
About the company
KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.
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Job Description
Education Qualification: CS
Experience: 4-6 years
Location: Pan India with potential requirement to travel to the middle east
Employment Type: contract for 6-12 months (Hybrid)
Responsibilities:
- Board Meetings: Organize and coordinate board meetings, prepare agendas, and distribute necessary documents.
- Minutes & Record Keeping: Take minutes during board and committee meetings, and maintain accurate records of discussions and decisions.
- Regulatory Compliance: Ensure the firm complies with corporate governance requirements, including filing necessary documents with regulatory bodies (e.g., QFCRA).
- Corporate Governance: Advise the board on governance best practices and ensure the company adheres to internal policies and external legal requirements.
- Shareholder Communication: Manage communication with shareholders, including handling general meetings, votes, and reporting obligations.
- Legal Documentation: Maintain and update key corporate documents such as the company’s charter, bylaws, and resolutions.
- Advisory Role: Provide guidance on legal and regulatory obligations to directors and senior management.

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We're thrilled to offer a position for a Facade Detailer at our Thane office, reporting directly to the Principal Consultant. This role provides a unique chance to design and refine facade systems while growing your expertise in design, engineering, and materials. Perfect for a driven, team-oriented individual eager to contribute to a thriving, fast-paced company.
What You'll Do
Perform design engineering for facades and steel structures.
Manage projects and handle administrative tasks.
Collaborate with architects in design meetings, offering engineering insights.
Work independently and with the design team, maintaining clear communication with managers.
Create 2D drafts using CAD for shop drawings, curtain wall projects, and material schedules.
Support the preparation of detailed façade tender packages.
Coordinate with architects, clients, engineers, and project leaders to refine models and update drawings.
Develop facade system details from architectural concepts.
Track submission timelines to ensure timely, budget-conscious delivery of project deliverables.
Liaise with stakeholders to address and resolve project challenges.
Oversee internal drawing documentation and control.
Assess design deliverables for practicality and compliance, working closely with clients' teams and suppliers.
Skills & Experience
Experience using CAD software to produce shop drawings or architectural
tender packages for facade/curtain wall projects.
Degree or diploma in Mechanical, Civil, or Structural Engineering, or
Building Design (Architectural).
Understanding of 3D geometrical analysis (e.g., Grasshopper, Python) is an advantage.
Experience with BIM software and creating BIM models/detail drawings is highly desirable.
Solid knowledge of steel, aluminium, and glass, backed by practical
experience.
Ability to design creative yet functional solutions.
Proficiency in Microsoft Word, Excel, and Outlook.
Strong written and verbal communication skills.
Capacity to meet tight deadlines with precision and attention to detail.
Job Title: Tele Caller (Bengali Language)
Location: Thane
Openings: 2
Job Description:
We are hiring experienced Tele Callers with a strong sales background. The candidate will be responsible for making outbound calls, explaining products/services to customers, and closing sales. Maintaining proper follow-ups and achieving assigned targets will be part of the role.
Key Responsibilities:
Make outbound sales calls to customers
Explain products/services clearly and confidently
Handle customer queries and objections
Achieve daily and monthly sales targets
Maintain call records and follow-ups
Requirements:
Graduation is mandatory
Experience in sales/telecalling background required
Fluent in Bengali (mandatory)
Good communication and convincing skills
Salary:
₹35,000 to ₹40,000 take-home per month
Preferred Candidate:
Immediate joiner
Target-oriented and self-motivated
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.
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.
- 3+ years experience in practical implementation and deployment of ML based systems preferred.
- BE/B Tech or M Tech (preferred) in CS/Engineering with strong mathematical/statistical background
- Strong mathematical and analytical skills, especially statistical and ML techniques, with familiarity with different supervised and unsupervised learning algorithms
- Implementation experiences and deep knowledge of Classification, Time Series Analysis, Pattern Recognition, Reinforcement Learning, Deep Learning, Dynamic Programming and Optimisation
- Experience in working on modeling graph structures related to spatiotemporal systems
- Programming skills in Python
- Experience in developing and deploying on cloud (AWS or Google or Azure)
- Good verbal and written communication skills
- Familiarity with well-known ML frameworks such as Pandas, Keras, TensorFlow
Job Purpose
We work in the latest technology, and our foundations are data structures, algorithms, solid logical reasoning, and mathematics. We are looking for very strong engineers who love coding, optimizing, and ensuring their code is the most efficient.
You will be involved with hardcore development. If you are an assembler of code or packages from different places to build something, you may not find our team to be the right fit.
You must be someone who can build anything from the ground up. Programming language should not be any barrier for you, as you should be able to pick up any programming language or underlying technology within a week.
Key Areas of Responsibility
Core development. Ready to participate in the designing, brainstorming, and development process. You must give sleepless nights to meet deadlines whenever required.
Desired Candidate Profile
Essential Skills
- Reliable, Accountable, and Trustworthy
- Ability to understand software requirements based on a wireframe/program specification
- Familiarity with GoLang / PHP / Python / Java / C / C++ / Linux Shell and Scripting / HTML / CSS / JS / Node.js is a plus
- Effective communication skills to ensure smooth coordination of tasks with the Team Leader.
- Knowledge of MongoDB, MySQL, and PL/SQL is a plus
- Familiarity with ML, TensorFlow, and Keras is a plus
- Knowledge of web servers such as Apache, NGNIX, and the HTTP protocol is a plus.
- Knowledge of multi-process, threads, memory, and filesystem on Linux is desirable.
- Must Solve The Following
To consider you for the current opening, please make sure to understand the following question and solve it. A simple program in any programing language would do. If you cannot solve this, please do not apply.
Write a function foo(x) where foo(foo(x)) = -x (assume x to be an integer, and foo(x) has to be always real), any programming language would do. Before submitting the answers, please verify that the output of foo(foo(10)) should be -10 and foo(foo(-10)) should be 10.
Job Description:
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- At least 2 years of experience in computer vision and or deep learning for object detection and tracking along with semantic or instance segmentation either in the academic or industrial domain.
- Experience with any machine deep learning frameworks like Tensorflow, Keras, Scikit-Learn and PyTorch.
- Experience in training models through GPU computing using NVIDIA CUDA or on the cloud.
- Ability to transform research articles into working solutions to solve real-world problems.
- Strong experience in using both basic and advanced image processing algorithms for feature engineering.
- Proficiency in Python and related packages like numpy, scikit-image, PIL, opencv, matplotlib, seaborn, etc.
- Excellent written and verbal communication skills for effectively communicating with the team and ability to present information to a varied technical and non-technical audiences.
- Must be able to produce solutions independently in an organized manner and also be able to work in a team when required.
- Must have good Object-Oriented Programing & logical analysis skills in Python.
o Tools:
CrowdStrike Falcon Sensor - Or similar AV engine
Cisco Umbrella Web Filtering – Or similar Web Proxy Filter
Cisco FTD Intrusion Prevention – Or similar IPS/IDS
O365 Email Protection (Spam, Phishing) - Or similar
Phish Insight (Phishing Campaigns) - Or similar phish campaign technology
Nessus Professional – Or similar vulnerability scanning tool
Cisco NGFW – Or similar FW technology
o Technologies:
Cloud (AWS IaaS, O365 SaaS),
On Premis (Windows 90%, Linux 10%)
o Processes:
Computer security incident response
Security reviews and assessments
Vulnerability management Penetration tests
Manage Level 3 security incidents and requests
Ensures compliance with corporate policies and procedures
Research new ways to improve existing technical security controls
Project SME and Lead for security related projects
Conduct Risk assessments and assist in remediation activities
Assist in internal and external audit activities
Required Experience and Skills:
Bachelor's degree in Information Security, Computer Science or Engineering
Minimum of 3 years in security engineering
Knowledge in cloud ecosystems security - Amazon AWS, Microsoft O365
Ability to work well in an international team (US or EU time zone)
English spoken and written on at least B2 level
Understanding of security monitoring and identification concepts
Assessing and understanding the impact, severity and urgency of issues
Cybersecurity Certifications an advantage but not essential: CEH, C|HFI, CISSP, CISA, CISM
Expertise across a variety of security products including those listed in requirements above








