11+ Work breakdown structure Jobs in India

Role: Sr HR Generalist

Needed: Fluent English Communication Must

Experience: 4–5 years

Salary: As per Market Standards

Job Type: Full-time

Location: Ahmedabad

Company:Clapstick Media

We need a Senior HR Executive who can independently manage recruitment, employee coordination, HR operations, and payroll with accuracy and ownership.

KEY RESPONSIBILITIES

· Manage end-to-end recruitment, interview coordination, onboarding, and exit formalities.

· Handle attendance, leaves, late marks, overtime, deductions, incentives, advances, and salary inputs.

· Manage monthly payroll coordination with accounts/management with proper accuracy and confidentiality.

· Maintain employee records, HR documentation, offer letters, appointment letters, warning letters, and experience letters.

· Track employee discipline, punctuality, reporting, workplace conduct, and support management in HR processes.

MUST-HAVE SKILLS

· Strong practical knowledge of payroll is mandatory.

· Good experience in recruitment and employee coordination.

· Good command over English communication.

· Strong knowledge of MS Excel, Google Sheets, email, and basic HR reporting.

· Mature, organized, responsible, and able to work independently.

PREFERRED CANDIDATE

Experience in a startup, media, creative, sales, digital, IT, or service-based company will be preferred.

Job Description:

• Should have basic experience in animation principles.
• Good understanding of aesthetics and animated canvas.
• Able to understand project requirements and handle projects independently.
• Create and Edit Videos for all projects and use motion for the created videos
• Strong learning capability.
• Having a good knowledge of Excel tools
• Framework experience would be beneficial.
• Should be comfortable working with the team.
• Strong expertise in Motion Graphics, with a blend of creative visualization, modern design, and typography.
• Proficiency in handling DSLR cameras for internal photo/video shoots and enhancing footage with effects and elements to produce high-quality videos.
• Basic knowledge of UI design is a plus, as it may be required for certain UI-related tasks and team collaboration.
•  

Skills required:

• Demonstrated experience in a graphic and motion design position.
• A strong portfolio that highlights one's creativity and attention to detail.
• Excellent time management and communication abilities.
• Expert proficiency in Adobe After Effects, Adobe Premiere, Adobe Illustrator, and Adobe Photoshop.
• Knowledge of Figma and Blender 3D is a plus.
• Experience with BodyMovin (Lottie) and Duik plug-ins will be considered an added advantage.

Location: Bangalore

Experience: 3-5 years

Type: Full-time | On-site

Start: Immediate

Why this role exists

Most companies are using LLMs.

Very few are building an advantage from them.

Right now, LLM cost is our largest margin constraint, and model behavior is still too generic to be defensible.

This role exists to:

• Turn LLM usage into a cost-efficient system
• Build compounding intelligence across accounts
• Create a differentiated analysis layer that competitors can’t replicate

What you’ll do

You will not just build models.

You will own the intelligence and cost structure of the platform.

1. Drive down LLM cost dramatically

• Reduce cost per interaction from ₹40 → ₹2 within 6 months
• Implement:
• Model tiering (right model for the right task)
• Caching strategies (semantic + response caching)
• Batching and async processing
• PTU / reserved capacity optimization
• Ensure performance does not degrade while reducing cost

2. Optimize infrastructure spend

• Reduce cloud spend from ₹20L/month → ₹4L/month
• Work across infrastructure layers (Azure / compute / inference)
• Balance:
• Latency
• Cost
• Throughput
• Treat infra as a first-class optimization problem

3. Build the fine-tuning and learning pipeline

• Design systems where:
• Every interaction improves future performance
• Build pipelines for:
• Fine-tuning
• Feedback loops
• Continuous model improvement
• Ensure the 5th customer deployment is structurally better than the 1st

4. Create a differentiated intelligence layer

• Build analysis systems that:
• Extract signals from interactions
• Improve decision-making
• Drive outcome improvements
• Move beyond responses → insight + action

5. Enable new AI-native product categories

• Identify opportunities where:
• AI enables workflows that were not previously possible
• Build foundational ML capabilities to unlock those categories
• Focus on creation, not just efficiency

6. Commoditize LLM usage internally

• Abstract complexity of LLM usage from product teams
• Build internal systems where:
• Cost is predictable
• Performance is consistent
• Make LLM usage a reliable utility layer

What success looks like

• Cost per interaction drops to ₹2 or lower
• Infrastructure spend reduces 5x without performance loss
• Model performance improves with every deployment
• Platform develops a clear intelligence advantage
• New AI-native capabilities become possible due to your systems

Who you are

• You have 3-5 years of experience in ML / applied AI / systems engineering
• You have worked with:
• LLMs
• Inference optimization
• Production ML systems
• You think in:
• Systems
• Trade-offs (cost vs latency vs quality)
• You care about real-world impact, not just model metrics

What will make you stand out

• Experience with:
• LLM optimization (prompting, fine-tuning, distillation)
• Distributed systems or infra-level optimizations
• High-scale inference systems
• Built systems that:
• Reduced cost significantly
• Improved performance over time
• Strong understanding of:
• Caching strategies
• Model routing
• Evaluation frameworks

Why join

• You will directly impact company margins and scalability
• Your work defines whether we have a defensible ML advantage
• You will build systems that move from:
• Generic AI usage → compounding intelligence

What this role is not

• Not research-only
• Not experimentation without production impact
• Not isolated from product and business outcomes

What this role is

• A builder of ML systems at scale
• A driver of cost and performance optimization
• A creator of long-term competitive advantage

One question to self-evaluate

Can you build ML systems that get cheaper, smarter, and more valuable with every interaction?

We are an on-demand E-commerce technology and Services Company and a tech-enabled 3PL (third party logistics). We unlocks ecommerce for companies by managing the entire operations lifecycle:

Sell, Fulfil & Reconcile.

Using us, companies can: -

• Store their inventory in our fulfilment centers (FCs)

• Sell their products on multiple sales channels (online marketplaces like Amazon, Flipkart, and their own website)

• Get their orders processed within a defined SLA

• Reconcile payments against the sales company combines infrastructure and dedicated experts to give brands: accountability, peace of mind, and control over the ecommerce journey.

The company is working on a remarkable concept for running an E-commerce business- starting from establishing an online presence for many enterprises. It offers a combination of products and services to create a comprehensive platform and manage all aspects of running a brand online, including the development of an exclusive web store, handling logistics, integrating all marketplaces and so on.

Who are we looking for?

We are looking for a skilled and passionate DevOps Engineer to join our Centre of Excellence to build and scale effective software solutions for our Ecommerce Domain.

Wondering what your Responsibilities would be?

• Building and setting up new development tools and infrastructure

• Provide full support to the software development teams to deploy, run and roll out new services and new capabilities in Cloud infrastructure

• Implement CI/CD and DevOps best practices for software application teams and assist in executing the integration and operation processes

• Build proactive monitoring and alerting infrastructure services to support operations and system health

• Be hands-on in developing prototypes and conducting Proof of Concepts

• Work in an agile, collaborative environment, partnering with other engineers to bring new solutions to the table

• Join the DevOps Chapter where you’ll have the opportunity to investigate and share information about technologies within the DevOps Engineering Community

What Makes you Eligible?

• Bachelor’s Degree or higher in Computer Science or Software Engineering with appropriate experience

• Minimum of 1 year of proven experience as DevOps Engineer

• Experience in working with a DevOps culture, following Agile Software Development methodologies of Scrum

• Proven experience in source code management tools like Bitbucket and Git

• Solid experience in CI/CD pipelines like Jenkins

• Shown ability with configuration management tools (e.g., Terraform, Ansible, Docker and Kubernetes) and repository tools like Artifactory

• Experience in Cloud architecture & provisioning

• Knowledge in Programming / Querying NoSQL databases

• Teamwork skills with a problem-solving attitude

• 3 years of mandatory experience developing NMS(network management system) products for large networks.
• 3+ years of hands-on programming experience in Java and related technologies.
• 3+ years of experience using management protocols like Netconf/SNMP/YANG data modelling to interact with the Network elements and agent based monitoring.
• Extensive experience implementing FCAPS (Fault, Configuration, Accounting, Performance, Security).
• Good command on Algorithms and data structures, OOAD, Client-server systems, distributed systems and multithreaded programming.
• Hands-on experience with databases like Cassandra/MongoDB.
• Experience of establishing HA, Clustering, Redundancy, Stateful Failover through design / implementation / deployment.
• Experience of performance benchmarking and performance optimization.
• Experience working with micro-service architecture using Docker. Kubernetes is a plus.
• Working knowledge of messaging middleware like - Kafka, RabbitMQ.
• Experience of IPC libraries & protocols like gRPC/REST/JSON.
• Working knowledge of KPI Reporting, Troubleshooting & Log management - ELK, KPI Reporting, TSDB, Grafana.
• Experience in various Linux tools related to source code version control, code review, bug tracking, CI/CD, e.g. Git/Gerrit/Jira/Jenkins.