Graphics Designer

We're hiring a senior SDET to work on our hybrid android application (WebView based). Our app is now over 10 million dairy farmers trade cattle, in a peer-peer marketplace, to improve their economic conditions. Your frameworks and tools will have a far-reaching impact on a dairy farmer's life and indirectly make a positive impact on our GDP.

Ideally, you're a person who loves performing test automation, including the creation & management of test scenarios, documentation, and coding tests. You will help drive the design & building of E2E test automation and frameworks for our React. js-based hybrid mobile application. Moreover, you will find bottlenecks & thresholds in existing code with the help of automation tools.

Requirements:

• Prior experience with Appium or other automated mobile testing technologies.
• Knowledge of front-end/UI testing is highly desired.
• Hands-on experience on more of TestNG, JUnit, Spring Test, etc.
• Experience in working with Agile + DevOps' process management methodology.
• Experience in using one or more of Rest Assured, Super Test, Postman, and Swagger.
• Experience in using mocking frameworks.
• Experience in using API testing frameworks.
• Experience in Performance testing frameworks and the ability to design performance tests.
• Experience in some scripting languages, like Shell, Python, etc.

• 2 to 5 years of experience (or equivalent understanding of software engineering)
• Familiar with one backend language (Node, Go, Java, Python)
• Familiar with Javascript/Typescript and a UI framework
• Willingness and interest in learning new tech/processes (Airflow, AWS, IaaS, etc.)

Roles and responsibilities:-

• Work closely with the cross-functional teams and collaborate with product managers, developers, marketing team, and designers
• Execute a strategic vision at the onset of a project and work with the team to deliver on this vision at every step of the design and development process.
• Own and manage multiple rapid research, design, and prototyping projects
• Manage design work across numerous initiatives through successful project execution, tracking, and resourcing
• Lead new creative and holistic thinking across diverse product releases, platforms, and devices; drive the direction, style, and methodology of design and accessibility
• Review work and share feedback with design team members

Desired Candidate Profile:

• Extensive experience as UX designer
• Experience in leading a team of designers
• Good exposure to in interactive design and information architecture
• Extensive understanding of *design principles, typography, and color theory.
• Expertise in using popular software like*Adobe XD, Figma, Sketch
• Ability to iterate designs and solutions efficiently and intelligently
• Experience designing and managing UX that bridges multi-platforms including mobile apps and web-based applications
• Research and showcase knowledge in the industry’s latest trends and technologies
• Team player with good communication skills and the ability to think out of the box

What you need to have:

About SLAY

SLAY Coffee is India's best rated and fastest growing coffee brand with a vision to democratise great coffee experiences through technology & innovative customer experiences. With 3 core lines of business (SLAY Cloud for Online, SLAY Coffee Bars for Grab & Go and SLAY Packaged Coffees for home consumption), SLAY Coffee’s core promise is sophisticated convenience at pocket friendly prices. The brand is 2-years old and currently has a footprint of over 150 locations across 8 cities.

Culture at SLAY

Excellence is our North Star and our culture fuels this pursuit. We work together as a sports team*; each member is united by a common purpose and drives excellence by bringing their unique self to the team.

We aim to build and nurture a team that finds meaning and fulfillment in the work they do at SLAY. If who you are and what you value is in alignment with what SLAY is and what we value, then the pursuit of excellence becomes meaningful.

The following principles guide us in our day to day working at SLAY:

1. Customer first
2. Transparency
3. Simplicity in thought and action
4. Long term thinking
5. Passion
6. Data over opinion, company and team over self
7. Integrity and respect
8. Communication for impact

Core Values

Our core values define how we operate and bring about an alignment of purpose. We learn and get inspired from each other in strengthening these behaviors & skills both at an individual level and collectively at the Company level. New members are added to the team and existing team members are rewarded and developed based on these values.

1. Courage:
1. To think big, act without fear and voice your opinion.
2. To question the status quo- go beyond rules and hierarchies.
3. To act in the best interest of the customer and company, even if it calls for going outside your comfort zone.
2. Ownership:
1. Seek to understand the context and objective, then drive for results
2. Collaborate independently across teams
3. Communicate proactively. Eliminate the need for follow ups
4. Act with authority
3. Action
1. Prioritize action over discussions
2. Run small pilots for each idea
3. Make mistakes, learn, don't repeat.
4. Curiosity
1. To understand our customers and markets deeply beyond the stated
2. To push the boundaries and innovate
3. To never settle for less

Beyond the salary (and great coffee!)

• Freedom to test out any idea in your function or outside of it.
• Gender-neutral policies
• Free Books Program- buy any book that you would like to read for the company library. The Company pays for it.
• 25% of your time can be devoted to the causes you care about. (Pursue your passion or hobby)
• Exclusive talks & insights from the experts for the growth & development of our team
• Full tuition fees sponsorship for Baristas
• Family support programs for Baristas

Opportunity

As a team member in SLAY’s growth team, you will work on projects to grow the brand’s reach, resonance and resultant goodness.

Your Boss

You will work directly with the Co-founder . This position is being hired for the Centre of Excellence team at SLAY.

Your Team

You will collaborate with business teams to develop in house training & learning strategies, creative teams to develop impactful creatives, operations teams for execution & external partners to set up and manage specific learning and development initiatives..

Key Result Areas

• Drive technology first learning interventions for all members of the organization.
• Design and deploy the end to end training framework from training needs identification to continuous assessments and certifications. 
• Develop content using instructional design methodologies. Suggest and deploy new age and industry first tools and systems.
• Own the competency dictionary of the organization and drive brand values and culture through culture philosophy through all training and development activities.
• Manage and guide the training team which will include instructional designers, content developers, training coordinators etc.
• Keep abreast of training trends, developments and best practices of the Industry.

Your role requires knowledge and demonstrable experience of:

• 6+ years of experience in developing and executing successful training initiatives.
• Familiar with traditional and modern training processes
• Meticulous attention to detail
• Ability to plan, multi-task and manage time effectively
• Entrepreneurial with the ability to think of industry first and rule breaking initiatives
• Organizational skills

Next Steps:

If you wish to explore this opportunity further,

1.  Send us a copy of your latest resume
2. A quick note on what excites you about working with SLAY. You can do this as an audio file, video file or a simple write up as well.
3. We will schedule one to one interactions with your potential boss, team members and peers.

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