Team Lead

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 very high when compared to the industry average and that's primarily because you get to work with Companies / Brand managers / Marketers of different 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!

Apply with your work links.

Job Role: Video Editor

Experience Level: 1.5+ years

Location: Bangalore, Onsite.

Responsibilities:-

● Creation of Social media posts, reels, long format videos, etc .

● Edit videotapes, insert music, dialogue, and sound effects, and arrange films into sequences.

● Correct errors, using editing equipment.

● Must know motion graphics.

● Minimum 8-10 edits in a day.

● Should be a master in Adobe After Effects, Photoshop, Illustrator and Adobe Premiere Pro.

● Edit a variety of formats from high-energy Reels and social ads to brand stories, promos,

interviews, and documentaries.

● Take the lead on post-production: cutting, pacing, audio mixing, color correction, and final exports.

● Collaborate with directors, producers, and designers to bring scripts and concepts to life.

● Keep output quality consistent and crisp even when timelines are tight.

● Receive and implement feedback like a pro clear, fast, and fuss-free.

Apply with your work links.

Data Scientist

Job Title: Data Scientist – Data and Artificial Intelligence

Location: Hyderabad

Job Type: Full-time

Company Description:

Qylis is a leading provider of innovative IT solutions, specializing in Cloud, Data & AI, 

and Cyber Security. We help businesses unlock the full potential of these technologies 

to achieve their goals and gain a competitive edge. Our unique approach focuses on 

delivering value through bespoke solutions tailored to customer specific needs. We are 

driven by a customer-centric mindset and committed to delivering continuous value 

through intellectual property accelerators and automation. Our team of experts is 

passionate about technology and dedicated to making a positive impact. We foster an 

environment of growth and innovation, constantly pushing the boundaries to deliver 

exceptional results. Website: www.qylis.com, LinkedIn: 

www.linkedin.com/company/qylis

Job Summary

We are an engineering organization collaborating directly with clients to address 

challenges using the latest technologies. Our focus is on joint code development with 

clients' engineers for cloud-based solutions, accelerating organizational progress. 

Working with product teams, partners, and open-source communities, we contribute to 

open source, striving for platform improvement. This role involves creating impactful 

solution patterns and open-source assets. As a team member, you'll collaborate with 

engineers from both teams, applying your skills and creativity to solve complex 

challenges and contribute to open source, while fostering professional growth.

Responsibilities

• Researching and developing production-grade models (forecasting, anomaly 

detection, optimization, clustering, etc.) for global cloud business by using 

statistical and machine learning techniques.

• Manage large volumes of data, and create new and improved solutions for data 

collection, management, analyses, and data science model development.

• Drive the onboarding of new data and the refinement of existing data sources 

through feature engineering and feature selection.

• Apply statistical concepts and cutting-edge machine learning techniques to 

analyze cloud demand and optimize data science model code for distributed 

computing platforms and task automation.

• Work closely with other data scientists and data engineers to deploy models that 

drive cloud infrastructure capacity planning.

• Present analytical findings and business insights to project managers, 

stakeholders, and senior leadership and keep abreast of new statistical / 

machine learning techniques and implement them as appropriate to improve 

predictive performance.

• Oversees the analysis of data and leads the team in identifying trends, patterns, 

correlations, and insights to develop new forecasting models and improve 

existing models.

• Leads collaboration among team and leverages data to identify pockets of 

opportunity to apply state-of-the-art algorithms to improve a solution to a 

business problem.

• Consistently leverages knowledge of techniques to optimize analysis using 

algorithms.

• Modifies statistical analysis tools for evaluating Machine Learning models. 

Solves deep and challenging problems for circumstances such as when model 

predictions are not correct, when models do not match the training data or the 

design outcomes when the data is not clean when it is unclear which analyses to 

run, and when the process is ambiguous.

• Provides coaching to team members on business context, interpretation, and the 

implications of findings. Interprets findings and their implications for multiple 

businesses, and champions methodological rigour by calling attention to the 

limitations of knowledge wherever biases in data, methods, and analysis exist.

• Generates and leverages insights that inform future studies and reframe the 

research agenda. Informs both current business decisions by implementing and 

adapting supply-chain strategies through complex business intelligence.

Qualifications

• M.Sc. in Statistics, Applied Mathematics, Applied Economics, Computer 

Science or Engineering, Data Science, Operations Research or similar applied 

quantitative field

• 7+ years of industry experience in developing production-grade statistical and 

machine learning code in a collaborative team environment.

• Prior experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel).

• Prior experience working on Computer Vision Project is an Add on 

• Knowledge on AWS and Azure Cloud.

• Prior experience in time series forecasting.

• Prior experience with typical data management systems and tools such as SQL.

• Knowledge and ability to work within a large-scale computing or big data context, 

and hands-on experience with Hadoop, Spark, DataBricks or similar.

• Excellent analytical skills; ability to understand business needs and translate 

them into technical solutions, including analysis specifications and models.

• Experience in machine learning using R or Python (scikit / numpy / pandas / 

statsmodel) with skill level at or near fluency.

• Experience with deep learning models (e.g., tensorflow, PyTorch, CNTK) and solid 

knowledge of theory and practice.

• Practical and professional experience contributing to and maintaining a large 

code base with code versioning systems such as Git.

• Creative thinking skills with emphasis on developing innovative methods to solve 

hard problems under ambiguity.

• Good interpersonal and communication (verbal and written) skills, including the 

ability to write concise and accurate technical documentation and communicate 

technical ideas to non-technical audiences.

• Develop, test, and maintain server-side applications using Node.js and related technologies.
• Design and implement RESTful APIs and microservices architecture to support frontend functionality.
• Collaborate with cross-functional teams to understand business needs and translate them into technical solutions.
• Optimize application performance, ensuring scalability and reliability.
• Conduct code reviews, mentor junior developers, and ensure adherence to best practices.
• Stay updated with emerging backend technologies and methodologies to improve development processes.

Mandatory

• SaaS experience of 2 years with total development experience of 4 years
• Must have worked in a smaller company of less than 100
• Should have built solutions/softwares end to end and not just as a part of bigger team
• Should see themselves going deeper into the same role even 5 years down the line
• Should have knowledge on Node.js, MongoDB, and AWS
• Strong understanding of asynchronous programming, event-driven architecture, and Node.js design patterns.
• Proficiency in working with databases such as PostgreSQL, MongoDB, or MySQL.
• Experience with API development, including RESTful services and microservices.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong problem-solving skills and the ability to debug complex server-side issues.

Essential

• Proficiency with version control systems like Git.
• Experience with CI/CD pipelines and deployment automation.
• Knowledge of system design and scalable architecture.
• Understanding of security best practices and implementing secure APIs.

Good to Have

• Experience with GraphQL and related backend technologies.
• Knowledge of containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with message brokers like RabbitMQ or Kafka.
• Experience with platforms like Shopify, BigCommerce, or other e-commerce technologies.
• Exposure to frontend technologies such as React for better cross-functional collaboration.

Job description

Role & responsibilities

1. Lead Identification: Identify qualified prospects and navigate company structures to pinpoint decision-makers.
2. Outbound Prospecting: Generate appointments through proactive outbound prospecting techniques.
3. Collaboration: Collaborate directly with sales and marketing departments to discover opportunities from leads.
4. Outreach Methods: Utilize a combination of outreach mechanisms, such as calls, emails, marketing automation tools (e.g., HubSpot), LinkedIn InMails, etc., to nurture leads.
5. Lead Conversion: Pursue leads with persistence to convert them into business opportunities.
6. Continuous Learning: Familiarize yourself with, leverage, and help evolve the company's demand generation process.

Preferred candidate profile

1. Experience: Minimum of 1 year in Business Development, preferably catering to international clients in the US region within a Software/High Tech company.
2. Attitude: Fearless, willing to take intelligent risks, and ready to work hard.
3. Daily Activity: Should maintain a high volume of outbound calling activity while preserving a positive and energetic demeanor.
4. Problem Solving: Capable of addressing challenges and finding solutions.
5. Teamwork: Ability to work collaboratively in a team environment.
6. Communication Skills: Must be articulate with a robust business acumen and have persuasive communication abilities.

Perks and benefits

- Good Salary as per the industry benchmarks

- Flexible Work environment with 4 + 1 days hybrid model

- Free lunch & dinner buffet

- Doorstep cab drop facility.

- We also provide great incentives, bonus plans and opportunities to employees.

We are looking for a DevOps Engineer (individual contributor) to maintain and build upon our next-generation infrastructure. We aim to ensure that our systems are secure, reliable and high-performing by constantly striving to achieve best-in-class infrastructure and security by:

• Leveraging a variety of tools to ensure all configuration is codified (using tools like Terraform and Flux) and applied in a secure, repeatable way (via CI)
• Routinely identifying new technologies and processes that enable us to streamline our operations and improve overall security
• Holistically monitoring our overall DevOps setup and health to ensure our roadmap constantly delivers high-impact improvements
• Eliminating toil by automating as many operational aspects of our day-to-day work as possible using internally created, third party and/or open-source tools
• Maintain a culture of empowerment and self-service by minimizing friction for developers to understand and use our infrastructure through a combination of innovative tools, excellent documentation and teamwork

Tech stack: Microservices primarily written in JavaScript, Kotlin, Scala, and Python. The majority of our infrastructure sits within EKS on AWS, using Istio. We use Terraform and Helm/Flux when working with AWS and EKS (k8s). Deployments are managed with a combination of Jenkins and Flux. We rely heavily on Kafka, Cassandra, Mongo and Postgres and are increasingly leveraging AWS-managed services (e.g. RDS, lambda).

• Prepare, rewrite and edit copy to improve readability, or supervise others who do this work.
• Read copy or proof to detect and correct errors in spelling, punctuation, and syntax
• Plan the contents of publications according to the publication's style, editorial policy, and publishing requirements.
• Verify facts, dates, and statistics, using standard reference sources.
• Review and approve proofs submitted by composing room prior to publication production.
• Read, evaluate and edit manuscripts or other materials submitted for publication and confer with authors regarding changes in content, style or organization, or publication.
• Make manuscript acceptance or revision recommendations to the publisher.

Experience

• Able to perform edit/proofread independently and make the work done by the team members delivery ready
• Graduation / Post Graduation (Bsc/Msc) especially English savvy candidates with English, journalism. Excellent written communication skills Ability to structure sentences well.
• Postgraduate in any field of science/humanities; good command over the English language; an eye for detail; exposure to various style guides; readiness to meet daily/monthly productivity targets; and maintaining the expected quality norms

Desirable

• Good communication skills; team player; problem-solving skills; proactive and innovative
• Mandatorily must have experience in Language Editing, Level-2, Medical Journal, and also knowledge about QC.

• Achieve monthly partner lead generation and closure targets
• Development and appointing of new partners for the company
• Managing existing and new partners
• Generating qualified leads through partners across locations
• Interfacing with internal Sales team for timely action on partner leads
• Ensuring CRM is updated daily with daily activities and with correct details
• Assist partner in maintaining leads and opportunities in CRM
• Daily, weekly, and monthly reporting to manager

• Achieving monthly designated targets for each designated location
• Appointing new partners regularly in designated locations
• Developing the new partners to become independent sales partners for the company in a given period of time
• Maintaining a healthy leads and opportunities funnel to achieve sales targets

• Partner management skills
• Ability to manage time effectively
• Good communication skills in English and Hindi
• Self-starter and self-motivated
• Thrives in a competitive environment
• Software demo skills
• Inter department skills to ensure smooth working between teams