Data Analyst

• Promote and sell company products at assigned locations.
• Complete mandatory product and compliance training.
• Collaborate with members of different teams.
• Develop engaging sales pitches for different target customers.
• Collect customer contact information and follow up with leads.
• Maintain the customer database.
• Build strong customer relationships.
• Create sales, needs analysis and cost–benefit reports.
• Monitor competitor sales strategies.

At Livello we building machine-learning-based demand forecasting tools as well as computer-vision-based multi-camera product recognition solutions that detects people and products to track the inserted/removed items on shelves based on the hand movement of users. We are building models to determine real-time inventory levels, user behaviour as well as predicting how much of each product needs to be reordered so that the right products are delivered to the right locations at the right time, to fulfil customer demand.

Responsibilities

• Lead the CV and DS Team
• Work in the area of Computer Vision and Machine Learning, with focus on product (primarily food) and people recognition (position, movement, age, gender, DSGVO compliant).
• Your work will include formulation and development of a Machine Learning models to solve the underlying problem.
• You help build our smart supply chain system, keep up to date with the latest algorithmic improvements in forecasting and predictive areas, challenge the status quo
• Statistical data modelling and machine learning research.
• Conceptualize, implement and evaluate algorithmic solutions for supply forecasting, inventory optimization, predicting sales, and automating business processes
• Conduct applied research to model complex dependencies, statistical inference and predictive modelling
• Technological conception, design and implementation of new features
• Quality assurance of the software through planning, creation and execution of tests
• Work with a cross-functional team to define, build, test, and deploy applications

Requirements:

• Master/PHD in Mathematics, Statistics, Engineering, Econometrics, Computer Science or any related fields.
• 3-4 years of experience with computer vision and data science.
• Relevant Data Science experience, deep technical background in applied data science (machine learning algorithms, statistical analysis, predictive modelling, forecasting, Bayesian methods, optimization techniques).
• Experience building production-quality and well-engineered Computer Vision and Data Science products.
• Experience in image processing, algorithms and neural networks.
• Knowledge of the tools, libraries and cloud services for Data Science. Ideally Google Cloud Platform
• Solid Python engineering skills and experience with Python, Tensorflow, Docker
• Cooperative and independent work, analytical mindset, and willingness to take responsibility
• Fluency in English, both written and spoken.

• Managing a team of representatives offering customer support.
• Overseeing the customer service process.
• Should be able to resolve queries over the calls or have experience in Outbound or Inbound process.
• Good to have experience in Service/Product Support.

Short runs at Bourdaina are 3 month fast track programs with clearly defined processes & objectives. Atleast one short run is mandatory before joining us for long haul.

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

•  Actively seeking out new sales opportunities through 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.

We are hiring for one of our clients (building an immersive platform for creators, from India, which can be used by creators to create content and engage their audience across the world. And they are looking for smart and motivated 'Mobile Engineers' to help build it.

For this, they need someone who has working knowledge in building quality mobile apps in React-Native/Flutter, handling device specific aspects, etc.

Being a Mobile Engineer at this organization will be like a feeling to build something that millions of users across the world can interact with. You will be helping in setting forth the mobile-frontend culture and journey.

Also, experience the working in the early team, shape a startup from the grounds up and be a part of the high growth journey.

Key Responsibilities: -

1. Build and deploy product features end to end.

2. You will build high quality features for a mobile app from grounds up, and can use patterns like composition, inheritance, renderProps, etc.

3. Research and implement things wherever needed, think automating via Fastlane CI/CD, testing logically so it works across multi-resolution devices, etc.

4. Setting up events for user, performance, and error analytics, think GA, hotjar, sentry, etc.

5. Participate in product and design ideation, collaborate with the team to implement high-quality features.

Requirements: -

1. Solid foundation in JS and React Native.

2. Passionate about product and drives it with engineering.

3. Architectural familiarity of implementation, not just UI features.

4. 1+ years of experience in building quality apps in React Native.

5. Identify and resolve performance and device specific issues.

6. Can adapt to best practices and learn device specific things in Android/iOS.

7. Code quickly and test thoroughly - maintain the balance between velocity and code health.

8. Great taste in UI and UX

Perks: -

1. Become a part of our early team, and shape products from grounds up

2. Attractive compensation and esops.

3. Macbook pro

4. Empowered to build an amazing startup culture with us

5. Full ownership and massive growth opportunities

6. and more...

The organization is funded by India's top executives and angel investors.