Business development

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 - Operations Intern

Experience Level - 0 – 1 year

Location - Bangalore

Type - Internship (Full-time, In-office)

Job Summary:

We are looking for an energetic and proactive Operations Intern to join our team. This role is ideal for someone who is organized, detail-oriented, and eager to learn the ins and outs of business operations within a fast-paced communication company. You will work directly

under the guidance of the team and collaborate across departments to keep things running smoothly.

Key Responsibilities –

1. Minutes of Meeting (MoM): Accurately document minutes during key meetings, ensure timely circulation, and track action points.

2. Follow-ups: Manage follow-ups with stakeholders across departments to ensure timely closure of tasks and deliverables.

3. Communication: Act as a bridge between teams, ensuring clear and consistent communication across departments.

4. Day-to-Day Operations: Support daily operational tasks such as tracking project timelines, updating reports, managing documentation, and internal process coordination along with the team.

5. Assisting The Team: Provide administrative and execution support to the team in task management, planning, and process improvement initiatives.

6. Cross-functional Coordination: Work closely with design, marketing, accounts, and HR teams to support internal workflows.

7. Task Tracking: Help maintain and update internal dashboards, trackers, and productivity sheets.

Skills & Requirements –

● Strong verbal and written communication skills

● Proficiency in MS Office / Google Workspace tools (Docs, Sheets, Slides)

● Good organizational and multitasking abilities

● Analytical mindset with attention to detail

● Ability to take ownership of tasks and work independently

● Eagerness to learn and grow within a creative and dynamic environment

If you're someone who thrives in an organized chaos, loves ticking off checklists, and can keep teams on track — this internship is your stage! Let’s talk and get you started on a journey with us.

Need a Native Latin American Candidate only.

● Candidate must have an Ecommerce background.

● Candidate should speak Spanish fluently.

● Should be strong in Supply Chain

● Need candidates from 3 PL only

● Candidate should have Minimum of 8+ years of progressive experience in warehouse, distribution, or logistics management, with at least 5 years in a senior management or director-level position.

● Salary will be 70 k USD to 85 k USD Fixed.

GL, AR, Expenses. May need Cash Management if it becomes in scope.

Load Rapid Implementation spreadsheet, GL Allocations, Journal, AP, Expense approval workflow & SLA configs

POSITION SUMMARY:

Should have completed minimum TWO end-to-end Fusion Finance implementation, up-gradation, lift & shift and support projects experience,

  Experience in Oracle Cloud (Fusion) Financials Functional in GL, AP, AR, FA, Cash Management, FAH, Intercompany, Expenses Management, RMCS, Procurement modules,

  Should understand business requirements, fit-gap analysis, and preparation of functional design documents,

  Should be able to manage the Finance track independently, interact with clients, conduct business requirements and training sessions, etc,

  Should conduct CRP, UAT & SIT sessions with clients/stakeholders,

  Experience in implementing financials cloud, configuring workflows, issue resolution and customization across all finance modules,

  Solid understanding of Enterprises Structure, COA, Structure, and Hierarchies, Flex fields, extensions set up in Fusion Financials,

  Experience in working with Oracle support for various issue resolutions,

  Experience in various financial data upload/migration technique (FBDI & ADFDi) and related issue resolutions,

  Reporting (Financial Reporting Studio (FRS), SmartView, OTBI),

  Experience in supporting Period closure activities,

  Knowledge on tax (Withholding and Transaction tax) setups,

  Experience in reconciliation financial data between GL and Subledger modules,

  High-level Knowledge of end-to-end integrations of Financials modules with other modules like Projects/Procurement/SCM/HCM,

  High-level Knowledge of other fusion modules (SCM or PPM) functionality is a plus,

  Should have excellent communication and presentation, strong analytical and problem-solving skills.

  Qualifications

  Graduation from a reputed institute,

  CA/CWA/CA-Inter or MBA will be an added advantage,

  Oracle fusion certifications will be an added advantage,

• 1 - 5 years of Experience
• Strong Experience in HTML 5, CSS 3 and Bootstrap 3,4 
• Material UI
• Responsive design in website and mobile
• Grid System
• React.js an added advantage

Ability to learn quickly and work in a fastest growing technology

Experience:4-7years

Package: Exp- 3.5X max

Location: Hyderabad Location (WFO)

Skillset: Java developer with spring boot and microservices

Note: If you get selected you need to come and work in the office Hyderabad location

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.