About Us:
We are not just an AD agency or a creative agency, we are a Communication Company. Founded in 2014, Moshi Moshi is a young, creative, gutsy, and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups and corporations like Ola, Zoomcar, Mercedes Benz, ITC, Aditya Birla Group, TATA Group, MTV, IHCL, Jaquar, Sobha, Simple Energy, and Godrej amongst others. We have a huge
team of creative folks, marketers, learners, developers, and coders who believe Moshi Moshi is an experience rather than a company.
Job Role: Video Production Head
Experience Level: 5+ Years
Location: Bangalore, Karnataka (On-site).
Job Overview:
● A Strong Background in Animation and motion Design
● Strong technical skills and proven ability to use a variety of software - Premiere Pro
● The ability to partner with other creative team members and key stakeholders to create content used across a variety of platforms (web, mobile, video, and more)
● Must be a creative and strategic thinker.
● Assertive, Proactive, Empathetic and forward-looking
● Super energetic, positive attitude with a strong appetite for growth
● Able to work in a fast-paced environment and have strong project management skills
● Be a great communicator, receive and interpret feedback and meet deadlines.
Job Responsibilities:
● Ideate, Conceptualize and create highly quality engaging video content for the brands, Partners & DE App.
● Create Lottie-based animation files. Train team members on deliverables
● Work with the design team to create a library of illustrations for the video content.
● Present storyboards to the stakeholders and take responsibility in the execution of the entire project.
Qualifications:
● Required Skills 5+ years of experience in managing a video/Animation team.
● Experience working on mobile platforms/Apps/Social media launches
● A very good knowledge of Animation principles, Storytelling, Design, Composition, Staging, timing Character design.
● A degree in animation, Art or any kind of creative background is a must.
● Obsessed with details and has a strong eye for design nuances
● Fair amount of experience in UI & UX Illustration capability is a plus. 2d/3d animation is a plus.
● Image manipulation, Color correction knowledge is a plus and experience in Cinema 4D is a plus.
Shubham Vishwakarma
Full Stack Developer - Averlon
About Moshi Moshi
About
Founded in 2014 by two passionate individuals during their second year at Christ College, Bangalore, Moshi Moshi is a young, creative, and committed communication company that encourages clients to always "Expect the EXTRA."
Our diverse team of over 160+ people includes Art directors, Cinematographers, Content and copy writers, marketers, developers, coders, and our beloved puppy, Momo. We offer a wide range of services, including strategy, brand design, communications, packaging, film and TVCs, PR, and more. At Moshi Moshi, we believe in creating experiences rather than just running a company.
We are amongst the fastest growing agencies in the country with a very strong value system.
Below are the five of the nine principles we believe in strongly.
- Communicate Clearly.: Prioritize clear and open dialogue.
- Doing things morally right.: Uphold integrity in all endeavors.
- Dream it, do it.: Always Embrace optimism and a can-do attitude.
- Add logic to your life.: Ensure that rationality guides our actions.
- Be that fool.: Fearlessly challenge the impossible.
Come find yourself at Moshi Moshi.
Tech stack
React.js
React Native
NodeJS (Node.js)
MongoDBCandid answers by the company
Moshi Moshi is a full-service creative agency that blends strategy with innovation to craft powerful brand experiences. From branding, digital marketing, and web development to video production and PR, we help businesses create impactful stories that stand out. With a bold, quirky, and result-driven approach, we turn ideas into unforgettable brand moments. 🚀
Company social profiles
Similar jobs
Role Summary
We are looking for a highly skilled AI Engineer / AI Architect to design, develop, and deploy scalable AI solutions. The ideal candidate will have strong expertise in building the Enterprise Generative AIsolution along with the ability to architect end-to-end AI systems aligned with business objectives.
Key Responsibilities
Design and implement end-to-end AI/Gen AI solutions. Architect scalable and secure AI systems using cloud platforms.
Work on Generative AI use cases including LLMs, RAG, Workflow, Agentic AI, prompt
engineering, LLM-as-Judge, and fine-tuning.
Collaborate with cross-functional teams and customer to translate business requirements into AI solutions.
Should have knowledge and worked in SDLC process and understand DevOps
practices/workflows.
Stay updated with emerging AI trends and evaluate new tools/technologies.
Mentor junior engineers and guide best practices in AI development.
Required Skills
Strong proficiency in Python and AI/ML Tools like Google ADK/Langgraph/Langchain, etc.., Should have experience in configuring the LLM in AWS Bedrock/Azure Foundry/Databricks and
configure the LLMOPS and production grade AI System.
Hands-on experience with Generative AI (LLMs, embedding, prompt engineering).
Understands the Agile process and involve in technical scoping and estimations
Strong problem-solving and analytical skills. Experience working on production-grade AI systems.
Nice to Have
Certifications in Gen AI/AI/ML in Azure/Databricks platforms.
Should have some foundational knowledge with Azure Cloud
Experience in handling an enterprise custom and enterprise AI solutions is a added advantage.
PythonKey Responsibilities
Architect and implement enterprise-grade Lakehouse solutions using Databricks
Design and deliver scalable batch and real-time data pipelines using Apache Spark (PySpark/SQL)
Build ETL/ELT pipelines, incremental data loads, and metadata-driven ingestion frameworks
Implement and optimize Databricks components: Delta Lake, Delta Live Tables, Autoloader, Structured Streaming, and Workflows
Design large-scale data warehousing solutions with 3NF and dimensional modeling
Establish data governance, security, and data quality frameworks, including Unity Catalog
Lead ML lifecycle management using MLflow and drive AI use cases (RAG, AI/BI)
Manage cloud-native deployments on Microsoft Azure and integrate with enterprise systems (e.g., ServiceNow)
Drive CI/CD, DevOps practices, and performance optimization of Spark workloads
Provide technical leadership, mentor teams, and ensure successful delivery
Collaborate with stakeholders to translate business requirements into scalable solutions
Required Skills & Experience
10+ years in Data Engineering / Analytics / AI with strong delivery ownership
Deep expertise in Databricks ecosystem (Notebooks, Delta Lake, Workflows, AI/BI, Apps, Genie)
Strong hands-on experience with:
a. Apache Spark (performance tuning & scalability)
b. Python and SQL
Proven experience in:
a. Solution architecture and large-scale data platforms
b. Data warehousing and advanced data modeling
c. Batch and real-time processing systems
Experience with:
a. Azure Databricks and Azure data services
b. MLflow and MLOps practices
c. ServiceNow or enterprise integrations
Exposure to AI technologies (RAG, LLM-based solutions)
Strong stakeholder management and leadership skills
Certifications (Preferred)
Databricks certifications aligned to data engineering and AI tracks, such as:
a. Databricks Certified Data Engineer Associate (validates foundational ETL, Spark, and Lakehouse capabilities)
b. Databricks Certified Data Engineer Professional (advanced expertise in pipeline design, optimization, and governance)
Certifications in Databricks Machine Learning or Generative AI tracks (e.g., ML Associate / Professional) for AI-driven use cases
Relevant cloud certifications in Microsoft Azure or Amazon Web Services for platform deployment and architecture
Javascript
HTML/CSSReact.js
Spring BootLocation: Hybrid/ Remote
Openings: 2
Experience: 5+ Years
Qualification: Bachelor’s or Master’s in Computer Science or related field
Job Responsibilities
Problem Solving & Optimization:
- Analyze and resolve complex technical and application issues.
- Optimize application performance, scalability, and reliability.
Design & Develop:
- Build, test, and deploy scalable full-stack applications with high performance and security.
- Develop clean, reusable, and maintainable code for both frontend and backend.
AI Integration (Preferred):
- Collaborate with the team to integrate AI/ML models into applications where applicable.
- Explore Generative AI, NLP, or machine learning solutions that enhance product capabilities.
Technical Leadership & Mentorship:
- Provide guidance, mentorship, and code reviews for junior developers.
- Foster a culture of technical excellence and knowledge sharing.
Agile & Delivery Management:
- Participate in Agile ceremonies (sprint planning, stand-ups, retrospectives).
- Define and scope backlog items, track progress, and ensure timely delivery.
Collaboration:
- Work closely with cross-functional teams (product managers, designers, QA) to deliver high-quality solutions.
- Coordinate with geographically distributed teams.
Quality Assurance & Security:
- Conduct peer reviews of designs and code to ensure best practices.
- Implement security measures and ensure compliance with industry standards.
Innovation & Continuous Improvement:
- Identify areas for improvement in the software development lifecycle.
- Stay updated with the latest tech trends, especially in AI and cloud technologies, and recommend new tools or frameworks.
Required Skills
- Strong proficiency in JavaScript, HTML5, CSS3
- Hands-on expertise with frontend frameworks like React, Angular, or Vue.js
- Backend development experience with Java, Spring Boot (Node.js is a plus)
- Knowledge of REST APIs, microservices, and scalable architectures
- Familiarity with cloud platforms (AWS, Azure, or GCP)
- Experience with Agile/Scrum methodologies and JIRA for project tracking
- Proficiency in Git and version control best practices
- Strong debugging, performance optimization, and problem-solving skills
- Ability to analyze customer requirements and translate them into technical specifications
JavaSpring Boot- - Strong architecture and design skills and keen business sense.
- - Strong core server-side technologies experience (Java), database design & performance tuning exposure.
- - Strong OO design skills, knowledge of frameworks such as Spring/ Spring Boot/ exposure to functional programming a plus.
- - Good knowledge of nodeJS/ noSQL a definite plus.
- - Good exposure to front end/UI skills (JS, HTML, Angular).
- - Good exposure to configuration management, testing, deployment.
- - Deep knowhow of data structures, algorithms.
- - Hands on development across technologies
We are looking for a highly skilled and experienced Google Ads Expert to join our marketing team. As a Google Ads Expert, you will be responsible for developing and implementing effective Google Ads campaigns to drive targeted traffic, generate leads, and increase conversions. Your in-depth knowledge of Google Ads and experience in optimizing campaigns will contribute to the success of our digital marketing efforts.
Vue.js
AngularJS (1.x)
Angular (2+)React.jsJavascriptData modelling, implementing business logic as well as focusing on engineering and design of the
platform.
● API design and development
● Implementation of CRUD (Create, update, read, delete)
● Writing reusable, testable, and efficient code
● Design and implementation of low-latency, high-availability, and performant applications
● Integration of user-facing elements developed by front-end developers with server-side logic
● Write and implement software solutions that integrate different systems
● Identify and suggest ways of improving efficiency and functionality
● Come up with reusable code that is efficient and easily testable
● Use backend logic to integrate user-facing features
● Development of middleware ensuring high performance and responsiveness to requests from the frontend and also development of a complex & secure data aggregation system
● Diagnose bugs and other issues in products
● Write and implement Low-Latency Applications
● Implement security and data protection
● Design and build scalable REST APIs
● Develop, test, tune for performance and deploy web services
● Work with product team to build innovative, robust, and easy-to-use features.
Collaborate with the team, optimize and refactor the back-end architecture
● Contribute to architectural and design discussions
● Ensure smooth and timely communication with both the internal and external stakeholders.
● Participate in estimations and ensure timely delivery of the features
● Design, Develop & Unit test features in the product
● Conduct peer reviews and ensure quality of committed code
Required Skills:
● Excellent software engineering skills and experience of 2-4 years.
● Solid foundation in data structures and algorithms
● Data modelling and database design. Expert in Python, with knowledge of at least one Python web
framework {such as Django, Flask, etc}
● Good understanding of server-side templating languages like DTL, Jinja 2
● Good understanding of front-end technologies, such as JavaScript, HTML5, and CSS3
● Knowledge of at least one ETL tool or framework (Such as apache airflow)
● Familiarity with SQL and any ORM framework
● In depth knowledge of any one web server like nginx or apache2 would be a plus
● Competent in designing and building web applications and/or web services in a commercial setting
● Competent in design/implementation for reliability, availability, scalability and performance
● Working knowledge of code versioning tools such as Git
● Strong unit test and debugging skills are a plus
● Good understanding of designing micro services
Behavioural
● A self-starter attitude, the ability to work independently and in a group, demonstrated initiative, and
good writing/briefing skills are great to have
● Should be good at analytical thinking and breaking down large problems into solvable chunks
● Demonstrated the ability to think creatively and come up with ideas / thoughts with significant business/
organizational impact
● Ability to quickly adapt to changing technological trends
Note:- Stipend is 7k-12k
Job description
Job Brief -
We are looking for a talented and competitive Global Inside Sales Representative that thrives in a quick sales cycle environment. An inside sales representative will play a fundamental role in achieving our ambitious customer acquisition. You must be comfortable handling inbound/outbound calls, handling Marketing activities to reach out to prospects on communication & Digital platforms, working with channel partners, generating interest, qualifying prospects, closing the deals.
Responsibilities, Duties, and Required Skills
Research new prospects and generate interest through e-mailers and cold calling
Follow up with prospects for feedback on the sales process
Team up with channel partners to build a pipeline of exciting deals
Update CRM software on existing prospects and customers contacts
Route qualified opportunities to the appropriate sales executives for further action
Market research for identifying prospects.
Generating account-level contact information
Lead Generation & Qualification
Inside Sales via remote selling (online/phone)
Closely working with field sales team for closures
Managing engagement with leads remotely (online/phone)
Support marketing team during branding and lead generation events.
Experience in Inside Sales function in SaaS-based companies or IT Enterprise B2B Sales
Experience in SaaS/HR Tech Vertical is a plus
Required Skills
- Must maintain and exhibit the highest standards of ethical conduct
- Proven ability to generate a pipeline for the sales team in B2B sales
- Have worked in Software / IT companies
- Excellent creative thinking skills with an emphasis on developing innovative solutions to complex problems that may not have one clear answer.
- High attention to detail and excellent organizational skills, adhering to deadlines while ensuring accuracy
HTML/CSSResponsibilities:
- Plan and conduct user research and competitor analysis.
- Interpret data and qualitative feedback.
- Create user stories, personas, and storyboards.
- Determine information architecture and create sitemaps.
- Create prototypes and wireframes.
- Conduct usability testing.
- Understanding of interaction design principles.
- Understanding of business metrics and the ability to translate company goals and objectives into digital experiences.
Requirements:
- Adaptability.
- Communication, collaboration and teamwork.
- Problem-solving.
- Design thinking.
- A user-centric mindset.
- Attention to detail.
- Creative and analytical approach.
- Knowledge of industry tools such as Sketch, IN Vision, Adobe InDesign, Illustrator, Zeppelin and OmniGraffle.
Deep LearningPython
Machine Learning (ML)WE ARE GRAPHENE
Graphene is an award-winning AI company, developing customized insights and data solutions for corporate clients. With a focus on healthcare, consumer goods and financial services, our proprietary AI platform is disrupting market research with an approach that allows us to get into the mind of customers to a degree unprecedented in traditional market research.
Graphene was founded by corporate leaders from Microsoft and P&G and works closely with the Singapore Government & universities in creating cutting edge technology. We are gaining traction with many Fortune 500 companies globally.
Graphene has a 6-year track record of delivering financially sustainable growth and is one of the few start-ups which are self-funded, yet profitable and debt free.
We already have a strong bench strength of leaders in place. Now, we are looking to groom more talents for our expansion into the US. Join us and take both our growths to the next level!
WHAT WILL THE ENGINEER-ML DO?
- Primary Purpose: As part of a highly productive and creative AI (NLP) analytics team, optimize algorithms/models for performance and scalability, engineer & implement machine learning algorithms into services and pipelines to be consumed at web-scale
- Daily Grind: Interface with data scientists, project managers, and the engineering team to achieve sprint goals on the product roadmap, and ensure healthy models, endpoints, CI/CD,
- Career Progression: Senior ML Engineer, ML Architect
YOU CAN EXPECT TO
- Work in a product-development team capable of independently authoring software products.
- Guide junior programmers, set up the architecture, and follow modular development approaches.
- Design and develop code which is well documented.
- Optimize of the application for maximum speed and scalability
- Adhere to the best Information security and Devops practices.
- Research and develop new approaches to problems.
- Design and implement schemas and databases with respect to the AI application
- Cross-pollinated with other teams.
HARD AND SOFT SKILLS
Must Have
- Problem-solving abilities
- Extremely strong programming background – data structures and algorithm
- Advanced Machine Learning: TensorFlow, Keras
- Python, spaCy, NLTK, Word2Vec, Graph databases, Knowledge-graph, BERT (derived models), Hyperparameter tuning
- Experience with OOPs and design patterns
- Exposure to RDBMS/NoSQL
- Test Driven Development Methodology
Good to Have
- Working in cloud-native environments (preferably Azure)
- Microservices
- Enterprise Design Patterns
- Microservices Architecture
- Distributed Systems
C#
.NET
Follow CutshortShubham Vishwakarma
Full Stack Developer - Averlon