Sr. Data Scientist

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 & Corporates 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, coders and a puppy momo, who believe Moshi Moshi is an experience rather than a company.

Job Role - Social Media Executive

Experience Level - 1 year

Location - Bangalore

Responsibilities:

● Create Campaign Strategies and monitor the execution to achieve the brand objective

● Objective Identification and delivery via curating the best digital strategy

● Managing and Supervising Facebook ads, Instagram Ads, Twitter Ads, and Linkedin Ads

● Handling social pages of Instagram, Facebook, LinkedIn, etc.

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

● Define the most important social media KPIs.

● In-depth knowledge of paid marketing and daily implementation, reporting, and running of

paid marketing on all social platforms.

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

● Stay up to date with the latest social media best practices and updates

● Work with copywriters and designers to ensure content is informative and appealing or has

relevant writing capability.

● Monitor SEO and user engagement and suggest content optimization.

● Communicate with industry professionals and influencers to create a strong network via

social media.

● Provide constructive feedback to the team and train them to achieve desired results.

1.   Design and produce high-quality motion graphics / graphics for digital and print media, Swastik's IP, websites and Social Media pages of Swastik Productions.

2.   Collaborate with other teams to conceptualize and execute design.

3.   Ensure all designs are aligned with the brand guidelines.

4.   Generating AI videos and images using Chat GPT and mid-journey

5.   Develop illustrations, logos, animation, and other design elements as needed.

6.   Work on photo editing, retouching, and enhancing visual content.

7.   Ensure timely delivery of content.

8.   Adapt and modify designs based on team feedback.

9.   Any additional ad hoc work as assigned by the line manager.

We are seeking a detail-oriented Payroll & Compliance Executive to manage end-to-end payroll, attendance validation, statutory compliance, and salary disbursement for a multi-client passenger transport business.

The role also includes managing employee and trip data through our own ERP system and ensuring accurate vehicle vs. employee deployment reconciliation, directly impacting billing accuracy and profitability.

Key Responsibilities:-

Payroll Management:

• Process monthly payroll across multiple client deployments
• Ensure accurate computation of:
• Salary components (Basic, HRA, allowances)
• Overtime, incentives, reimbursements
• Deductions (PF, ESI, PT, TDS, insurance, advances)
• Generate payslips and manage Full & Final (F&F) settlements

Attendance Management:

• Collect and validate attendance from:
• Roorides ERP reports
• Client MIS / biometric systems
• Manual inputs (if any)
• Verify:
• Working days, weekly offs, holidays
• Overtime, shift patterns
• Absenteeism and leave records
• Resolve discrepancies with Operations prior to payroll processing

Roorides ERP – Employee Management:

• Manage employee lifecycle and deployment data on Roorides (internal ERP system)
• Key activities:
• Employee onboarding and profile management
• Updating employee status (active / inactive / transfer)
• Spare Driver or Monitor approval
• Ensure Roorides data integrity and alignment with payroll and attendance
• Act as a control point for employee accuracy across operations

Salary Approval & Payment Processing:

• Prepare client-wise and consolidated payroll sheets
• Obtain management approval before disbursement
• Coordinate with Accounts for Salary funding
• Ensure timely salary credit to employees
• Reconcile salary payments with bank records

Client-wise Payroll Handling:

• Maintain separate payroll structures for each client
• Manage variations in Salary structures and compliance applicability
• Ensure accurate employee-client mapping

Billing & Payroll Reconciliation:

• Reconcile salary payouts vs client billing
• Identify:
• Cost vs billing variances
• Missing or excess billing
• Support invoice validation with Accounts team

Vehicle vs Employee Deployment Reconciliation:

• Validate:
• Vehicle operating days vs employee attendance
• Trip data (Roorides) vs payroll records
• Identify and control:
• Employees paid but not deployed
• Vehicles billed without manpower
• Idle manpower vs active fleet
• Ensure complete alignment between trip data, attendance, payroll, and billing

Statutory Compliance:

• Ensure timely and accurate filing of:
• PF via Employees' Provident Fund Organisation
• ESI via Employees' State Insurance Corporation
• PT and TDS (Form 24Q, Form 16)
• Maintain statutory registers and documentation
• Ensure compliance with:
• Payment of Wages Act
• Minimum Wages Act
• Payment of Bonus Act
• Gratuity Act

Compliance Mapping:

• Maintain compliance applicability matrix as per client
• Ensure PF/ESI eligibility accuracy and employee enrollment
• Support audits and inspections

MIS & Reporting:

• Prepare:
• Payroll summaries
• Attendance reports
• Roorides vs payroll reconciliation
• Vehicle-wise manpower and cost reports
• Client profitability reports
• Ensure MIS submission within defined timelines

Coordination:

• HR: Employee lifecycle data
• Accounts: Salary processing, billing, reconciliation
• Compliance: labour departments and related parties
• Operation team: employee documentation and onboarding

Key Requirements:

Qualification:

• B.Com / M.Com / MBA (HR/Finance preferred)

Experience:

• 1– 2 years in payroll, compliance, and attendance
• Experience in transport / fleet / staffing environment preferred

Technical Skills:

• Advanced Excel / Google Sheets (reconciliation, MIS, control reports)
• Payroll software knowledge  
• Hands-on experience with ERP systems (Tally or similar preferred)

nings: 30

Salary: ₹15,000 – ₹18,000 (In-hand)

Languages Required: English, Hindi

Experience: 0 – 5 Years

Qualification: 12th Pass or Graduate

Age Limit: 18 – 30 Years

Notice Period: Immediate

Skills Required: Communication, Excel, Computer Basics

About the Role

Are you a strong communicator with a customer-first mindset? Altruist Technologies is on the lookout for enthusiastic individuals to join our Customer Care – Inbound Process team. Whether you're a fresher or an experienced professional, this is your chance to become part of a growing BPO that values empathy, professionalism, and performance.

Key Responsibilities

• 📞 Inbound Call Handling: Provide courteous and professional assistance to customers calling in with queries, complaints, or product-related concerns.
• 💡 Product Guidance: Understand customer needs, suggest suitable solutions, and provide clear, helpful information about company products and services.
• 🧾 Order and Payment Support: Assist with the order process, including taking payments and updating account details.
• 📋 Data Accuracy: Maintain accurate customer records in the system while actively engaging with callers.
• 🚀 Escalation Management: Identify and escalate complex issues to supervisors or team leads when needed.
• 🤝 Customer Connection: Maintain a positive and empathetic attitude, even during challenging interactions.

What We’re Looking For

• Excellent communication skills in English and Hindi
• A calm, polite, and professional demeanor at all times
• Ability to multitask and stay organized while managing call flow and system entries
• A willingness to work in rotational shifts with a weekly off

Shift Window

• Female Candidates: Between 6:00 AM to 6:00 PM (Any 9-hour shift)
• Male Candidates: Between 6:00 AM to 12:00 AM (Any 9-hour shift)

Salary Structure

• Freshers: ₹15,000 (In-hand)
• Experienced Candidates (1+ Year): ₹16,500 (In-hand)

Why Join Us?

• ✅ Get hands-on experience in customer handling and service excellence
• 🌐 Work with a well-established company in a structured and supportive environment
• 💼 Build your skills in communication, problem-solving, and CRM
• 🚀 Career growth opportunities with performance-driven recognition

Data Scientist is responsible to discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver better products. Your primary focus will be in applying Machine Learning and Generative AI techniques for data mining and statistical analysis, Text analytics using NLP/LLM and building high quality prediction systems integrated with our products. The ideal candidate should have a prior background in Generative AI, NLP (Natural Language Processing), and Computer Vision techniques. Additionally, experience in working with current state of the art Large Language Models (LLMs), and Computer Vision algorithms.

Job Responsibilities:

»    Building models using best in AI/ML technology.

»    Leveraging your expertise in Generative AI, Computer Vision, Python, Machine Learning, and Data Science to develop cutting-edge solutions for our products.

»    Integrating NLP techniques, and utilizing LLM's in our products.

»    Training/fine tuning models with new/modified training dataset.

»    Selecting features, building and optimizing classifiers using machine learning techniques.

»    Conducting data analysis, curation, preprocessing, modelling, and post-processing to drive data-driven decision-making.

»    Enhancing data collection procedures to include information that is relevant for building analytic systems

»    Working understanding of cloud platforms (AWS).

»    Collaborating with cross-functional teams to design and implement advanced AI models and algorithms.

»    Involving in R&D activities to explore the latest advancements in AI technologies, frameworks, and tools.

»    Documenting project requirements, methodologies, and outcomes for stakeholders.

Technical skills

Mandatory

»    Minimum of 5 years  of experience as Machine Learning Researcher or Data Scientist.

»    Master's degree or Ph.D. (preferable) in Computer Science, Data Science, or a related field.

»    Should have knowledge and experience in working with Deep Learning projects using CNN, Transformers, Encoder and decoder architectures.

»    Working experience with LLM's (Large Language Models) and their applications (For e.g., tuning embedding models, data curation, prompt engineering, LoRA, etc.).

»    Familiarity with LLM Agents and related frameworks.

»    Good programming skills in Python and experience with relevant libraries and frameworks (e.g., PyTorch, and TensorFlow).

»    Good applied statistics skills, such as distributions, statistical testing, regression, etc.

»    Excellent understanding of machine learning and computer vision based techniques and algorithms.

»    Strong problem-solving abilities and a proactive attitude towards learning and adopting new technologies.

»    Ability to work independently, manage multiple projects simultaneously, and collaborate effectively with diverse stakeholders.

Nice to have

»    Exposure to financial research domain

»    Experience with JIRA, Confluence

»    Understanding of scrum and Agile methodologies

»    Basic understanding of NoSQL databases, such as MongoDB, Cassandra

Experience with data visualization tools, such as Grafana, GGplot, etc.

• Driving and overseeing a team of Customer Service Associate's via outsourced partners to ensure they are providing an exceptional customer experience
• Mastermind creative ways to deliver an exceptional customer experience
• Developing and overseeing the implementation of customer service protocols
• Resolving complex customer problems or disputes in a professional manner
• Coaching and supporting team members to help them meet departmental goals
• Maintaining and documenting records of customer interactions for training purposes
• Preparing monthly and quarterly departmental reports to determine whether KPIs are being met and adopting methods for improvement wherever necessary

What you need to have:

• Graduation degree or equivalent would be mandatory, BE/BTech/Post Graduation degree would be desirable.
• 5+ years prior experience in customer-facing roles
• Proven experience in a leadership role is required
• Excellent communication skills and the ability to anticipate the needs of customers
• Must demonstrate strong analytical thinking skills
• Should possess strong problem-solving skills and the ability to make sound judgement calls 
• Superior organizational and time management skills 
• Innovative, creative thinking skills to ensure the organization is providing a cutting-edge customer experience
• Expertise in MS Excel, Word and PowerPoint 
• Customer Handling Experience in Fintech Setup Mandatory