DevOps Engineer Intern

🤖 Data Scientist – Frontier AI for Data Platforms & Distributed Systems (4–8 Years)

Experience: 4–8 Years

Location: Bengaluru (On-site / Hybrid)

Company: Publicly Listed, Global Product Platform

🧠 About the Mission

We are building a Top 1% AI-Native Engineering & Data Organization — from first principles.

This is not incremental improvement.

This is a full-stack transformation of a large-scale enterprise into an AI-native data platform company.

We are re-architecting:

• Legacy systems → AI-native architectures
• Static pipelines → autonomous, self-healing systems
• Data platforms → intelligent, learning systems
• Software workflows → agentic execution layers

This is the kind of shift you would expect from companies like Google or Microsoft —

Except here, you will build it from day zero and scale it globally.

🧠 The Opportunity: This role sits at the intersection of three high-impact domains:

1. Frontier AI Systems: Large Language Models (LLMs), Small Language Models (SLMs), and Agentic AI

2. Data Platforms: Warehouses, Lakehouses, Streaming Systems, Query Engines

3. Distributed Systems: High-throughput, low-latency, multi-region infrastructure

We are building systems where:

• Data platforms optimize themselves using ML/LLMs
• Pipelines are autonomous, self-healing, and adaptive
• Queries are generated, optimized, and executed intelligently
• Infrastructure learns from usage and evolves continuously

This is: AI as the control plane for data infrastructure

🧩 What You’ll Work On

You will design and build AI-native systems deeply embedded inside data infrastructure.

1. AI-Native Data Platforms

• Build LLM-powered interfaces:
• Natural language → SQL / pipelines / transformations
• Design semantic data layers:
• Embeddings, vector search, knowledge graphs
• Develop AI copilots:
• For data engineers, analysts, and platform users

2. Autonomous Data Pipelines

• Build self-healing ETL/ELT systems using AI agents
• Create pipelines that:
• Detect anomalies in real time
• Automatically debug failures
• Dynamically optimize transformations

3. Intelligent Query & Compute Optimization

• Apply ML/LLMs to:
• Query planning and execution
• Cost-based optimization using learned models
• Workload prediction and scheduling
• Build systems that:
• Learn from query patterns
• Continuously improve performance and cost efficiency

4. Distributed Data + AI Infrastructure

• Architect systems operating at:
• Billions of events per day
• Petabyte-scale data
• Work with:
• Distributed compute engines (Spark / Flink / Ray class systems)
• Streaming systems (Kafka-class infra)
• Vector databases and hybrid retrieval systems

5. Learning Systems & Feedback Loops

• Build closed-loop AI systems:
• Execution → feedback → model updates
• Develop:
• Continual learning pipelines
• Online learning systems for infra optimization
• Experimentation frameworks (A/B, bandits, eval pipelines)

6. LLM & Agentic Systems (Infra-Aware)

• Build agents that understand data systems
• Enable:
• Autonomous pipeline debugging
• Root cause analysis for infra failures
• Intelligent orchestration of data workflows

🧠 What We’re Looking For

Core Foundations

• Strong grounding in:
• Machine Learning, Deep Learning, NLP
• Statistics, optimization, probabilistic systems
• Distributed systems fundamentals
• Deep understanding of:
• Transformer architectures
• Modern LLM ecosystems

Hands-On Expertise

• Experience building:
• LLM / GenAI systems (RAG, fine-tuning, embeddings)
• Data platforms (warehouse, lake, lakehouse architectures)
• Distributed pipelines and compute systems
• Strong programming skills:
• Python (ML/AI stack)
• SQL (deep understanding — query planning, optimization mindset)

Systems Thinking (Critical)

You think in systems, not components.

• Built or worked on:
• Large-scale data pipelines
• High-throughput distributed systems
• Low-latency, high-concurrency architectures
• Understand:
• Query optimization and execution
• Data partitioning, indexing, caching
• Trade-offs in distributed systems

🔥 What Sets You Apart (Top 1%)

• Built AI-powered data platforms or infra systems in production
• Designed or contributed to:
• Query engines / optimizers
• Data observability / lineage systems
• AI-driven infra or AIOps platforms
• Experience with:
• Multi-modal AI (logs, metrics, traces, text)
• Agentic AI systems
• Autonomous infrastructure
• Worked on systems at scale comparable to:
• Google (BigQuery-like systems)
• Meta (real-time analytics infra)
• Snowflake / Databricks (lakehouse architectures)

🧬 Ideal Background (Not Mandatory)

We often see strong candidates from:

• Data infrastructure or platform engineering teams
• AI-first startups or research-driven environments
• High-scale product companies

Experience building:

• Internal platforms used by 1000s of engineers
• Systems serving millions of users / high throughput workloads
• Multi-region, distributed cloud systems

🧠 The Kind of Problems You’ll Solve

• Can LLMs replace traditional query optimizers?
• How do we build self-healing data pipelines at scale?
• Can data systems learn from every query and improve automatically?
• How do we embed reasoning and planning into infrastructure layers?
• What does a fully autonomous data platform look like?

Background: We Commonly See (But Not Limited To)

Our team often includes engineers from top-tier institutions and strong research or product backgrounds, including:

• Leading engineering schools in India and globally
• Engineers with experience in top product companies, AI startups, or research-driven environments
• That said, we care far more about demonstrated ability, depth, and impact than pedigree alone.

We are seeking a talented and enthusiastic Flutter Developer with intermediate-level expertise to join our team. The ideal candidate will have experience in building cross-platform mobile applications and be proficient in API integration and state management. You will work on exciting projects, creating high-quality, responsive, and scalable mobile applications using Flutter.

Responsibilities:

• Mobile App Development:
• Build and maintain cross-platform mobile applications for iOS and Android using Flutter.
• Write clean, reusable, and maintainable code that adheres to Flutter best practices.
• API Integration:
• Integrate RESTful APIs seamlessly into Flutter applications.
• Handle asynchronous operations, data fetching, and error handling efficiently.
• Use tools like Postman or Swagger to test APIs before integration.
• State Management:
• Implement and manage application state using state management libraries like Provider, Riverpod, Bloc, or similar.
• Optimize app performance by efficiently managing state transitions and updates.
• UI/UX Development:
• Create visually appealing and responsive user interfaces based on designs provided (e.g., Figma, Sketch, or Adobe XD).
• Ensure consistent branding, theming, and animations for a smooth user experience.
• Debugging and Testing:
• Debug and troubleshoot issues across different devices and platforms.
• Write unit tests and integration tests to ensure app reliability.
• Collaboration:
• Work closely with backend developers, UI/UX designers, and project managers to deliver high-quality products.
• Participate in code reviews and team discussions to improve development processes.

Skills and Qualifications:

• Flutter Expertise:
• Experience in building and deploying mobile applications using Flutter and Dart.
• Knowledge of Flutter widgets, layouts, navigation, and animations.
• API Integration:
• Hands-on experience in integrating RESTful APIs and managing API responses (JSON).
• Knowledge of HTTP libraries like http or Dio.
• State Management:
• Experience with state management solutions such as Provider, Riverpod, Bloc, or GetX.
• UI/UX Skills:
• Ability to build pixel-perfect designs based on UI/UX wireframes.
• Experience in theming, dark mode, and responsive layouts.
• Proficient in Version Control:
• Familiarity with Git for version control and collaborative development.
• Good Understanding of the Mobile Development Lifecycle:
• Knowledge of deploying apps to Google Play Store and Apple App Store.

Nice-to-Have Skills:

• Knowledge of Firebase (Firestore, Authentication, Cloud Messaging).
• Experience with local storage solutions like SharedPreferences or Hive.
• Familiarity with CI/CD pipelines for Flutter apps.
• Basic understanding of backend technologies to collaborate better with backend teams.

Experience:

• 1-3 years of experience in Flutter development or a related role.

Role and Responsibilities:

As an HMI Developer, you will be responsible for the entire HMI development process, from requirement analysis to release and deployment. You should have a strong understanding of the automotive domain, particularly in the areas of infotainment and cluster systems. Your coding skills should be exceptional, with expertise in C++. Hands-on experience with HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, or Unreal is necessary. Additionally, you should possess debugging skills with standard debugger, toolchains, and target hardware such as infotainment units, digital clusters, or HUDs. Knowledge of automotive domain and communication protocols like CAN, LIN, MOST, UART, and JTAG is a must. Familiarity with design principles and UX processes is beneficial. Proficiency in version control systems like Git, project management tools like Jira, requirements management tools like Doors, and UML is required. It would be advantageous to have experience with model-based design and knowledge of operating systems like QNX, Linux, and other real-time operating systems. Understanding embedded device and microcontroller workings would also be beneficial.

Candidate Qualifications:

- Bachelor's degree in Computer Science, Electrical Engineering, or a related field

- Minimum of 3 years of experience in HMI development

- Strong problem-solving and analytical skills

- Excellent communication and teamwork abilities

Required Skills:

• Overall HMI development process
• Automotive domain with Infotainment/Cluster
• Strong coding experience in C++
• Hands-on experience in HMI frameworks like EB Guide, QT QML, Kanzi Studio, Altia, Unreal, etc.
• Debugging skills with standard debugger and toolchains
• Knowledge of automotive domain and communication protocols (CAN, LIN, MOST, UART, JTAG)
• Knowledge of design principles and UX process (good to have)
• Working experience in Git, Jira, Doors, UML, etc.
• Model-based design experience (good to have)
• Knowledge of operating systems like QNX, Linux, and other RTOS (good to have)
• Knowledge of embedded devices and microcontroller workings (good to have)

1. Work closely with design, product management, and development teams to create elegant, usable, responsive, and interactive interfaces across multiple devices.
2. Turning UI/UX designs into prototypes, creating awesome interactions from designs, writing reusable content modules, and maintainability of the code.
3. Implement UI development principles to ensure that the product client-side serves at scale.
4. Review and optimize app usage by monitoring key metrics and rectifying the issues proactively.
5. An ability to perform well in a fast-paced environment and bring in optimal flow for rapidly changing design/ technology.
6. Developers should be team player or should work individually when required.
7. Developer should work parallel to backend developers.

1. 1 to 2 years of relevant work experience as a web developer, UI developer, JavaScript expert, or frontend engineer
2. Proficiency in HTML, CSS, JavaScript, and jQuery.
3. Good understanding of APIs and how to use them to get the work done fast.
4. Proficiency in writing clean and optimized code.
5. Familiar with UI layouts, SASS, Bootstrap, and the CSS GRID system.
6. Experience debugging using popular JavaScript-based tools like Chrome Developer Console.
7. Knowledge of ReactJs/VueJs & Python will be a plus

Designation- Manager- Accounts CPA ( Certified Public Accountant )

Job Description :-

Exp- 8-12 yrs

Skills & Responsibility-

• Preparing and maintaining the company accounts and managing the expenses/bills/payments

• Maintains and balances subsidiary accounts by verifying, allocating, posting, reconciling transactions for India and US accounts

• Managing commissions calculations and accounting for US Sales employees

• Process travel and expense reports that are billed to clients which involves managing reports of US employees

• Maintains general ledger by transferring subsidiary accounts; preparing a trial balance; reconciling entries

• Coordinate the preparation of regulatory reporting

• Handle day to day functioning of the Accounts and finance functions & Ledger Scrutiny

• Periodic (weekly, monthly) metrics and analytics reporting for the company.

• Backup for generating renewal Maintenance and Support invoices for customers.