HR Intern

About the role

We’re looking for a hands-on Junior System/Cloud Engineer to help keep our cloud infrastructure and internal IT humming. You’ll work closely with a senior IT/Cloud Engineer across Azure, AWS, and Google Cloud—provisioning VMs/EC2/Compute Engine instances, basic database setup, and day-to-day maintenance. You’ll also install and maintain team tools (e.g., Elasticsearch, Tableau, MSSQL) and pitch in with end-user support for laptops and any other system issues when needed.

What you’ll do

Cloud provisioning & operations (multi-cloud)

·         Create, configure, and maintain virtual machines and related resources in Azure, AWS (EC2), and Google Compute Engine (networks, security groups/firewalls, storage, OS patching and routine maintenance/backups).

·         Assist with database setup (managed services or VM-hosted), backups, and access controls under guidance from senior engineers.

·         Implement tagging, least-privilege IAM, and routine patching for compliance and cost hygiene.

Tooling installation & maintenance

·         Install, configure, upgrade, and monitor tools/softwares required like Elasticsearch and Tableau server and any other and manage service lifecycle (systemd/Windows service), security basics, and health checks.

·         Document installation steps, configurations, and runbooks.

Monitoring & incident support

·         Set up basic monitoring/alerts using cloud-native tools and logs.

·         End-user & endpoint support (as needed)

·         Provide first-line support for laptops/desktops (Windows/macOS), peripherals, conferencing, VPN, and common apps; escalate when appropriate.

·         Assist with device setup, imaging, patching, and inventory; keep tickets and resolutions well documented.

What you’ll bring

·         Experience: 1–3 years in DevOps/System Admin/IT Ops with exposure to at least one major cloud (primarily Azure, good to have skills on AWS, or GCP); eagerness to work across all three.

Core skills:

·         Linux and Windows server admin basics (users, services, networking, storage).

·         VM provisioning and troubleshooting in Azure, AWS EC2, or GCE; understanding of security groups/firewalls, SSH/RDP, and snapshots/images.

·         Installation/maintenance of team tools (ex: Elasticsearch, Tableau Server etc).

·         Scripting (Bash and/or PowerShell); Git fundamentals; comfort with ticketing systems.

·         Clear documentation and communication habits.

Nice to have:

·         Terraform or ARM/CloudFormation basics; container fundamentals (Docker).

·         Monitoring/logging familiarity (Elastic/Azure Monitor).

·         Basic networking (DNS, HTTP, TLS, VPN, Nginx)

·         Azure certification (AZ-104, AZ-204)

To process your resume for the next process, please fill out the Google form with your updated resume.

https://forms.gle/b8JeStRaWrWv3tzLA

Job Title: AI Engineer

Location: Bangalore, India

About Us:

Meraki Labs stands at the forefront of India's deep-tech innovation landscape, operating as a dynamic venture studio established by the visionary entrepreneur Mukesh Bansal. Our core mission revolves around the creation and rapid scaling of AI-first and truly "moonshot" startups, nurturing them from their nascent stages into industry leaders. We achieve this through an intensive, hands-on partnership model, working side-by-side with exceptional founders who possess both groundbreaking ideas and the drive to execute them.

Currently, Meraki Labs is channeling its significant expertise and resources into a particularly ambitious endeavor: a groundbreaking EdTech platform. This initiative is poised to revolutionize the field of education by democratizing access to world-class STEM learning for students globally. Our immediate focus is on fundamentally redefining how physics is taught and experienced, moving beyond traditional methodologies to deliver an immersive, intuitive, and highly effective learning journey that transcends geographical and socioeconomic barriers. Through this platform, we aim to inspire a new generation of scientists, engineers, and innovators, ensuring that cutting-edge educational resources are within reach of every aspiring learner, everywhere.

Role Overview:

As an AI Engineer on the Capacity team, you will design, build, and deploy the intelligent systems that power our AI Tutor and Simulation Lab.

You’ll collaborate closely with prompt engineers, product managers, and full-stack developers to build scalable AI features that connect language, reasoning, and real-world learning. This is not a traditional ML ops role,  it’s an opportunity to engineer how intelligence flows across the product: from tutoring interactions to real-time physics reasoning.

Your Core Impact

• Build the AI backbone that drives real-time tutoring, contextual reasoning, and simulation feedback.
• Translate learning logic and educational goals into deployable, scalable AI systems.
• Enable the AI Tutor to think, reason, and respond based on structured academic material and live learner inputs.

Key Responsibilities:

1. AI System Architecture & Development

• Design and develop scalable AI systems that enable chat-based tutoring, concept explainability, and interactive problem solving.
• Implement and maintain model-serving APIs, vector databases, and context pipelines to connect content, learners, and the tutor interface.
• Contribute to the design of the AI reasoning layer that interprets simulation outputs and translates them into learner-friendly explanations.

2. Simulation Lab Intelligence

• Work with the ML team to integrate LLMs with the Simulation Lab; enabling the system to read experiment variables, predict outcomes, and explain results dynamically.
• Create evaluation loops that compare student actions against expected results and generate personalized feedback through the tutor.
• Support the underlying ML logic for physics-based prediction and real-time data flow between lab modules and the tutor layer.

3. Model Integration & Optimization

• Fine-tune, evaluate, and deploy LLMs or smaller domain models that serve specific platform functions.
• Design retrieval and grounding workflows so that all model outputs reference the correct textbook or course material.
• Optimize performance, latency, and scalability for high-traffic, interactive learning environments.

4. Collaboration & Research

• Partner with Prompt Engineers to ensure reasoning consistency across tutoring and simulations.
• Work with Product and Education teams to define use cases that align AI behavior with learning goals.
• Stay updated with new model capabilities and research advancements in RAG, tool use, and multi-modal learning systems.

5. Data & Infrastructure

• Maintain robust data pipelines for model inputs (textbooks, transcripts, lab data) and evaluation sets.
• Ensure privacy-safe data handling and continuous model performance tracking.
• Deploy and monitor AI workloads using cloud platforms (AWS, GCP, or Azure).etc.

Soft Skills:

• Strong problem-solving and analytical abilities.
• Eagerness to learn, innovate and deliver impactful results.
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Required Qualifications & Skills

• 3–4 years of experience in AI engineering, ML integration, or backend systems for AI-driven products.
• Strong proficiency in Python, with experience in frameworks like FastAPI, Flask, or LangChain.
• Familiarity with LLMs, embeddings, RAG systems, and vector databases (Pinecone, FAISS, Chroma, etc.).
• Experience building APIs and integrating with frontend components.
• Working knowledge of cloud platforms (AWS, GCP, Azure) and model deployment environments.
• Understanding of data structures, algorithms, and OOP principles.

Senior Business Analyst 

Job Summary 

We are seeking an experienced Senior Business Analyst to lead business analysis activities, collaborate with senior management, and contribute to strategic initiatives that align with the organization's goals. The Senior Business Analyst will play a key role in driving business process improvements, optimizing efficiency, and ensuring the successful execution of projects. The role involves working with cross-functional teams, providing leadership and mentorship to junior analysts, and driving continuous improvements through data-driven insights. 

Key Responsibilities: 

● Collaborate with senior management to ensure business analysis activities align with organizational goals and strategic initiatives. 

● Provide valuable input into strategic planning processes by identifying opportunities for business improvement, innovation, and optimization. ● Lead the gathering, analysis, and documentation of complex business requirements for projects. 

● Ensure that business requirements are prioritized, validated, and traced throughout the project lifecycle, ensuring they are aligned with business objectives and strategic priorities. 

● Build and maintain relationships with key stakeholders at all levels of the organization, including executives, business unit leaders, and project sponsors. ● Utilize advanced communication, negotiation, and interpersonal skills to influence stakeholders and drive consensus on project scope, objectives, and priorities. ● Lead business process reengineering efforts to streamline workflows, enhance efficiency, and drive operational excellence. 

● Identify opportunities for automation, digitization, and outsourcing to improve business processes and reduce operational costs. 

● Collaborate with data scientists and business intelligence teams to develop predictive models, data visualizations, and dashboards to aid in decision-making processes. 

● Provide leadership and mentorship to junior business analysts, guiding their professional development and helping them grow their skills in business analysis methodologies and tools. 

● Facilitate communication and collaboration among project team members, including developers, designers, testers, and stakeholders.

● Monitor and identify potential risks to project success, including technical challenges, resource constraints, or changes in requirements. 

● Assist project managers in planning, monitoring, and controlling project activities related to business analysis. 

● Develop detailed project plans, including scope, objectives, timelines, resource requirements, and deliverables. 

● Stay abreast of industry trends, emerging technologies, and best practices in business analysis to apply innovative solutions to the current role. 

Skills and Qualifications: 

● Advanced communication, negotiation, and facilitation skills with the ability to influence stakeholders at all levels. 

● Strong analytical and problem-solving skills with expertise in gathering, analyzing, and documenting complex business requirements. 

● Proficiency in business analysis tools and methodologies (e.g., MS Visio, Jira, Confluence, Agile, etc.). 

● Demonstrated ability to lead business process reengineering and optimization efforts. 

● Ability to work effectively with data scientists and business intelligence teams to drive actionable insights from complex data sets.

The Sr. Analytics Engineer would provide technical expertise in needs identification, data modeling, data movement, and transformation mapping (source to target), automation and testing strategies, translating business needs into technical solutions with adherence to established data guidelines and approaches from a business unit or project perspective.

Understands and leverages best-fit technologies (e.g., traditional star schema structures, cloud, Hadoop, NoSQL, etc.) and approaches to address business and environmental challenges.

Provides data understanding and coordinates data-related activities with other data management groups such as master data management, data governance, and metadata management.

Actively participates with other consultants in problem-solving and approach development.

Responsibilities :

Provide a consultative approach with business users, asking questions to understand the business need and deriving the data flow, conceptual, logical, and physical data models based on those needs.

Perform data analysis to validate data models and to confirm the ability to meet business needs.

Assist with and support setting the data architecture direction, ensuring data architecture deliverables are developed, ensuring compliance to standards and guidelines, implementing the data architecture, and supporting technical developers at a project or business unit level.

Coordinate and consult with the Data Architect, project manager, client business staff, client technical staff and project developers in data architecture best practices and anything else that is data related at the project or business unit levels.

Work closely with Business Analysts and Solution Architects to design the data model satisfying the business needs and adhering to Enterprise Architecture.

Coordinate with Data Architects, Program Managers and participate in recurring meetings.

Help and mentor team members to understand the data model and subject areas.

Ensure that the team adheres to best practices and guidelines.

Requirements :

- Strong working knowledge of at least 3 years of Spark, Java/Scala/Pyspark, Kafka, Git, Unix / Linux, and ETL pipeline designing.

- Experience with Spark optimization/tuning/resource allocations

- Excellent understanding of IN memory distributed computing frameworks like Spark and its parameter tuning, writing optimized workflow sequences.

- Experience of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., Redshift, Bigquery, Cassandra, etc).

- Familiarity with Docker, Kubernetes, Azure Data Lake/Blob storage, AWS S3, Google Cloud storage, etc.

- Have a deep understanding of the various stacks and components of the Big Data ecosystem.

- Hands-on experience with Python is a huge plus

Responsibilities:

• Writing clean and efficient codes for Android applications
• Monitoring the performance of live apps and work on optimizing them at the code level
• Identifying and resolving bottlenecks, rectifying bugs and enhancing application performance
• Performing unit and instrumentation tests on code
• Collaborating with cross-functional teams to define and design new features
• Staying up to date with new mobile technology trends, applications, and protocols

Key Requirements:

• You have experience in publishing an application on the Google Play store
• Familiarity with RESTful APIs to effectively integrate Android applications
• Proficient understanding of code versioning tools such as Git
• Familiarity with various testing tools
• You are a problem solver with good analytical skills

Skills: Java, Android SDK & NDK, MVVM/MVC/MVP

~Lead conversion

~Revenue generation

~Proactively identifying cross-selling /Up-selling process with the existing ~customers

• Work Mode: Bangalore (Work from Office)
• Qualification: Graduation (Tech Background Preferable)

At Cityflo, we are solving the problem of commuting to the office which affects employees in big, populated Indian cities every day. Cityflo provides a bus experience like no other - we run premium AC buses for daily commuters. We’re changing the way urban Indians commute and enabling everyone to reclaim hours of their time every day. Before the imposed lockdown due to coronavirus, we were serving about 7500 commuters per day. We plan to scale to 5,00,000 per day in the next 4 years in a profitable and sustainable manner.

You can read more about our engineering and culture on our blog: https://blog.cityflo.com/tag/engineering/" target="_blank">https://blog.cityflo.com/tag/engineering/

Role & Requirements

• 2+ year experience in application development
• ability to write efficient SQL queries and design schemas for relational databases
• good knowledge of operating systems and networking concepts
• experience in using and understanding code from Open Source
• experience with implementing best software engineering practices like version control with git, code reviews, writing unit-tests, writing readable code
• experience with Python and Django is a plus.
• inclination towards researching new technologies and adapt them to solve challenges we face

We look for engineers who

• Are committed to their growth and learning
• care about working in and building a strong engineering culture
• want to take significant ownership and decision making power
• want to make an impact in the real world while working with a great team in a hyper-growth environment

• Criteria : BCA / BSc/BE / BTech passouts
• Experience Required : 1 to 2 Years (Freshers Do Not Apply)
• Candidates should be ready to learn (Low-Code .NET based platform)
• Looking for immediate joiners only