Graphic Designer

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: Senior Social Media Account Manager

Experience Level: 3+ years in Agency set-up

Location: Bangalore, On-site

Job Description:

● Create campaign strategies and monitor the execution to achieve the brand objectives.

● Manage social handles of the brand, like Instagram, Facebook, LinkedIn, X etc.

● Develop, implement and manage a brand's social media strategy on a monthly basis.

● In-depth knowledge of social media marketing, market trends, integration of online with offline marketing and reporting.

● Measure the success of every social media campaign, as per required metrics.

● Work with copywriters and designers to ensure content is well-suited and appealing to the defined target group for respective brands.

● Communicate with industry professionals and 3rd party vendors if and when required.

● Provide constructive feedback to the team(copy & design) to achieve desired results.

Requirements:

1. Bachelor's degree in Marketing, Communications, or a related field (Master's degree preferred).

2. 3+ years of proven experience in social media management within a client-based agency or related environment. 3. Demonstrated success in devising and executing impactful social media strategies for a variety of clients.

4. Excellent written and verbal communication skills, conveying ideas clearly to internal teams and clients.

5. Profound understanding of social media platforms, algorithms, content formats, and best practices.

6. Proven track record of generating exceptional results via integrated marketing strategies(online+offline).

Role Overview

We are looking for a highly skilled and intellectually curious Senior Data Scientist with 7+ years of experience in applying advanced machine learning and AI techniques to solve complex business problems. The ideal candidate will have deep expertise in Classical Machine Learning, Deep Learning, Natural Language Processing (NLP), and Generative AI (GenAI), along with strong hands-on coding skills and a proven track record of delivering impactful data science solutions. This role requires a blend of technical excellence, business acumen, and collaborative mindset.

Key Responsibilities

• Design, develop, and deploy ML models using classical algorithms (e.g., regression, decision trees, ensemble methods) and deep learning architectures (CNNs, RNNs, Transformers).
• Build NLP solutions for tasks such as text classification, entity recognition, summarization, and conversational AI.
• Develop and fine-tune GenAI models for use cases like content generation, code synthesis, and personalization.
• Architect and implement Retrieval-Augmented Generation (RAG) systems for enhanced contextual AI applications.
• Collaborate with data engineers to build scalable data pipelines and feature stores.
• Perform advanced feature engineering and selection to improve model accuracy and robustness.
• Work with large-scale structured and unstructured datasets using distributed computing frameworks.
• Translate business problems into data science solutions and communicate findings to stakeholders.
• Present insights and recommendations through compelling storytelling and visualization.
• Mentor junior data scientists and contribute to internal knowledge sharing and innovation.

Required Qualifications

• 7+ years of experience in data science, machine learning, and AI.
• Strong academic background in Computer Science, Statistics, Mathematics, or related field (Master’s or PhD preferred).
• Proficiency in Python, SQL, and ML libraries (scikit-learn, TensorFlow, PyTorch, Hugging Face).
• Experience with NLP and GenAI tools (e.g., Azure AI Foundry, Azure AI studio, GPT, LLaMA, LangChain).
• Hands-on experience with Retrieval-Augmented Generation (RAG) systems and vector databases.
• Familiarity with cloud platforms (Azure preferred, AWS/GCP acceptable) and MLOps tools (MLflow, Airflow, Kubeflow).
• Solid understanding of data structures, algorithms, and software engineering principles.
• Experience with Aure, Azure Copilot Studio, Azure Cognitive Services
• Experience with Azure AI Foundry would be a strong added advantage

Preferred Skills

• Exposure to LLM fine-tuning, prompt engineering, and GenAI safety frameworks.
• Experience in domains such as finance, healthcare, retail, or enterprise SaaS.
• Contributions to open-source projects, publications, or patents in AI/ML.

Soft Skills

• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Ability to work independently and collaboratively in cross-functional teams.
• Passion for continuous learning and innovation.

Profile : Java Developer

Experience : 3+ Years

Location : Pune (Viman Nagar)

Mode : 5 Days WFO

(Only immediate joiners & candidates serving notice period)

Roles :

- Java Application Developer

- Microservices Architect

- API Developer

- Code Reviewer

- Technical Problem Solver

- Database Integration Specialist

- Team Collaborator

Responsibilities :

- Design, develop, and maintain Java-based applications using Spring Boot

- Build and deploy microservices architecture following best practices

- Develop RESTful APIs and web services for integration

- Write clean, efficient, and well-documented code

- Implement design patterns for scalable solutions

- Work with databases (MySQL, PostgreSQL) for data management

- Perform comprehensive code reviews and testing

- Collaborate with cross-functional teams (Frontend, QA, DevOps)

- Participate in Agile/Scrum development processes

- Translate business requirements into technical solutions

- Troubleshoot and debug complex application issues

- Follow CI/CD practices for smooth deployment

- Monitor and optimize application performance

ROLES AND RESPONSIBILITIES

We are looking for an experienced Logistics Executive with 5 years of proven expertise in managing end-to-end logistics operations, transportation coordination, warehouse management, and supply chain optimization. The ideal candidate should have strong analytical, coordination, and problem-solving skills, with a solid understanding of logistics software and industry best practices.

• Plan, implement, and monitor inbound and outbound logistics operations.
• Coordinate with suppliers, transporters, warehouses, and internal departments to ensure smooth and timely deliveries.
• Optimize transportation costs and delivery timelines through effective route planning and carrier negotiation.
• Monitor inventory levels, stock movements, and ensure proper documentation and record-keeping.
• Track shipments and resolve issues related to delays, damages, or losses.
• Analyze logistics data and prepare regular reports on KPIs (cost, delivery times, inventory levels, etc.).
• Continuously improve processes to increase efficiency and reduce operational costs.
• Use ERP/logistics software (e.g., SAP, Oracle, TMS, WMS) for planning and execution.
• Bachelor’s degree in Logistics, Supply Chain Management, Business Administration, or a related field.
• 5 years of hands-on experience in logistics or supply chain roles.
• Knowledge of logistics procedures, transportation management, and inventory control.

Minimum Qualifications:

1. Bachelor's degree in Commerce (B.Com) or equivalent.

Preferred Skillsets:

1. Proficiency in advanced Excel functions, such as pivot tables, VLOOKUP, and macros.

2. Hands-on experience with Excel.

3. Strong interpersonal skills to effectively collaborate with Customers and team members.

4. Logical reasoning and problem-solving capability to identify and resolve discrepancies.

5. Attention to detail and accuracy in data analysis.

6. Ability to work both independently and collaboratively within a team.

7. Excellent verbal and written communication skills.

8. Time management and organizational skills.

9. Basic knowledge of accounting principles.

Responsibilities:

1. Perform regular reconciliation of customer accounts to verify the accuracy of financial transactions.

2. Analyze financial data identify discrepancies or anomalies, and investigate the root causes.

3. Prepare and maintain detailed reports and documentation of reconciliation activities.

4. Monitor and report on key performance indicators related to account reconciliation.

• Bridging the gap between end-users and business team
• Gap Analysis for the entire process life cycle to streamline the TAT
• Data Analysis for the marketing campaigns, loan disbursement and ad-hoc search engine optimization lead management
• Liasioning with the customer service team to help resolve any borrower queries
• Working with Inside Sales, Customer Service, and Operations Teams to facilitate a smooth working between the stakeholders in all modes of communication

Desired Candidate Profile

• Graduation from Tier- 1/Tier- 2 institute
• 1.5 to 2 years of experience in a multi-stakeholder environment building relationships with internal and external stakeholders in fin-techs, banking, or broader financial services
• Experience in data analysis (Dashboards)
• Good problem articulation & problem-solving skills
• Advanced knowledge in MS Excel and PowerPoint
• Good presentation and communications skill