Business Development Executive

Zemoso Labs is a product studio offering innovation-as-a-service, with design, engineering, and growth services. Our clientele includes Fortune 500 companies, disruptive startups, and unicorns from around the world.

We have operations in India, U.S., Europe, and Canada, and we have created over $8 billion in value for our customers.

At Zemoso Labs, we see marketing as a compelling vehicle to ‌ leverage to help us and our clients grow exponentially. The ideal candidate for this role will not only be data-driven, but an experimentation-oriented approach to campaign management.

The ideal candidate will be a team player who can give direction to other members of the team, take abstract input from senior stakeholders to translate to action items and collaborate with direct co-creators like designers and subject matter experts. They must understand how to create a narrative around a brand and extend it to every asset we create. Ability to learn and scale quickly, and be unafraid to ask questions are must-haves.

RESPONSIBILITIES

• Meeting with internal stakeholders and clients to determine their goals and budget
• Advising clients and other stakeholders on costs, expectations, outcomes, and processes
• Brainstorming ideas for marketing campaigns and paid advertising
• Brainstorming with a team of digital marketers, such as SEO specialists, content marketers, designers, sales specialists, and web developers
• Creating and managing paid ads across LinkedIn, Twitter, Facebook, Google, media partners, programmatic, display, search, networks and more
• Monitoring and analyzing web analytics and campaign performance
• Defining campaign budgets, aligning campaign goals, and ensuring adherence to search optimization principles
• Identifying and presenting new avenues of paid advertising
• Utilizing demand-side RTP platforms to promote adverts and campaigns
• Ensuring a positive ROI on client spending and PPC ad campaigning
• Coordinate with a team of individual contributors to meet deadlines for launch dates

Must-haves:

• Basic familiarity with concepts of campaign management experience across paid, organic, and other marketing efforts across channels
• Analytical mindset with an ability to map data to insights
• Impeccable ability to do customer journey mapping to identify pain points
• Work across multiple time zones (US, US (CST), Canada) as needed
• Ability to learn, scale, and ideate
• Ability to ask the right questions and focus on “what does success look like?”
• Google, Hubspot, and LinkedIn certifications are a huge plus
• Internship in SEO or SEM or Campaign Analytics preferred

Benefits:

• Competitive salary
• Work from anywhere in India
• Learning and gaining experience rapidly
• Reimbursement for basic work-from-home setup
• Insurance (including a top-up insurance for COVID)

Should be highly Technical and hands-on experience in Artificial Intelligence and Machine learning and Python. Managing the successful delivery of projects by efficient planning and coordination.

KEY RESPONSIBILITIES OF THE POSITION :

• Create Technical Design for AI, Machine Learning, Deep Learning, NLP, NLU, NLG projects and implement the same in production.
• Solid understanding and experience of deep learning architectures and algorithms
• Working experience with AWS, most importantly AWS SageMaker, Aurora or MongoDB, Analytics and reporting.
• Experience solving problems in the industry using deep learning methods such as recurrent neural networks (RNN, LSTM), convolutional neural nets, auto-encoders, etc.
• Should have experience of 2-3 production implementations of machine learning projects.
• Knowledge of open-source libraries such as Keras, Tensor Flow, Pytorch
• Work with business analysts/consultants and other necessary teams to create a strong solution
• Should have in-depth understanding and experience of Data Science and Machine Learning projects using Python, R, etc. Skills in Java/C are a plus
• Should developing solutions using python in AI/ML projects
• Should be able to train and build a team of technical developers
• Desired to have experience as leads in designing and developing applications/tools using Microsoft technologies - ASP.Net, C#, HTML5, MVC
• Desired to have knowledge on any of the cloud solutions such as Azure or AWS
• Desired to have knowledge on any of container technology such as Docker
• Should be able to build strong relationships with project stakeholders

Keywords:

• Python
• Artificial Intelligence
• Machine Learning
• AWS
• Django
• NLP

As an Infrastructure Engineer at Navi, you will be building a resilient infrastructure platform, using modern Infrastructure engineering practices.

You will be responsible for the availability, scaling, security, performance and monitoring of the navi Cloud platform. You’ll be joining a team that follows best practices in infrastructure as code

• Build out the Infrastructure components like API Gateway, Service Mesh, Service Discovery, container orchestration platform like kubernetes.
• Developing reusable Infrastructure code and testing frameworks
• Build meaningful abstractions to hide the complexities of provisioning modern infrastructure components
• Design a scalable Centralized Logging and Metrics platform
• Drive solutions to reduce Mean Time To Recovery(MTTR), enable High Availability.

• Good to have experience in managing large scale cloud infrastructure, preferable AWS and Kubernetes
• Experience in developing applications using programming languages like Java, Python and Go
• Experience in handling logs and metrics at a high scale.
• Systematic problem-solving approach, coupled with strong communication skills and a sense of ownership and drive.

• Have 3+ years of experience in Python development
• Be familiar with common database access patterns
• Have experience with designing systems and monitoring metrics, looking at graphs.
• Have knowledge of AWS, Kubernetes and Docker.
• Be able to work well in a remote development environment.
• Be able to communicate in English at a native speaking and writing level.
• Be responsible to your fellow remote team members.
• Be highly communicative and go out of your way to contribute to the team and help others