 
• Participate in code reviews to create robust and maintainable code 
• Work in an agile environment where quick iterations and good feedback are a way of life 
• Interact with other stakeholders for requirement, design discussions and for adoption of new features 
• Communicate and coordinate with our support and professional services teams to solve customer issues. 
• Help scale our platform as we expand our product across various markets and verticals globally. 

As a young startup, we are hoping to be joined by self-starting, hardworking, passionate individuals who are committed to delivering their best, who can grow into future leaders of FactWise. 

Requirement:

• Min 2-3 Year Experience. Preferably in the E-commerce domain. 
• Proficient with both MySQL and NoSql Databases (Elastic, Mongo)
• Strong hold on PHP and preferably good knowledge of Python
• Experience with JavaScript/JQuery
• Ability to do software design for a enterprise web application
• Working knowledge of a MVC front-end framework
• Proficient in HTTP protocol, REST APIs, JSON
• Ability to do database design and modeling
• Proficient in OOPS concepts and writing code using classes
• Ability to write modular and clean code

Role:

• Software Development of various product line 
• Creation web-services and optimization for existing and new feature rollouts
• Collaborate with Product Managers and design solutions 
• Develop very high sense of ownership, the zeal to build scalable applications
• Build customer facing technology product 
• Individual Contributor

Roles & Responsibilities:

• You will be coordinating our enterprise account-specific teams called squads, consisting of members from engineering, machine-learning, and conversation-design teams.
• There are five working groups in the organization, (i) Business (ii) Research (iii) Solutions (iv) Product, and (v) Operations, where you will be joining the Solutions, working group.
• You will be collaborating with the sales team to design an appropriate solution to the customer's problems and help them showcase the value of the product.
• You will be collaborating with the operations team to ensure we are not compromising on our quality standards.
• You will also be co-working with the product working group to help them improve the overall platform and to prioritize the high-impact initiatives in the roadmap.

Work you will be doing:

• You will be building bespoke voice bots for enterprise clients using internal tools.
• You're expected to help build the Solutions stack whose goal is to reduce the amount of effort put into building our voice bots. 
• You will be involved in analyzing client calls where you're expected to use either data pipelines or SQL to get insights into caller behavior.

• Professional experience of at least 1 year.
• Has experience with integrating or building HTTP APIs
• Has hands-on experience working with Python
• Good communicator

Optional Requirements:

• Has experience working in any of Django Rest Framework, Redis, Celery

Skit uses a microservices architecture where we employ both HTTP and GRPC to communicate between our services

• 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.

Affinsys is a Cognitive CX platform that combines Human & AI realms to help businesses with  customer experience management, hyper-personalization & operations automation. With laser sharp focus on Customer Experience automation for financial services, we use Deep learning, NLP, computer vision, big data, recommendation system & speech analytics fused with our domain knowledge of working with 100's of banks across 50 countries to help financial institutions shift : from legacy to latest channels (Embedded Financial services), from transactions to goal based journeys (Personalized customer experience), from reactive service provider to proactive advisor (Robo/AI based advisory), from silos to ecosystem (Open banking).

• At least 4 years of experience programming in Python.
• Develop application code and modules for business and technical requirements.
• Tune up design for maintainability, scalability and efficiency.
• Resolve and troubleshoot problems and complex issues.
• Perform unit tests and fix bugs.
• Integrate best qualitative practices in design and development aspects of programs.
• Ability to mentor subordinates.
• Excellent communication skills.

Role – Technical Architect

ZipLoan is looking out for a strong technology leader of Software Product Engineering, with a Technical Experience of about 12+ years, and hands-on experience in Software Product Development and ownership. You will head our Platform team which will be tasked with building ZipLoan's platform layer along with a set of engineers reporting to you.

Role:

1. Understand the business end-to-end in order to drive a use-case driven architecture.
2. Identify parts of the code-base which can be made reusable as modules or services.
3. Propose architecture improvements to provide reliability and robustness at scale.
4. Provide a roadmap for evolution of the technology ecosystem.
5. Identify and erase technical debt.
6. Provide consultancy to engineering teams on specific design challenges.
7. Propose engineering best practices and help teams in adopting them.

1. 12 years min experience in core software development.
2. Hands-on experience building consumer Web/mobile apps at scale.
3. Strong exposure to open-source technology – Python and other languages,

Linux, SQL and NoSQL databases, Web development frameworks

1. Strong architecture skills.
2. Ability to mentor engineering team members effectively.
3. Preferably a strong full-stack engineer or at least strong backend skills with some front-end skill.