Business Development Manager – Partnerships & Reseller Network

• Design, develop, test, deploy, maintain, and improve software and new user-facing features across Novo’s products and services.
• Drive technical decisions on a multi-functional, Agile team alongside product management, product design, and engineering.
• Optimize applications for maximum speed and scalability and analyze feedback from customers and internal teams to identify issues and improvement opportunities. 
• Champion a passion for engineering best practices such as code quality, linting, and testing.
• Ensure our software is reliable, extensible, maintainable, debuggable, secure, well-tested and performs well under load.
• Mentor junior engineers in all aspects of planning, development and testing.
• Stay engaged with latest technologies and evaluate strategies to keep the Novo technology stack up to date.

• 5+ years experience in a highly technical role at a hyper-growth startup or fast-paced company.
• Extensive background designing, developing, testing, deploying, maintaining, and improving software.
• Good understanding of Node.js & Javascript.
• Demonstrated ability to translate business goals and initiatives into technical requirements.
• Strong understanding of SQL database.
• Demonstrable experience architecting scalable and cost effective solutions to ensure and support customer growth.
• Experience mentoring junior engineers in all aspects of planning, development and testing.
• Strong understanding of system design and architecture.
• Interest in engaging with latest technologies and evaluating strategies to keep the Novo technology stack up to date.
• Excellent written and verbal communication skills with the ability to collaborate with both technical and non-technical teams effectively.

We are looking for a great JavaScript developer who is proficient with React.js. Your primary focus will be on developing user interface components and implementing them following well-known React.js workflows (Redux). You will ensure that these components and the overall application are robust and easy to maintain. You will coordinate with the rest of the team working on different layers of the infrastructure. Therefore, a commitment to collaborative problem-solving, sophisticated design and quality products is important.

Responsibilities

• Developing new user-facing features using React.js
• Building reusable components and front-end libraries for future use
• Translating designs and wireframes into high quality code
• Optimizing components for maximum performance across a vast array of web-capable devices and browsers

Skills

• Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model
• Thorough understanding of React.js and its core principles
• Experience with popular React.js workflows (Redux)
• Familiarity with newer specifications of EcmaScript
• Experience with data structure libraries (e.g., Immutable.js)
• Knowledge of isomorphic React is a plus
• Familiarity with RESTful APIs
• Knowledge of modern authorization mechanisms, such as JSON Web Token
• Familiarity with modern front-end build pipelines and tools
• Experience with common front-end development tools such as Babel, Webpack, NPM, etc.
• Ability to understand business requirements and translate them into technical requirements
• A knack for benchmarking and optimization
• Familiarity with code versioning tools GIT
• Familiarity with Docker

Requirements:

• Bachelor’s/Master in computer science
• 3-5 years of work experience
• Excellent problem-solving skills
• Able to work in a fast, unstructured environment
• Excellent communication and collaboration skills
• Must have access to FTTH internet connection

Short runs at Bourdaina are 3 month fast track programs with clearly defined processes & objectives. 

Here's what you'll do day-to-day:

• Actively seeking out new sales opportunities through cold calling, networking and social media.
• A sales intensive role where you help restaurants, F&B brand, Hotels and FMCG brands by selling Bourdaina products
• Demonstrating and presenting products and services.
• Account management for key clients of the organisation.
• Manage end-to-end client relationships including pitching, negotiation, contracting, billing/invoicing, and payment collection, result tracking and troubleshooting.

Here's what we're looking for:

• People with 0 - 3 years of work experience. Relevant experience in B2B sales will be great!
• Someone who comes with a strong sense of initiative and personal leadership demonstrating the ability to function independently, and comfortable working in a startup environment.
• A person who is articulate, organized, detail-oriented, and has the ability to multitask.

ML Engineer-Analyst/ Senior Analyst

Job purpose:

To design and develop machine learning and deep learning systems. Run machine learning tests andexperiments and implementing appropriate ML algorithms. Works cross-functionally with the Data Scientists, Software application developers and business groups for the development of innovative ML models. Use Agile experience to work collaboratively with other Managers/Owners in geographically distributed teams.

Accountabilities:

• Work with Data Scientists and Business Analysts to frame problems in a business context. Assist all the processes from data collection, cleaning, and preprocessing, to training models and deploying them to production.

• Understand business objectives and developing models that help to achieve them, along with metrics to track their progress.

• Explore and visualize data to gain an understanding of it, then identify differences in data distribution that could affect performance when deploying the model in the real world.

• Define validation strategies, preprocess or feature engineering to be done on a given dataset and data augmentation pipelines.

• Analyze the errors of the model and design strategies to overcome them.
• Collaborate with data engineers to build data and model pipelines, manage the infrastructure and data pipelines needed to bring code to production and demonstrate end-to-end understanding of applications (including, but not limited to, the machine learning algorithms) being created.

Qualifications & Specifications

• Bachelor's degree in Engineering /Computer Science/ Math/ Statistics or equivalent. Master's degree in relevant specification will be first preference

• Experience of machine learning algorithms and libraries
• Understanding of data structures, data modeling and software architecture.
• Deep knowledge of math, probability, statistics and algorithms
• Experience with machine learning platforms such as Microsoft Azure, Google Cloud, IBM Watson, and Amazon

• Big data environment: Hadoop, Spark
• Programming languages: Python, R, PySpark
• Supervised & Unsupervised machine learning: linear regression, logistic regression, k-means

clustering, ensemble models, random forest, svm, gradient boosting

• Sampling data: bagging & boosting, bootstrapping
• Neural networks: ANN, CNN, RNN related topics
• Deep learning: Keras, Tensorflow
• Experience with AWS Sagemaker deployment and agile methodology

• Experience level of 6 to 9 years of experience in very large-scale applications.
• Strong problem-solving skills, computer science fundamentals, data structures and
• algorithms their space & time complexities
• Design (LLD & HLD) and architect technical solutions for the business problems of a very large-scale portal.
• Strong hands-on and practical working experience with Java as the programming language
• Strong debugging skills - Code, Logs, DB, JVM
• Excellent coding skills - should be able to convert design into code fluently.
• Hands-on experience working with Databases and Linux platform