Chartered Accountant Intern

💪 What You’ll Do:

✔️ Source and screen candidates

✔️ Take screening calls (we’ll train you)

✔️ Schedule interviews like a pro

✔️ Support senior HRs on live hiring

✔️ Keep dashboards neat and updated

🔍 You’re the right fit if you:

✅ Have a laptop + fluent English

✅ Live in Bangalore (or can relocate ASAP)

✅ Are confident, curious, and love talking to people

✅ Want real HR experience and career growth

🎁 What’s in It for You:

🚀 Real, hands-on HR work (no boring intern stuff)

👩‍🏫 Mentorship from experienced HR pros

🎯 Career growth that starts from Day 1

🤝 A fun, young, people-first culture

📈 A chance to step into the world of HR + startups

Exciting Opportunity: Linux Engineer (L3)

Are you a seasoned Linux Engineer with over 10 years of experience in an enterprise technical support environment? Join our team and bring your expertise to provide advanced technical support for global HPE customers. We're looking for someone who can apply their deep technical knowledge in Linux administration, technical security management, database management, and performance management for critical, high-risk customers. If you're passionate about solving complex technical issues and delivering superior solutions, this role is for you!

Key Responsibilities:

• Provide advanced technical support via phone, email, and remote sessions
• Reproduce, troubleshoot, and resolve issues related to Linux systems
• Perform incident, escalation, and change management independently
• Conduct proactive problem management and root cause analysis
• Apply security patches, monitor environments for compliance, and handle disaster recovery planning
• Collaborate with cross-functional teams and vendors to resolve complex technical issues
• Lead and manage projects related to Knowledge Transfer (KT), Transition, and SOP creation
• Deliver exceptional customer satisfaction and maintain high service levels

Technical Skills Required:

• Strong expertise in installing, configuring, troubleshooting, and administering all Linux flavors
• Experience with Linux vulnerability assessment and mitigation
• Knowledge of Redhat Satellite, Oracle Linux Ksplice, Cluster Services, and Oracle RAC clusters
• Familiarity with SAN technologies, HP Blade Servers, Rackmount Servers, and Virtual Connect OS
• Disaster recovery planning and DR testing experience
• Experience in routine performance analysis, capacity planning, and security audits
• Proficiency with HPE Service Guard cluster on RHEL

Non-Technical Skills:

• Excellent written and verbal communication skills
• Commitment to delivering high-quality solutions and customer satisfaction
• Ability to work independently and lead technical teams in resolving complex issues
• Strong collaboration skills with the ability to influence customers and internal stakeholders
• Experience in delivering training and mentoring team members

Eligibility & Qualifications:

• Bachelor’s degree in Engineering (or equivalent)
• 10+ years of experience in Enterprise technical support
• Certifications like RHCE, Oracle Enterprise Linux, ITIL are a plus
• Flexibility to work in a 24x7 support environment

This role is perfect for a Linux professional looking to take ownership of complex issues in a global, mission-critical environment.

🌟 Apply Now to join our team and make a significant impact in the world of enterprise Linux support!

Job Summary

As a Data Science Lead, you will manage multiple consulting projects of varying complexity and ensure on-time and on-budget delivery for clients. You will lead a team of data scientists and collaborate across cross-functional groups, while contributing to new business development, supporting strategic business decisions and maintaining & strengthening client base

1. Work with team to define business requirements, come up with analytical solution and deliver the solution with specific focus on Big Picture to drive robustness of the solution
2. Work with teams of smart collaborators. Be responsible for their appraisals and career development.
3. Participate and lead executive presentations with client leadership stakeholders.
4. Be part of an inclusive and open environment. A culture where making mistakes and learning from them is part of life
5. See how your work contributes to building an organization and be able to drive Org level initiatives that will challenge and grow your capabilities.

​​​​​​Role & Responsibilities

1. Serve as expert in Data Science, build framework to develop Production level DS/AI models.
2. Apply AI research and ML models to accelerate business innovation and solve impactful business problems for our clients.
3. Lead multiple teams across clients ensuring quality and timely outcomes on all projects.
4. Lead and manage the onsite-offshore relation, at the same time adding value to the client.
5. Partner with business and technical stakeholders to translate challenging business problems into state-of-the-art data science solutions.
6. Build a winning team focused on client success. Help team members build lasting career in data science and create a constant learning/development environment.
7. Present results, insights, and recommendations to senior management with an emphasis on the business impact.
8. Build engaging rapport with client leadership through relevant conversations and genuine business recommendations that impact the growth and profitability of the organization.
9. Lead or contribute to org level initiatives to build the Tredence of tomorrow.

Qualification & Experience

1. Bachelor's /Master's /PhD degree in a quantitative field (CS, Machine learning, Mathematics, Statistics, Data Science) or equivalent experience.
2. 6-10+ years of experience in data science, building hands-on ML models
3. Expertise in ML – Regression, Classification, Clustering, Time Series Modeling, Graph Network, Recommender System, Bayesian modeling, Deep learning, Computer Vision, NLP/NLU, Reinforcement learning, Federated Learning, Meta Learning.
4. Proficient in some or all of the following techniques: Linear & Logistic Regression, Decision Trees, Random Forests, K-Nearest Neighbors, Support Vector Machines ANOVA , Principal Component Analysis, Gradient Boosted Trees, ANN, CNN, RNN, Transformers.
5. Knowledge of programming languages SQL, Python/ R, Spark.
6. Expertise in ML frameworks and libraries (TensorFlow, Keras, PyTorch).
7. Experience with cloud computing services (AWS, GCP or Azure)
8. Expert in Statistical Modelling & Algorithms E.g. Hypothesis testing, Sample size estimation, A/B testing
9. Knowledge in Mathematical programming – Linear Programming, Mixed Integer Programming etc , Stochastic Modelling – Markov chains, Monte Carlo, Stochastic Simulation, Queuing Models.
10. Experience with Optimization Solvers (Gurobi, Cplex) and Algebraic programming Languages(PulP)
11. Knowledge in GPU code optimization, Spark MLlib Optimization.
12. Familiarity to deploy and monitor ML models in production, delivering data products to end-users.
13. Experience with ML CI/CD pipelines.

• JAVA Microservices with AWS needed
• Provide solution architecture & design involving Cloud and DevOps
• Develop new microservices in a cloud-native way.
• Ensure the unit testing and code coverage are achieved as per the agreed percentage.
• Build reusable code and libraries for future use.
• Optimize application for maximum performance and scalability.
• Collaborate, and coordinate with team members and key stakeholders.
• Communicate effectively with different stakeholders.
• Ensure best practices & standards are followed during SDLC.
• Takes ownership of the whole solution from a technical perspective and ensures adherence to defined Architecture & Design.
• Ensures the latest technology standards, and guidelines are utilized for development.
• Performs consistent & adequate code reviews & feedback to the team.
• Training and induction of new resources on the projects.

Skills and Qualifications

• Deep understanding of OOPs and OOAD.
• Expert and hands-on in Java JEE and Spring framework, Spring Boot.
• Should have experience with RESTful web services and API standards.
• Should know various integration patterns in distributed environments.
• Working knowledge of microservice architecture and different design patterns.
• Hands-on in writing unit tests with Mockito and code coverage tools.
• Hands-on data modeling (Logical physical).
• Knowledge of RDBMS, SQL and any ORM framework (JPA, Hibernate etc.)
• Should know Event-driven and asynchronous programming using message broker.
• Should know about cloud IaaS, PaaS, SaaS and Serverless models of any cloud provider (AWS, Azure, GCP), preferably AWS.
• Knowledge of JavaScript frameworks like NodeJS (For the Backend) and Angular React (For Frontend) will be added advantage.
• Good to have DevOps related technologies like Container (Docker), Container Orchestrator (Kubernetes EKS)
• Excellent in communication

• 2-4 years of work experience, preferably in a startup
• An engineering degree preferably, from a top-tier school (or equivalent experience)
• Hands-on experience in the JavaScript ecosystem, libraries, and tooling (ES6/7), React.js, and Redux
• Knowledge of React Hooks is an added advantage.
• Expert knowwledge of HTML/CSS, web standards, best practices
• Good understanding of asynchronous request handling, partial page updates, and AJAX
• An experience of writing clean, well documented, semantic code with responsiveness and cross-browser compatibility in mind
• Ability to improvise, troubleshoot, and learn new skills on the job.
• Proficient understanding of code versioning tools, such as Git/SVN
• Excellent coding and debugging skills
• A passion and the ability to make beautiful, smooth, delightful web experiences
• A "Will Do" attitude

• A team of aces, from top-tier schools and startups, to work with
• A fast-paced, data-driven, and fun work environment
• A huge appetite for new, disruptive, creative, and implementable ideas
• An open work culture

• Competitive salary
• Great working environment, opportunity to work directly with the founders on very exciting real-life problems.
• Opportunity to grow really fast.
• Opportunity to hire a team & mentor them in the future.
• ESOPs

1. Shortlist
2. Intro call of 15min
3. Assignment
4. 1-2 Tech rounds
5. HR round
6. Offer rollout