Campus Ambassador

MANDATORY CRITERIA:

• Education: B.Tech / M.Tech in ECE / CSE / IT
• Experience: 10–12 years in hardware board design, system hardware engineering, and full product deployment cycles
• Proven expertise in digital, analog, and power electronic circuit analysis & design
• Strong hands-on experience designing boards with SoCs, FPGAs, CPLDs, and MPSoC architectures
• Deep understanding of signal integrity, EMI/EMC, and high-speed design considerations
• Must have successfully completed at least two hardware product development cycles from high-level design to final deployment
• Ability to independently handle schematic design, design analysis (DC drop, SI), and cross-team design reviews
• Experience in sourcing & procurement of electronic components, PCBs, and mechanical parts for embedded/IoT/industrial hardware
• Strong experience in board bring-up, debugging, issue investigation, and cross-functional triage with firmware/software teams
• Expertise in hardware validation, test planning, test execution, equipment selection, debugging, and report preparation
• Proficiency in Cadence Allegro or Altium EDA tools (mandatory)
• Experience coordinating with layout, mechanical, SI, EMC, manufacturing, and supply chain teams
• Strong understanding of manufacturing services, production pricing models, supply chain, and logistics for electronics/electromechanical components

DESCRIPTION:

COMPANY OVERVIEW:

The company is a semiconductor and embedded system design company with a focus on Embedded, Turnkey ASICs, Mixed Signal IP, Semiconductor & Product Engineering and IoT solutions catering to Aerospace & Defence, Consumer Electronics, Automotive, Medical and Networking & Telecommunications.

REQUIRED SKILLS:

• Extensive experience in hardware board designs and towards multiple product field deployment cycles.
• Strong foundation and expertise in analyzing digital, Analog and power electronic circuits.
• Proficient with SoC, FPGAs, CPLD and MPSOC architecture-based board designs.
• Knowledgeable in signal integrity, EMI/EMC concepts for digital and power electronics.
• Completed at least two project from high-level design to final product level deployment.
• Capable of independently managing product’s schematic, design analysis DC Drop, Signal Integrity, and coordinating reviews with peer of layout, mechanical, SI, and EMC teams.
• Sourcing and procurement of electronic components, PCBs, and mechanical parts for cutting-edge IoT, embedded, and industrial product development.
• Experienced in board bring-up, issue investigation, and triage in collaboration with firmware and software teams.
• Skilled in preparing hardware design documentation, validation test planning, identifying necessary test equipment, test development, execution, debugging, and report preparation.
• Effective communication and interpersonal skills for collaborative work with cross-functional teams, including post-silicon bench validation, BIOS, and driver development/QA.
• Hands-on experience with Cadence Allegro/Altium EDA tools is essential.
• Familiarity with programming and scripting languages like Python and Perl, and experience in test automation is advantageous.
• Should have excellent exposure with coordination of Manufacturing Services, pricing model for production value supply chain & Logistics in electronics and electromechanical components domain.

• Oversee daily store operations, ensuring everything runs smoothly and efficiently.
• Manage and lead a team of sales associates, setting goals and providing coaching to ensure targets are met.
• Maintain high standards of customer service, addressing customer concerns and feedback.
• Monitor inventory levels, order stock, and manage product displays.
• Analyze sales data and prepare reports for senior management.
• Implement promotional activities and sales strategies to drive revenue.
• Ensure compliance with all company policies, health and safety regulations, and local laws.
• Conduct regular store audits and ensure the store's appearance is up to company standards.
• Handle store budgets, payroll, and scheduling efficiently.

We are looking for a skilled DevOps Engineer with strong expertise in Microsoft Azure and Pulumi to join our growing engineering team. The ideal candidate will be responsible for designing, implementing, and maintaining scalable cloud infrastructure and CI/CD pipelines. This role requires hands-on experience with Infrastructure as Code (IaC), automation, and cloud-native DevOps practices while collaborating closely with development and platform teams. 

The candidate must be comfortable working in a U.S. time zone overlap, ensuring smooth collaboration with onshore teams. 

Key Responsibilities 

• Design, implement, and maintain cloud infrastructure on Microsoft Azure using modern DevOps practices. 
• Develop and manage Infrastructure as Code (IaC) using Pulumi to automate infrastructure provisioning and management. 
• Build, maintain, and optimize CI/CD pipelines to support reliable and frequent deployments. 
• Monitor, troubleshoot, and improve cloud infrastructure performance, availability, and security. 
• Collaborate with development teams to improve deployment processes and application reliability. 
• Implement automation and configuration management to streamline operations. 
• Manage containerized applications and orchestration platforms when applicable. 
• Ensure adherence to cloud security best practices, governance, and compliance standards. 
• Support production environments and resolve infrastructure-related issues in a timely manner. 
• Maintain documentation for infrastructure architecture, deployment pipelines, and operational procedures. 

Required Skills & Experience 

• 4–7 years of experience in DevOps, Cloud Engineering, or related roles. 
• Strong hands-on experience with Microsoft Azure cloud services. 
• Proven experience using Pulumi for Infrastructure as Code (must-have). 
• Experience building and managing CI/CD pipelines using tools like Azure DevOps, GitHub Actions, Jenkins, or similar. 
• Strong experience with containerization technologies (Docker, Kubernetes). 
• Proficiency with scripting languages such as Python, Bash, or PowerShell. 
• Experience with monitoring and logging tools. 
• Strong understanding of cloud networking, security, and identity management. 
• Experience with Git-based version control systems. 

Preferred Qualifications 

• Experience with Kubernetes in Azure (AKS). 
• Familiarity with observability tools such as Prometheus, Grafana, or similar. 
• Experience with cloud cost optimization and performance tuning. 
• Knowledge of DevSecOps practices and security automation. 
• Azure certifications such as Azure DevOps Engineer Expert or Azure Administrator.

Senior Machine Learning Engineer

About the Role

We are looking for a Senior Machine Learning Engineer who can take business problems, design appropriate machine learning solutions, and make them work reliably in production environments.

This role is ideal for someone who not only understands machine learning models, but also knows when and how ML should be applied, what trade-offs to make, and how to take ownership from problem understanding to production deployment.

Beyond technical skills, we need someone who can lead a team of ML Engineers, design end-to-end ML solutions, and clearly communicate decisions and outcomes to both engineering teams and business stakeholders. If you enjoy solving real problems, making pragmatic decisions, and owning outcomes from idea to deployment, this role is for you.

What You’ll Be Doing

Building and Deploying ML Models

• Design, build, evaluate, deploy, and monitor machine learning models for real production use cases.
• Take ownership of how a problem is approached, including deciding whether ML is the right solution and what type of ML approach fits the problem.
• Ensure scalability, reliability, and efficiency of ML pipelines across cloud and on-prem environments.
• Work with data engineers to design and validate data pipelines that feed ML systems.
• Optimize solutions for accuracy, performance, cost, and maintainability, not just model metrics.

Leading and Architecting ML Solutions

• Lead a team of ML Engineers, providing technical direction, mentorship, and review of ML approaches.
• Architect ML solutions that integrate seamlessly with business applications and existing systems.
• Ensure models and solutions are explainable, auditable, and aligned with business goals.
• Drive best practices in MLOps, including CI/CD, model monitoring, retraining strategies, and operational readiness.
• Set clear standards for how ML problems are framed, solved, and delivered within the team.

Collaborating and Communicating

• Work closely with business stakeholders to understand problem statements, constraints, and success criteria.
• Translate business problems into clear ML objectives, inputs, and expected outputs.
• Collaborate with software engineers, data engineers, platform engineers, and product managers to integrate ML solutions into production systems.
• Present ML decisions, trade-offs, and outcomes to non-technical stakeholders in a simple and understandable way.

What We’re Looking For

Machine Learning Expertise

• Strong understanding of supervised and unsupervised learning, deep learning, NLP techniques, and large language models (LLMs).
• Experience choosing appropriate modeling approaches based on the problem, available data, and business constraints.
• Experience training, fine-tuning, and deploying ML and LLM models for real-world use cases.
• Proficiency in common ML frameworks such as TensorFlow, PyTorch, Scikit-learn, etc.

Production and Cloud Deployment

• Hands-on experience deploying and running ML systems in production environments on AWS, GCP, or Azure.
• Good understanding of MLOps practices, including CI/CD for ML models, monitoring, and retraining workflows.
• Experience with Docker, Kubernetes, or serverless architectures is a plus.
• Ability to think beyond deployment and consider operational reliability and long-term maintenance.

Data Handling

• Strong programming skills in Python.
• Proficiency in SQL and working with large-scale datasets.
• Ability to reason about data quality, data limitations, and how they impact ML outcomes.
• Familiarity with distributed computing frameworks like Spark or Dask is a plus.

Leadership and Communication

• Ability to lead and mentor ML Engineers and work effectively across teams.
• Strong communication skills to explain ML concepts, decisions, and limitations to business teams.
• Comfortable taking ownership and making decisions in ambiguous problem spaces.
• Passion for staying updated with advancements in ML and AI, with a practical mindset toward adoption.

Experience Needed

• 6+ years of experience in machine learning engineering or related roles.
• Proven experience designing, selecting, and deploying ML solutions used in production.
• Experience managing ML systems after deployment, including monitoring and iteration.
• Proven track record of working in cross-functional teams and leading ML initiatives.

Role - Manager Programmatic

About our client :

Our Client is a digital- first global performance marketing agency& world's largest media investment company which is a part of WPP. They a global digital transformation agency with 1200 employees across 21 nations. Our team of experts support clients in programmatic, social, paid search, analytics, technology, organic search, affiliate marketing, e-commerce and across traditional channels.

Locations - Mumbai, Pune & Chennai

What your day job looks like :

- Manage a team of programmatic professionals with expertise in programmatic media

- Maintain positive client relationships, expectations, and communications

- Identify and solve client risks before they escalate to issues

- Oversee the cross-functional campaign development with internal SEO/Search/Content/Social teams as well as sister media agencies

- Build on existing level of programmatic expertise and develop a reputation for innovation and efficiency internally

- Ensure the integration of programmatic into the overall communications strategy

- Support and lead the strategic development and execution of programmatic campaigns

- Foster teamwork and create a constructive work environment

- Maintain a high level of employee commitment

- Provide team leadership that rewards creativity

- Demonstrate thought leadership for clients and the industry

- Educate clients on the importance of programmatic in the overall marketing mix

- Understand clients' business and generate new ideas to enhance client performance

- Provide effective analysis to support marketing recommendations.

What you'll bring:

- 4+ years of aligned industry experience, preferably within an agency

- Experience executing on Programmatic platforms (DV360, The Trade Desk, App Nexus (Xandr Invest), Amazon, etc.)

- Experience with analytical tools is an asset (Google Analytics, PMP Partners, Ad Servers, DMPs, etc.)

- Demonstrated strong client relationship responsibility

- Proven account management experience, including analytical and creative problem-solving skills

- Ability to interact in a professional manner and communicate with clients over calls

- Proven ability to lead successful campaigns

- Superior verbal and written skills with outstanding presentation ability

- High level of attention to detail and the ability to handle and prioritize multiple accounts

- High level of technical proficiency in Microsoft Office, specifically Excel and PowerPoint

- Come with experience of handling 6-7 direct reporters

Develop and maintain visually appealing, user-friendly web interfaces using HTML, CSS, JavaScript, and modern front-end frameworks (e.g., React, Angular, Vue.js).

Collaborate with designers and back-end developers to implement and enhance the user experience.

Convert design mockups and wireframes into high-quality, responsive web pages.

Optimize applications for maximum speed, performance, and scalability.

Ensure cross-browser compatibility and responsiveness across various devices.

Write clean, maintainable, and reusable code.

Participate in code reviews to maintain code quality and improve team knowledge.

Work with front-end build tools and version control systems (e.g., Webpack, Git).

Continuously research and stay up to date with the latest trends, best practices, and technologies in front-end development.

• Ability to work effectively in a team environment Pleasant, professional, and courteous personality skill
• Excellent verbal and written communication skills
• Providing Voice support to Internal and External End Users. The job will require you to handle inbound calls / emails / chats regarding technical issues for end users.
• Perform problem cause analysis
• Resolve customer queries and achieve customer delight.
• Ability to Identify Opportunity and Implement Process Improvements

We are looking for a self-driven, passionate Android developer who can join our mission in building a product that solves real problems in the simplest and most elegant manner possible. We want to make financial services inclusive and accessible to all.

Welcome aboard if:

- You have done Android development with Kotlin and some state management frameworks for at least 1 year

- You push the code to Git before you leave the office

- You take pride in building the features and take end-to-end ownership

- You love Agile and believe in writing more than enough tests, code reviews, and iterative development