SEO Manager

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.

Why Moshi Moshi?

The learning curve at Moshi Moshi is significantly higher than the industry average, primarily because you work with companies, brand managers, and marketers of various sizes and thought processes who push you to think better and faster. So, hop on to the ride we dearly call

Moshi Moshi and let's Say hello to the world.

PS:- We are also very close to a lot of food joints and breweries, so in case your manager/boss gives

you a lot of work or is Expecting the Extra, you can quickly grab a recharge and continue with your

everyday life struggles. We can't do much about the manager!

Job Role: Copywriter

Experience Level: 2 years

Location: Bangalore, Onsite

Responsibilities:

● Brainstorm and bring ideas to life alongside the creative team.

● Understand client briefs and decode the communication for advertising campaigns.

● Take feedback from supervisors and make necessary corrections.

● Work on content calendars with the AMs.

● Write clear, persuasive, and original copy for print, web, radio and TV advertisements. These

include slogans, catchphrases, messages, scripts, jingles and taglines.

● Collaborate with functional teams to execute client briefs.

● Experiment with new content trends that can be utilized for client pitches, client briefs and

new partnerships.

● Able to work on small to midsize pitches

● Network with clients and industry professionals.

Requirements:

● High energy levels are a must.

● 2 years of Agency experience.

● Degree in English Honors, Journalism, Communications or relevant field.

1.Plan and perform data migration into the new systems from the existing legacy ERP.

2.Should have working knowledge coding in C# with latest syntax of .Net.

• Should have sound knowledge around OOPS and aware of its applications - classes, interfaces, inheritence and composition
• Should have sound knowledge in SQL Queries.

3.Working knowledge in Dynamics 365 customizations and configurations including workflows, plugins, custom workflow activities, javascript, sitemap/ribbon customizations,

4.Should have written C#/Javascript code to consume D365 APIs or any other APIs externally. Knowledge in SSIS/KWS, SCRIBE is an advantage.

• Should have experience in writing D365 Fetch-based reports.
• Sound functional knowledge in atleast 1or2 of Sales, Service and Marketing modules.
• Strong HTML5 an CSS skills is a must.
• JQuery

5.Experience developing and deploying business applications using Microsoft's Dynamics Power Platform.

6.Core Skills: D365, CRM SDK, XRM Toolbox, Model Driven Power Apps and Power Automate

7.Train new users on the functionality of the CRM Platform

8.Conduct refresher courses on the usage of the platform

9.Maintain log of all changes done on the Platform.

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Work closely with Product Managers to drive product improvements through data driven decisions.

Conduct analysis to determine new project pilot settings, new features, user behaviour, and in-app behaviour.

Present insights and recommendations to leadership using high quality visualizations and concise messaging.

Own the implementation of data collection and tracking, and co-ordinate with engineering and product team.

Create and maintain dashboards for product and business teams.

Requirements

1+ years’ experience in analytics. Experience as Product analyst will be added advantage.

Technical skills: SQL, Advanced Excel

Good to have: R/Python, Dashboarding experience

Ability to translate structured and unstructured problems into analytical framework

Excellent analytical skills

Good communication & interpersonal skills

Ability to work in a fast-paced start-up environment, learn on the job and get things done.

Requirements:

• Bachelor's or master’s degree in computer science or equivalent work experience.
• A solid understanding of the full web technology stack and experience in developing web applications
• Strong experience with React JS framework for building visually appealing interfaces and back end frameworks like Django
• Knowledge of multiple front-end languages and libraries (e.g. HTML/ CSS, JavaScript, XML, jQuery)
• Good knowledge of object-oriented programming and data structures in Python
• Experience with NoSQL databases, web server technologies, designing, and developing APIs.
• Strong knowledge and work experience in AWS cloud services
• Proficiency with Git, CI/CD pipelines.
• Knowledge in Agile/Scrum processes.
• Experience in Docker container usage.

Roles and responsibilities:

• Develop sophisticated web applications for drone control, data management, security, and data protection.
• Build scalable features using advanced framework concepts such as Microservices, Queues, Jobs, Events, Task Scheduling, etc.
• Integrate with Third-Party APIs/services
• Use theoretical knowledge and/or work experience to find innovative solutions to the problems at hand.
• Collaborate with team members to ideate solutions.
• Troubleshoot, debug, and upgrade existing software.
• Passionate to learn and adapt in a start-up environment.

Perks:

• Hands-on experience with state of the art facilities we use for robot development.
• Opportunity to work with industry experts and researchers in the field of AI, Computer Vision, and Machine Learning.
• Competitive salary.
• Stock options.
• Opportunity to be an early part of the team and grow with the startup.
• Freedom of working schedule.
• Opportunity to kickstart and lead your own projects.

1. Bachelor's degree in Computer Science, Engineering or related field, or equivalent training, fellowship, or work experience
2. 2+ years of practical experience in Native Android Development
3. 2+ years of experience using Kotlin/Java
4. Experience developing highly performant code and view layouts and the ability to diagnose performance bottlenecks
5. Designing applications with latest frameworks and architecture such as MVVM, etc.
6. An excellent understanding of best practices for concurrency and threading is a big plus
7. A disciplined approach to development, testing, documentation and code structure in a team environment
8. A constant desire to improve, learn more and take things higher
9. Having worked with the Realm database and dagger is a big plus.

Job description :

Functional a. Build client relationship

1. Manage Development and Delivery of technical solutions
2. Manage ways to work across departments including outsource partner
3. Deep dive into Technical integration, content ingestion & reporting of viewership & revenue numbers et.al.
4. Support and maintain technology development strategy
5. Aligning Solutions with architecture
6. Develop coding standards
7. Requirement understanding
8. Provide technical leadership and innovation across all aspects of technology development including Engineering, Bas, QAs, UI/UX etc.
9. Manage delivery teams which includes recruit hire, train, supervise, coach and mentor
10. Project Management Skills
11. Manage Deadlines
12. Manage Deliveries
13. Manage Customers
14. Multitasking
15. Reporting – Customers / ELT
16. Assist in talent acquisition
17. Applying Agile principles in delivery
18. Upto date with latest technology and innovation
19. Good communicator
20. Good understanding of CDN

1. Technical Documentation
2. Coding Best Practices a. Guidelines for Coding Best Practices
3. Cloud Best Practices

1. Tech. Stack Selection
2. Code Review
3. Regression, Functional and Automation QA
4. Caching technologies
5. Tech. Approval & Sign-Off
6. Site / App Performance a. Load & Performance testing
7. Automation testing
8. Code Coverage

1. Code walk-thru
2. System Upgrade
3. Effort Estimation
4. R&D
5. Technical Evaluation a. RFP technical evaluation

1. Deployment
2. Integration
3. Assist in resolving Technical Problems
4. Map Security & Compliance
5. Support Project Management
6. Support DevOps
7. Conducting Technical

We are looking for an outstanding ML Architect (Deployments) with expertise in deploying Machine Learning solutions/models into production and scaling them to serve millions of customers. A candidate with an adaptable and productive working style which fits in a fast-moving environment.

Skills:

- 5+ years deploying Machine Learning pipelines in large enterprise production systems.

- Experience developing end to end ML solutions from business hypothesis to deployment / understanding the entirety of the ML development life cycle.
- Expert in modern software development practices; solid experience using source control management (CI/CD).
- Proficient in designing relevant architecture / microservices to fulfil application integration, model monitoring, training / re-training, model management, model deployment, model experimentation/development, alert mechanisms.
- Experience with public cloud platforms (Azure, AWS, GCP).
- Serverless services like lambda, azure functions, and/or cloud functions.
- Orchestration services like data factory, data pipeline, and/or data flow.
- Data science workbench/managed services like azure machine learning, sagemaker, and/or AI platform.
- Data warehouse services like snowflake, redshift, bigquery, azure sql dw, AWS Redshift.
- Distributed computing services like Pyspark, EMR, Databricks.
- Data storage services like cloud storage, S3, blob, S3 Glacier.
- Data visualization tools like Power BI, Tableau, Quicksight, and/or Qlik.
- Proven experience serving up predictive algorithms and analytics through batch and real-time APIs.
- Solid working experience with software engineers, data scientists, product owners, business analysts, project managers, and business stakeholders to design the holistic solution.
- Strong technical acumen around automated testing.
- Extensive background in statistical analysis and modeling (distributions, hypothesis testing, probability theory, etc.)
- Strong hands-on experience with statistical packages and ML libraries (e.g., Python scikit learn, Spark MLlib, etc.)
- Experience in effective data exploration and visualization (e.g., Excel, Power BI, Tableau, Qlik, etc.)
- Experience in developing and debugging in one or more of the languages Java, Python.
- Ability to work in cross functional teams.
- Apply Machine Learning techniques in production including, but not limited to, neuralnets, regression, decision trees, random forests, ensembles, SVM, Bayesian models, K-Means, etc.

Roles and Responsibilities:

Deploying ML models into production, and scaling them to serve millions of customers.

Technical solutioning skills with deep understanding of technical API integrations, AI / Data Science, BigData and public cloud architectures / deployments in a SaaS environment.

Strong stakeholder relationship management skills - able to influence and manage the expectations of senior executives.
Strong networking skills with the ability to build and maintain strong relationships with both business, operations and technology teams internally and externally.

Provide software design and programming support to projects.

 Qualifications & Experience:

Engineering and post graduate candidates, preferably in Computer Science, from premier institutions with proven work experience as a Machine Learning Architect (Deployments) or a similar role for 5-7 years.