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The Assistant Professor in CSE will teach undergraduate and graduate courses, conduct independent and collaborative research, mentor students, and contribute to departmental and institutional service.
Your Responsibilities
what you will wake up to solve.
- Process-First AI Strategy: Principal Technical Expert: Act as a hands-on leader and the core technical authority tasked with "futurifying" client businesses through advanced AI. Take full ownership of the AI Engineering squad, transforming ambitious concepts into high-impact, tangible realities.
- Engineering & Intelligent Deployment: Execute the full-lifecycle development of innovative AI/ML solutions, including hands-on design, coding, testing, and deployment of robust, scalable systems that prioritize technical excellence and business relevance.
- Scalability & Architectural Optimization: Directly build and optimize high-performance AI architectures and core system components to ensure solutions are reliable, production-ready, and optimized for long-term operational success.
- Impact-Driven Technical Expertise: Deliver intelligent client outcomes through direct technical contribution, maintaining an "Always Beta" mindset and a relentless focus on solving complex engineering challenges.
- Leadership through Action: Lead by example rather than control, coaching and mentoring a high-performing squad of "happier Do-ers" to foster a vibrant culture of continuous innovation and technical excellence.
- Strategic Integration & Collaboration: Partner across internal teams to translate chaotic business challenges into precise technical requirements, ensuring seamless solution integration and adoption for global clients.
- The "Agentic" Shift: You will lead the transition from simple predictive models to Agentic Workflows. You will build systems where AI agents can plan, reason, and execute complex tasks autonomously to solve intricate business problems.
- Talent & Culture: You will mentor a high-performance squad of AI Engineers and Data Scientists. You will teach them to look beyond the algorithm and understand the business outcome.
Functional Skills
Scaling Intelligent Workforce through Delivery Excellence
- Deep Technical Acumen: Operates at the cutting edge of AI, applying advanced technical knowledge to engineer and implement groundbreaking solutions, and guide the squad in developing future capabilities.
- Client Advocacy & Revenue Growth: Skill in cultivating and maintaining trusted client partnerships. Drives strategic engagement that results in repeat business and expanded client portfolios within the region.
- Contract & Risk Governance: High proficiency in reviewing and managing complex project agreements (SoW), mitigating delivery risks, and navigating commercial negotiations to safeguard BU profitability.
- Structured Problem-Solving: Simplifies chaotic technical challenges for the squad by breaking them into solvable chunks using first-principles thinking.
- Squad Delivery Ownership: Follows through on the squad's solution execution—owning technical outcomes from ideation to deployment with rigor, precision, and pride, ensuring tangible, real-world business value.
Technical Oversight & Execution Charter
- Technical Troubleshooting & Crisis Resolution: Actively manages technical roadblocks within the squad, personally intervening to troubleshoot ML or MLOps constraints. You ensure the protection of sprint timelines and the guaranteed performance of deployed models through hands-on problem-solving.
- Cloud-Native Technical Command: Maintains deep, functional knowledge of modern AI system design (e.g., RAG Frameworks, Agentic Workflows, and Inference Optimization) across GCP and AWS. You hold the responsibility to validate squad-level technical roadmaps, ensuring they are technically feasible and production-hardened.
- End-to-End Project Management: Expertly manage all aspects of a project, including scope, budget, timelines, and stakeholder communication. Accountable for the entire delivery, not just the technical parts.
- Talent Strategy & Mentorship: Drive the hiring and development of specialized talent. You will be responsible for defining and optimizing effective team structures while proactively fostering an environment that champions creative problem-solving and technical agility.
Tech Superpowers
- Deep AI Engineering Mastery & Guidance: Possesses profound, hands-on expertise in engineering, optimizing, and deploying foundational models, custom AI solutions, and complex multi-modal systems. You'll also guide your squad in understanding model architectures, training methodologies, and ethical AI development from the ground up, ensuring their collective proficiency.
- Intelligent Systems Architecture & Oversight: You'll directly contribute to and oversee the coding and implementation of robust, scalable, and production-grade AI platforms and MLOps components for your squad's projects. You'll translate abstract technical requirements into high-performance, maintainable AI system designs, always considering reliability, security, and future extensibility across the squad's work.
- Cloud-Native AI capability: More than cloud-certified, you are deeply cloud-capable in applied AI engineering. You proficiently leverage and guide your team in utilizing leading cloud AI/ML ecosystems to build, deploy, and manage AI solutions.
- Technical Integrity & Ethical Governance: Establishes and audits mandatory technical quality benchmarks, ensuring strict adherence to rigorous policies regarding model validation, automated testing coverage, and ethical governance.
Experience & Relevance
- A value-driven AI/ML Engineering Manager with 8+ years of experience in building and scaling end-to-end AI engineering and solution delivery.
- Leadership Track Record: Proven track record as a hands-on builder, and lead, contributing to the design, development, and deployment of complex, enterprise-grade AI/ML platforms and solutions. Expert in leveraging Google Cloud's AI/ML ecosystem (Vertex AI, BigQuery ML, GKE for MLOps) to deliver highly performant, scalable, and impactful AI transformations.
- Delivery & Advisory Record: Experience in building and optimizing intelligent systems and personally driving the technical execution from conception to scalable deployment.
- Applied AI & Domain Expertise: Hands-On AI Deployment: Extensive hands-on experience deploying AI-powered workflows, copilots, and automation solutions in production environments.
- Client-Facing Lead: Demonstrated hands-on experience as an AI/ML Product Manager, Data Science Manager, or Technical Architect in client-facing capacities. This involves directly building, implementing, and advising on complex AI solutions, consistently acting as the trusted technical authority for strategic clients.
Bonus Points (you will thrive if you have)
- Founder’s Energy: Bias for action, thrive in ambiguity, relentless focus on outcomes.
- Low-Code/No-Code Fluency: Experience with AI integrations via Power Platform or similar.
- AI Copilots & Extensions: Built plugins, copilots, or agentic automation frameworks.
- Thought Leadership DNA: Industry content creation, technical blogs, public speaking.
- Ethical Compass: Strong commitment to responsible AI practices.
- Engineer at Heart: Background in product development or engineering before moving into architecture.
The Quality Inspector is responsible for inspecting, testing, and monitoring products to ensure they meet required quality standards, specifications, and safety guidelines. The role involves identifying defects, maintaining quality records, and supporting continuous improvement in manufacturing or production processes.
Key Responsibilities:
- Inspect raw materials, in-process items, and finished products for quality and compliance
- Measure products using gauges, calipers, micrometers, and other inspection tools
- Identify defects, deviations, or non-conformities and report them to supervisors
- Maintain accurate inspection reports, quality logs, and documentation
- Ensure products comply with company standards, customer requirements, and ISO guidelines
- Support root cause analysis and corrective/preventive actions
- Follow safety, hygiene, and quality procedures at all times
- Coordinate with production and engineering teams to improve product quality
Responsibilities
Set up and operate Vertical Machining Centers (VMCs) according to production requirements.
Read and interpret engineering drawings and blueprints to determine machining procedures.
Monitor machine operations to ensure quality and precision of produced parts.
Perform routine maintenance and troubleshooting of VMC equipment.
Inspect finished parts for conformance to specifications using precision measuring instruments.
Document and record production data and machine performance.
Collaborate with engineering and production teams to optimize manufacturing processes.
Ability to read and interpret technical drawings and blueprints.
Strong understanding of CNC programming and machining processes.
Attention to detail and commitment to quality.
Good problem-solving skills and mechanical aptitude.
Ability to work independently and as part of a team.
Job Summary:
We are seeking a seasoned Java Backend Developer Lead to drive the design, development, and deployment of robust backend systems. This role requires hands-on coding expertise, architectural vision, and the ability to mentor and lead a team of developers in delivering high-performance, scalable applications.
Key Responsibilities:
- Lead the backend development team in designing and implementing microservices-based architectures using Java (preferably Java 11+).
- Architect and develop RESTful APIs and backend services using Spring Boot, Hibernate, and related frameworks.
- Collaborate with DevOps teams to streamline CI/CD pipelines using Jenkins, Docker, and Kubernetes.
- Ensure code quality through code reviews, unit testing (JUnit/TestNG), and integration testing.
- Optimize application performance and scalability through profiling and tuning.
- Guide team members in adopting best practices in software engineering, including Agile methodologies.
- Work closely with product managers, frontend developers, and QA teams to deliver end-to-end solutions.
- Maintain documentation and ensure knowledge sharing across the team.
Required Skills:
- Strong proficiency in Java, Spring Boot, and REST API development.
- Experience with relational databases (MySQL, PostgreSQL) and NoSQL (MongoDB, Redis).
- Familiarity with messaging systems like Kafka or RabbitMQ.
- Solid understanding of cloud platforms (AWS, Azure, or GCP).
- Experience with containerization and orchestration tools (Docker, Kubernetes).
- Excellent problem-solving, debugging, and analytical skills.
- Strong leadership and communication abilities.
Preferred Qualifications:
- Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
- 7+ years of backend development experience, with at least 2 years in a lead role.
- Exposure to security best practices and performance testing tools like JMeter.
To prepare placement students with the technical knowledge, skills, and confidence required to succeed in campus recruitment drives, technical interviews, and entry-level job roles in the industry.
Requirements:
- Bachelor’s degree in computer science, computer engineering or similar.
- Previous work experience as an AngularJS developer.
- Proficient in CSS, HTML, and writing cross-browser compatible code.
- Experience using JavaScript building tools like Gulp or Grunt.
- Knowledge of JavaScript MV-VM/MVC frameworks including AngluarJS.
- Technical lead skills. Can handle a team or independent technical delivery
- Proven experience implementing front-end and back-end JavaScript applications.
- Excellent communication skills.
- Critical thinker and good problem-solver.
- Atleast 5 Years of relevant experience in Serverless Microservice developerment in AWS with strong Java technologies and frameworks like Spring, Hibernate etc.,
- Atleast played the role of Lead or above for 2 years,
- Strong Javascript expertise with exprience in JS heavy (ReactJS, NodeJS, NextJS etc) application developement.
- Solid experience with AWS serverless functions.
- Experience on Java (API) suite and web frameworks.
- Expertise around extending AWS core functionalities and extensively customizing it.
- Experience with Continuous Integration and Automated test execution and building tools such as Jenkins, Hudson, Selenium or Maven,
- Experience in leading an Agile development team.
- Excellent communication skills.
- Certification in AWS as Solution Architect is preferred.
- Understanding of e-Commerce domain is good to have.
Role Description:
- Design, develop and maintain application architectures that support clients business requirements.
- Work with project managers and leadership team to ensure that all project deliverables are delivered on time with high quality.
- Work collaboratively with cross functional teams; QA, UX, etc
- Assist in deploying applications to Dev, QA, Production environments and migrations.
- Optimize application performance, scalability and security.
- Provide strong leadership skills, including the ability to facilitate team and client meetings effectively
- Independently lead the estimation effort for a project
- Lead global Agile development teams and perform code reviews.
Job Title: iOS - Flutter Developer
Location : 100% Remote / Chennai / Coimbatore / Indore (As per your convenience)
Roles and Responsibilities :
- Design and Build sophisticated and highly scalable apps using Flutter.
- Build custom packages in Flutter using the functionalities and APIs already available in native Android / IOS.
- Translate and Build the designs and Wireframes into high quality responsive UI code.
- Write efficient queries for core Data.
- Explore feasible architectures for implementing new features.
- Ensure security guidelines are always followed while developing the app.
- Ensure security guidelines are always followed while developing the app.
- Resolve any problems existing in the system and suggest and add new features in the complete system.
- Follow the best practices while developing the app and also keeping everything structured and well documented.
- Use CI/CD for smooth deployment.
- Document the project and code efficiently.
- Communicate with the Project Manager regarding status of projects and suggest appropriate deadlines for new functionalities.
- Validate the cloud system to ensure any new changes do not compromise security of the backend server.
- Maintaining software through product lifecycle including design, development, verification and bug fixes.
- Connect regularly with the Quality Assurance Specialist to deliver stable app.
- Resolve all the bugs reported by the Quality Assurance Specialist in a timely manner.
- Perform time profiling and memory leaks assessment.
- Execute app verification protocol.
Good to have:
- Flutter: To build cross platform mobile apps for Android, IOS and Web.
- Design responsive UIs to efficiently query data
- Mange states in an optimized manner.
- Native Android / IOS: To build custom Flutter Packages.
- Experience in working on Chat and VOIP based applications like WhatsApp, FB Messenger etc.
- Firebase: Should have experience with Cloud Firestore, Push Notifications, Cloud Functions and Analytics.
- Adobe XD: Should know how to use Adobe XD to use the design file and use it to build the app.
- Git: To manage and collaborate in different projects with the rest of the team
- Good To Have Angular, Bootstrap, JavaScript
- Good knowledge of Software Configuration Management, version control and defect tracking tools
- Good communication skills and versatile team player
- Write tests for the App.





