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Job Title: Associate Professor – Computer Science Engineering (CSE)

Department: CSE

Job Summary:

The Associate Professor (CSE) is responsible for teaching core computer science subjects, training students in programming and emerging technologies, and contributing to research and academic excellence.

Key Responsibilities:

• Teach subjects like Data Structures, Algorithms, DBMS, Operating Systems, and Programming Languages
• Train students in coding, software development, and industry-relevant skills
• Conduct lab sessions, workshops, and technical training programs
• Evaluate students through exams, assignments, and projects
• Guide students in internships, mini-projects, and final-year projects
• Participate in curriculum development and research activities

Qualifications:

• M.E./M.Tech in Computer Science or related field
• Ph.D. (preferred)
• NET/SET (if applicable)

Skills Required:

• Strong programming knowledge (Java, Python, C++, etc.)
• Teaching and technical training skills
• Knowledge of latest technologies (AI, Data Science, Cloud, etc.)
• Research and analytical skills

Experience:

• 3–8 years of teaching/industry experience

About Techjays

At Techjays, we build production-grade AI platforms for global clients. We operate at the intersection of backend engineering, distributed systems, and applied AI — delivering secure, scalable, and enterprise-ready intelligent systems. Our team has built and scaled products at Google, Akamai, NetApp, ADP, Cognizant, and Capgemini.

About the Role

This is not a feature-delivery role. We are looking for an AI Lead who can architect, own, and scale intelligent backend systems end-to-end. You will drive both technical direction and execution — working across LLM integrations, RAG pipelines, agentic AI workflows, and cloud-native backend systems for global clients.

What You'll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement RAG pipelines, AI agents, and LLM integrations
• Own systems end-to-end — from architecture to deployment and scaling
• Integrate and optimize LLMs (Claude, GPT, Gemini) for real-world production use cases
• Build high-performance distributed systems with observability and cost efficiency
• Lead backend and AI initiatives with strong technical ownership
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to deliver AI-native solutions

What We're Looking For

• 6–10 years of strong backend engineering experience
• Hands-on expertise in Python (FastAPI / Django / Flask)
• Deep understanding of Generative AI and LLM-based systems
• Strong experience with RAG pipelines and Vector Databases (Pinecone, FAISS, ChromaDB, Weaviate)
• Solid knowledge of Agentic AI — building autonomous agents and multi-agent workflows
• Proficiency in AWS or GCP in production environments
• Experience with distributed systems, microservices, and system design
• Strong grasp of Data Structures, Algorithms, and Design Patterns
• Familiarity with WebSockets, Git, Linux/Unix, and CI/CD

Nice to Have

• Experience with Anthropic Claude API and Claude Code
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• MLOps and AI system lifecycle experience
• Optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable navigating fast-moving, ambiguous environments
• You stay updated with the latest in Generative AI and backend technologies
• Strong communicator who can collaborate across teams and global clients

What We Offer

• Competitive compensation (Best in Industry)
• Work on production-grade AI systems used by global clients
• Exposure to cutting-edge AI tools and frameworks
• A culture that values clarity, integrity, and continuous growth

Educational Qualifications

• B.E./B.Tech in CSE or related field
• M.E./M.Tech in CSE (mandatory for most colleges)
• Ph.D. in CSE (required for universities, IITs/NITs, and highly preferred everywhere)
• Qualifying exams like UGC NET or GATE can strengthen your profile 

Core Technical Skills

Strong foundation in:

• Data Structures & Algorithms
• Operating Systems
• Computer Networks
• Database Management Systems
• Object-Oriented Programming (Java, C++, Python)

Specialized areas (choose 1–2):

• Artificial Intelligence / Machine Learning
• Cybersecurity
• Cloud Computing
• Data Science
• Software Engineering

Teaching & Communication Skills

• Ability to explain complex topics clearly
• Presentation skills (PowerPoint, whiteboard teaching)
• Curriculum design and lesson planning
• Student engagement and mentoring 

Looking for HR interns for 6 months period with provided certificates and job guidance. Will train on end to end life cycle process with payroll and statutory process.

Expected Date of Joining Immediate/ 30 days  

What makes Techjays an inspiring place to work

At Techjays, we are helping companies reimagine how they build, operate, and scale with AI at the core.

We operate as part of the 1% of companies globally that can truly leverage AI the right way and not just as experimentation, but as secure, scalable, production-grade systems that drive measurable business outcomes.

Our strength lies in combining deep backend engineering with AI system design, building AInative platforms, intelligent workflows, and cloud architectures that are reliable, observable, and enterprise-ready. Our team includes engineers and leaders who have built and scaled products at global technology organizations such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. Today, we function as a high-agency, execution-focused team building advanced AI systems for global clients.

About the role

We are looking for a strong backend engineer who can design and build secure, scalable Python systems that power AI-native applications.

You will work on AI-enabled platforms, production systems, and scalable backend services that support LLM integrations, RAG pipelines, and intelligent workflows.

Years of Experience: 3 - 5 years

Location: Coimbatore

Key Skills

Backend Development (Familiar):

• Python
• Django / Flask
• RESTful APIs
• Websockets

Cloud Technologies (Familiar):

• AWS (EC2, S3, Lambda)
• GCP (Compute Engine, Cloud Storage, Cloud Functions)
• CI/CD pipelines with Jenkins / GitLab CI or Github Actions

Databases (Familiar):

• PostgreSQL
• MySQL
• MongoDB

AI/ML (Familiar):

• Basic understanding of Machine Learning concepts
• Assist in building and integrating Agentic AI workflows
• Familiar with RAG
• Vector Databases (Pinecone or ChromaDB or others)

Tools:

• Git
• Docker
• Linux

Roles and Responsibilities

• Develop and maintain backend services using Python and Django/Flask under guidance.
• Assist in building scalable and secure APIs and backend systems for AI-driven applications.
• Write clean, efficient, and maintainable code following best practices.
• Collaborate with cross-functional teams including frontend developers, data scientists, and product teams.
• Participate in code reviews, debugging, and performance optimization.
• Support integration of AI/ML components such as LLMs and RAG pipelines.
• Continuously learn and improve technical skills in backend and AI technologies.

What We’re Looking for Beyond Skills

• Builder mindset — you think in systems, not just tickets
• Ownership — you take features from idea to production
• Structured thinking in ambiguous environments
• Clear communication and collaborative approach
• Ability to work in a fast-paced, evolving startup environment

What We Offer

• Competitive compensation
• Paid holidays & flexible time off
• Medical insurance (Self & Family up to ₹4 Lakhs per person)
• Opportunity to work on production-grade AI systems
• Exposure to global clients and high-impact projects
• A culture that values clarity, integrity, and continuous growth

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.

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

1. 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.

2. 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.

Why you’ll love being a ‘Searcian’

NOT your ‘usual’ management consultancy; we ‘solve differently’.

• We are happier. No really happier’: A vibrant, inclusive, and supportive work environment. We even have a dedicated role for ‘Better Living’.
• The Company You Keep (Says Everything): solvers. engineers. tinkerers. improvers. futurists operating across 12 countries.
• No room for CAVEers (Constantly Against Virtually Everything people). Instead, we make room for a meditation room in our offices.
• No bloat: 27 people meeting with 23 clueless people. Not happening here. We also don't do the meetings to plan for pre-meetings.
• No bureaucracy. Zero entropy. Real decision-making velocity: We’re large enough to solve the world’s most complex business challenges, yet small and agile enough to value individual humans. With us, you’re a name, not an employee ID number lost in a sea of 37,000 people where it takes a year just to decide ‘who will decide’.
• Ideas over Hierarchy: We reject HiPPOs (Highest Paid Person’s Opinion). The most well-reasoned ideas win - regardless of whose name is on them. That dangerous phrase, "We’ve always done it this way," dies here.
• Own-the-outcome: The buck stops with you. Doesn’t matter if you are an intern. (Psst: A ‘real intern’ actually drafted this JD.)
• Expert ‘wholesome generalists’, Not ‘one-nut-tighteners’. At Searce, you see the whole picture — how the car is designed, built, and driven — not just how to tighten the third nut on a red 1962 Ford Falcon owned by Vinny’s cousin. Real impact comes from knowing why that nut matters to the person behind the wheel.
• You ‘do stuff’ that matters. Not just “follow up on the deck we shared.”
• Gain more years in your Searce-perience: We operate at a 3.65x experience velocity—yes, we measured it. (and charted it to the scale too)

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Who are we ?

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

Tech Superpowers

End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.

The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.

Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.

Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.

The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table

Experience & Relevance

Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads

Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.

Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.

Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time analytics architectures.

Foster a culture of technical excellence by mentoring and inspiring a team of Data analysts and engineers. Lead deep-dive code reviewa, prompte best-practice data modeling and ensure the squad adopts modern engineering standards like CI/CD For data

Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.

The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.

Who are we ?

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

Tech Superpowers

End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.

The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.

Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.

Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.

The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table

Experience & Relevance

Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads

Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.

Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.

Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time

analytics architectures.

Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.

The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.

Job Description – AI Tech Lead

Location: Bangaluru

Experience: 10+ Years

Function: AI Center of Excellence (CoE)

Reporting To: Senior Vice President – CX / Head of AI CoE

We are seeking two highly experienced AI Tech Leads (AVP/DGM level) to drive the architecture, development, and delivery of large‑scale AI solutions spanning Predictive AI, GenAI, and Agentic AI across BPM, IT Services, Digital, Data Engineering, and Enterprise Transformation programs.

The role demands strong technical leadership, solution design capabilities, hands‑on execution ownership, and the ability to lead multi‑disciplinary teams to deliver scalable, production‑grade AI systems.

2. Key Responsibilities

A. Solution Architecture & Strategy

• Lead end‑to‑end solution architecture across Predictive AI, GenAI, Agentic AI, and enterprise data ecosystems.
• Partner with business and technology teams to define AI strategy, technical roadmaps, and implementation frameworks.
• Translate business goals into scalable AI architectures leveraging microservices, distributed systems, and modern AI toolchains.
• Own architectural decisions on model design, data pipelines, deployment frameworks, MLOps stack, and scaling strategies.

B. Project Delivery & Execution Leadership

• Drive the complete AI project lifecycle: Requirement Analysis → Architecture → Model Development → Engineering → Deployment → Monitoring.
• Lead AI engineering teams in developing production‑grade ML/GenAI/Agentic solutions with high reliability and performance.
• Establish and enforce engineering best practices, coding standards, DevOps/MLOps processes, and quality controls.
• Manage multiple concurrent AI initiatives with strong governance, risk mitigation, and stakeholder communication.

C. Technical Hands-on Expertise

• Architect and build complex AI systems involving:
• Large Language Models (LLMs) & GenAI apps
• Agentic workflows and autonomous task orchestration
• Predictive modeling, forecasting, optimization, and statistical modeling
• Knowledge graphs, vector databases, embeddings
• Data engineering pipelines (ETL/ELT) and cloud-native architectures
• Drive model evaluation, experimentation, benchmarking, A/B testing, and continuous improvements.

D. Team Leadership & Mentoring

• Lead and mentor a team of AI engineers, data scientists, MLOps engineers and developers.
• Build internal capabilities by establishing training, code reviews, reusable accelerators, and technical playbooks.
• Actively collaborate with product managers, data engineering teams, CX strategy teams, and domain SMEs.

E. Stakeholder & Client Management

• Act as a technology partner during client discussions, proposals, RFP responses, and solution demonstrations.
• Communicate complex AI concepts to CXOs, business leaders, and non-technical stakeholders seamlessly.
• Support pre-sales with solutioning, effort estimation, and technical presentations.

3. A. Technical Skills

• Strong proficiency in Python, cloud platforms (Azure/AWS/GCP), and AI frameworks (TensorFlow, PyTorch, LangChain, LlamaIndex).
• Hands-on experience building applications using:
• LLMs, RAG, fine‑tuning, prompt engineering
• Autonomous AI agents & multi-agent systems
• Predictive ML models (Regression, Classification, Clustering, NLP, CV)
• Expertise in microservices architecture, API design, scalable deployments.
• Strong command over SDLC, Agile methodologies, CI/CD, DevOps & MLOps.
• Experience with data engineering tools: Spark, Databricks, Airflow, Kafka, SQL/NoSQL, and modern data lakehouse platforms.

B. Functional & Domain Skills

• Experience working in BPM, Customer Experience, Digital Transformation, IT Services.
• Ability to map AI use cases to business value: workflow optimization, automation, customer experience, operations, and analytics.

C. Leadership & Soft Skills

• Strong team leadership and mentoring experience.
• Excellent communication, client-facing abilities, and stakeholder management skills.
• Strong decision-making, problem-solving, and delivery ownership.

4. Qualifications

• Bachelor’s / Master’s in Computer Science, Engineering, Data Science, or related fields.
• 10–15 years total experience with at least 5+ years leading AI/ML projects.
• Demonstrated success delivering large-scale AI programs in enterprise environments.
• Certifications in AI/ML, cloud, or architecture (preferred).

INDIA MART [ Auto - buyleads ] / GOOGLE MY BUSINEES [ Auto inquiry ] / SOCIAL MEDIA [ Auto inquiry ] / EXCISTING REF [ Auto inquiry ]                    [ LEADS->CALLS -> QUOTATIONS -> FILING -> FOLLOW UP -> ORDERS -> PAYMENT -> AFTER SALES -> REVIEWS ]  All the follow ups related to sales should be in updated in drive Immediate basis.

Responsible for managing daily service schedules and in-house service activities, preparing technical reports, maintaining records of installations and services, handling order reviews and payment follow-ups, and ensuring consistent 5S implementation on a daily basis.

WORK LOCATION: COIMBATORE

Job Summary

A Staff Nurse in a physiotherapy clinic supports physiotherapists in delivering patient care, assists in rehabilitation procedures, and ensures patients receive safe, effective, and comfortable treatment throughout their recovery process.

Required Qualifications

• Diploma or Bachelor’s Degree in Nursing (GNM / B.Sc Nursing)
• Valid nursing registration with the Nursing Council
• Basic Life Support (BLS) certification (preferred)

Skills and Competencies

• Knowledge of basic physiotherapy procedures and rehabilitation support
• Good communication and interpersonal skills
• Ability to assist patients with mobility and physical exercises
• Teamwork and coordination with physiotherapists
• Compassion, patience, and a caring attitude
• Attention to detail and organizational skills

Key Responsibilities

• Assist physiotherapists during patient assessment and treatment sessions
• Prepare patients for physiotherapy procedures and guide them through basic exercises
• Monitor patients’ vital signs and overall condition during therapy
• Help in positioning, mobilizing, and transferring patients safely
• Maintain treatment areas, therapy equipment, and hygiene standards
• Administer basic nursing care when required
• Educate patients and caregivers on home care routines and exercise plans
• Maintain accurate patient records and treatment documentation
• Ensure infection control and safety protocols are followed
• Provide emotional support and reassurance to patients

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.

• We are hiring a Sales Intern for CloudApex, the AWS certification solution by Gencanyon Technologies Private Limited.
• The role involves lead generation, customer outreach, product pitching, follow-ups, and supporting sales conversion for our AWS certification offering.
• The ideal candidate should have strong communication skills, interest in sales, and the ability to work in inside sales, tele-sales, field sales, and business development activities.
• Experience or interest in technical sales, edtech subscriptions, and certification programs will be an added advantage.
• Performance-based allowance will be provided based on sales achieved.

🚀 We're Hiring — Backend Developer (3–5 Yrs Exp)

📍 Location: Coimbatore / Remote (India)

⏱ Notice: Immediate

🔧 What You'll Do:

• Build and maintain scalable REST APIs

• Work with Django/Flask on production-grade systems

• Manage databases — PostgreSQL, MySQL, MongoDB

• Implement caching (Redis) & queuing (RabbitMQ/Kafka)

• Deploy & manage services using Docker

• Work on AWS or GCP cloud infrastructure

• Collaborate via Git, CI/CD pipelines

✅ You Should Have:

• 3–5 years of hands-on Python backend experience

• Strong grasp of data structures & design patterns

• Comfort with Linux & version control workflows

• Good communication & team collaboration skills

⭐ Bonus Points:

• Experience with LLM integrations or RAG pipelines

• Familiarity with Vector DBs (Pinecone/ChromaDB)

• Prior startup or fast-paced environment experience

Interested? Drop your resume or refer someone who'd be a great fit! 💼

Role Overview:

We are looking for a proactive and high-performing Business Development Executive with proven

experience in product-based sales, particularly ERP solutions. This role is ideal for someone who thrives

in a fast-paced environment and is passionate about driving business growth through strategic client

engagement and solution-based selling.

Responsibilities

• Generate and qualify leads through outbound prospecting (cold calls, emails, LinkedIn outreach) and manage inbound enquiries.
• Develop and execute sales strategies to achieve revenue targets for ERP and related solutions.
• Identify and prospect mid-size to enterprise-level clients across multiple industries.
• Deliver compelling product demonstrations and value-based presentations tailored to client needs.
• Own the entire sales cycle: prospecting, qualification, proposal, negotiation, and closure.
• Maintain accurate pipeline and activity tracking in CRM tools; ensure timely follow-ups and reporting.
• Consistently achieve or exceed monthly/quarterly sales targets.

Required Skills

• Proven experience in B2B sales, preferably in ERP products (e.g., Odoo, SAP, Oracle, etc.)
• Solid understanding of ERP workflows (Finance, HR, Manufacturing, etc.).
• Demonstrated success in cold calling, lead generation, and closing deals.
• Strong communication and consultative selling skills with the ability to influence
• decision-makers.
• Experience in enterprise buying cycles, building a pipeline, and consultative sales processes.
• Experience managing the complete sales cycle, including account management and renewals.
• Track record of consistently meeting or exceeding sales quotas.

Qualifications:

• Bachelor’s degree in Business, Marketing, IT, or a related field.
• MBA (Sales/Marketing) is an added advantage.

Key Responsibilities:

• Assist in planning, scheduling, and executing projects
• Coordinate with internal teams and stakeholders to ensure smooth project flow
• Track project progress and update status reports
• Maintain project documentation, timelines, and records
• Identify risks and escalate issues to the project manager
• Ensure deadlines and quality standards are met
• Organise meetings, prepare agendas, and document minutes
• Monitor resource allocation and utilisation

Required Skills:

• Strong organisational and time management skills
• Excellent communication and interpersonal skills
• Ability to multitask and work under pressure
• Proficiency in MS Office (Excel, Word, PowerPoint)
• Knowledge of project management tools (e.g., Jira, Trello, Asana)
• Problem-solving and analytical thinking

AI Lead (Backend Systems & Architecture)

This is not a feature-delivery role. This is an architecture, ownership, and AI systems leadership role.

At Techjays, we build production-grade AI platforms for global clients. We are looking for an AI Lead with strong backend engineering expertise—someone who can design, scale, and take complete ownership of intelligent systems end-to-end.

You will operate at the intersection of backend engineering, distributed systems, and applied AI, driving both technical direction and execution.

What You’ll Do

• Architect and scale backend systems powering AI-driven applications
• Design and implement AI workflows such as RAG pipelines, agents, and LLM integrations
• Own systems end-to-end: architecture, development, deployment, and scaling
• Build reliable, high-performance distributed systems
• Integrate and optimize LLMs (Claude, GPT, etc.) for real-world use cases
• Lead backend and AI initiatives with strong technical ownership
• Ensure performance, scalability, observability, and cost efficiency
• Mentor engineers and raise the technical bar across teams
• Collaborate with product and AI teams to build AI-native solutions

What We’re Looking For

• Proven experience in architecting and scaling backend systems end-to-end
• Strong expertise in Python (Django / Flask / FastAPI)
• Deep understanding of distributed systems and system design
• Hands-on experience with AWS or GCP in production environments
• Solid experience working with LLMs (Claude, GPT, etc.)
• Strong knowledge of:
• Retrieval-Augmented Generation (RAG)
• Vector databases (Pinecone, FAISS, Weaviate, etc.)
• Experience in building and managing microservices architectures
• Ability to lead teams, mentor engineers, and drive technical excellence
• Strong problem-solving skills with an ownership mindset

Nice to Have

• Experience building AI agents or autonomous systems
• Familiarity with real-time data systems or streaming (Kafka, etc.)
• Understanding of MLOps and AI system lifecycle
• Experience optimizing AI systems for latency, cost, and scalability

Who You Are

• You think in systems, not just features
• You take full ownership of what you build
• You are comfortable in fast-moving, ambiguous environments
• You stay updated with the latest advancements in AI and backend technologies

This role is ideal for someone who wants to lead, build, and scale AI-powered backend systems in production while driving real-world impact.

We are seeking a Delivery-Driven ERP Project Manager to lead and ensure the successful

implementation of ERP solutions across multiple client engagements. The role requires strong expertise in business requirement analysis, ERP implementation life-cycle, sprint planning, and delivery governance to ensure projects are delivered on time, within scope, and aligned with business objectives.

The candidate will act as the single point of accountability between clients, functional

consultants, and development teams.

Key Responsibilities

1. Requirement Structuring & BRD Governance

• Lead detailed requirement discovery workshops with clients
• Convert BRD into structured functional specifications
• Break requirements into clear development tasks and sprint deliverables
• Ensure business expectations are clearly aligned with ERP capabilities.

2. Delivery Planning & Timeline Enforcement

• Create project roadmaps, sprint plans, and milestone schedules
• Ensure development teams adhere to weekly delivery targets
• Track progress through task boards, sprint reviews, and delivery dashboards
• Escalate delays proactively and drive corrective actions.

3. Developer Coordination & Productivity Monitoring

• Assign tasks to developers based on module expertise
• Monitor development progress and ensure coding tasks match functional scope
• Identify bottlenecks, technical blockers, or misalignment early
• Ensure proper documentation of modules, configurations, and customisation.

4. Client Communication & Expectation Management

• Act as primary project interface with clients
• Provide weekly progress updates and milestone reports
• Manage change requests and prevent uncontrolled scope expansion
• Maintain alignment between client expectations and delivery timelines.

5. Testing & Quality Assurance

• Coordinate User Acceptance Testing (UAT)
• Ensure issues raised during UAT are tracked and resolved systematically
• Validate functional correctness before deployment.

6. Deployment & Go-Live Management

• Plan production deployments, data migration, and go-live support
• Ensure smooth transition from implementation to support
• Maintain post-go-live stabilisation plans.

Required Skills

• ERP Implementation
• Strong experience in ERP implementations (Odoo preferred)
• Understanding of business processes across:
• Sales
• Inventory
• Manufacturing
• Finance
• CRM
• Project Delivery
• Sprint planning and milestone tracking
• Risk management
• Resource planning
• Client stakeholder management

Tools Experience with:

• Jira / ClickUp / Asana / Odoo Project
• ERP configuration workflows
• Agile / hybrid delivery models

Ideal Candidate Profile

• Experience managing multiple ERP implementation projects simultaneously
• Ability to control developers, timelines, and scope
• Strong analytical thinking and problem-solving
• Ability to work in a fast-paced implementation environment
• Success Metrics for the Role
• The candidate will be measured based on:
• On-time delivery of ERP milestones
• Reduction in project delays
• Client satisfaction scores
• Quality of documentation and task clarity
• Efficient coordination between business and development teams

Key Responsibilities

1. Patient Care

• Provide basic nursing care to patients at home.
• Monitor and record vital signs such as temperature, pulse, respiration, and blood pressure.
• Assist patients with daily living activities including bathing, feeding, grooming, and mobility.
• Maintain patient hygiene and comfort.

2. Clinical Support

• Assist doctors or registered nurses in basic medical procedures.
• Administer medications as prescribed under supervision.
• Perform basic procedures such as dressing wounds, catheter care, and injections (if permitted).
• Maintain infection control and hygiene protocols.

3. Patient Monitoring

• Observe patient conditions and report any changes to the supervising nurse or doctor.
• Maintain daily patient care records and reports.
• Support rehabilitation and recovery processes.

4. Patient & Family Support

• Educate patients and family members on basic home care and hygiene practices.
• Provide emotional support to patients and caregivers.
• Assist family members in understanding medication schedules and care routines.

5. Compliance & Documentation

• Maintain accurate patient documentation and treatment records.
• Follow hospital/home healthcare policies and clinical protocols.
• Ensure patient confidentiality and ethical practices.

Qualification

• ANM (Auxiliary Nurse Midwife) Certification from a recognized institution.
• Valid nursing registration (if applicable as per state norms).

Experience

• 0–3 years of experience in hospitals, clinics, or home healthcare services preferred.
• Freshers with clinical training may also apply.

Skills Required

• Basic nursing and patient care skills
• Good communication and interpersonal skills
• Ability to work independently in home settings
• Compassion, patience, and empathy
• Basic documentation and reporting skills

Key Responsibilities

1. Patient Care

• Provide basic nursing care to patients at home.
• Monitor and record vital signs such as temperature, pulse, respiration, and blood pressure.
• Assist patients with daily living activities including bathing, feeding, grooming, and mobility.
• Maintain patient hygiene and comfort.

2. Clinical Support

• Assist doctors or registered nurses in basic medical procedures.
• Administer medications as prescribed under supervision.
• Perform basic procedures such as dressing wounds, catheter care, and injections (if permitted).
• Maintain infection control and hygiene protocols.

3. Patient Monitoring

• Observe patient conditions and report any changes to the supervising nurse or doctor.
• Maintain daily patient care records and reports.
• Support rehabilitation and recovery processes.

4. Patient & Family Support

• Educate patients and family members on basic home care and hygiene practices.
• Provide emotional support to patients and caregivers.
• Assist family members in understanding medication schedules and care routines.

5. Compliance & Documentation

• Maintain accurate patient documentation and treatment records.
• Follow hospital/home healthcare policies and clinical protocols.
• Ensure patient confidentiality and ethical practices.

Qualification

• ANM (Auxiliary Nurse Midwife) Certification from a recognized institution.
• Valid nursing registration (if applicable as per state norms).

Experience

• 0–3 years of experience in hospitals, clinics, or home healthcare services preferred.
• Freshers with clinical training may also apply.

Skills Required

• Basic nursing and patient care skills
• Good communication and interpersonal skills
• Ability to work independently in home settings
• Compassion, patience, and empathy
• Basic documentation and reporting skills

Qualification: UG or PG(PA) with Relevant Clinical/Teaching Skills

Location: Coimbatore

Experience: Minimum 1year

An Assistant Professor / Tutor in a Physician Assistant (PA) program works closely with students and faculty to teach clinical medicine, guide practical training, and support research. To succeed in this role, PA educators need a mix of medical knowledge, teaching ability, research skills, and interpersonal abilities. Here are the key skill categories:

🎓 Teaching & Educational Skills

These are the core competencies used in educating PA students.

• Lesson planning and curriculum development
• Clinical case-based teaching
• Practical and laboratory instruction
• Student assessment and evaluation
• Use of modern teaching methods and educational technology

These skills are used when teaching subjects related to specialties such as Internal Medicine, Emergency Medicine, Family Medicine, and Surgery.

🩺 Clinical & Medical Knowledge

PA tutors must have strong clinical understanding to train students effectively.

• Patient assessment and physical examination teaching
• Diagnostic reasoning and interpretation of tests
• Clinical procedure demonstrations
• Pharmacology and treatment protocols
• Supervision during clinical training

🔬 Research & Academic Skills

Academic faculty are expected to contribute to research and scholarship.

• Research methodology knowledge
• Scientific writing and publication
• Data collection and analysis
• Conference presentations and academic collaboration

💬 Communication & Mentoring Skills

Strong interaction with students and colleagues is essential.

• Clear lecturing and presentation skills
• Student mentoring and academic advising
• Providing constructive feedback
• Collaboration with faculty and healthcare teams

Role: ODOO Developer

Exp: 2+ Years

Location : Chennai

Preferred : Chennai Based Candidates

Key Responsibilities

• Develop and customise Odoo modules based on business requirements.
• Design, develop, and maintain ERP applications using the Odoo framework.
• Implement and customise Odoo Manufacturing (MRP) modules including Work Orders, Bills of Materials (BoM), Routings, and Production Planning.
• Integrate third-party applications and APIs using web services.
• Work with the PostgreSQL database for data management, optimisation, and administration.
• Develop Odoo views, reports, and UI components using HTML, CSS, XML.
• Support server deployment, troubleshooting, and performance optimisation of Odoo applications.
• Understand and enhance existing Odoo functionalities and provide technical improvements.
• Collaborate with functional teams to translate business requirements into technical solutions.
• Interact with clients and functional teams to understand requirements and support project delivery.

Required Skills

• 2 years of experience in Odoo (OpenERP) development and customisation.
• Hands-on experience in Odoo Manufacturing (MRP) module implementation and customisation.
• Familiarity with Python web frameworks such as Django or Flask.
• Strong understanding of Object-Orientated Programming (OOP).
• Experience with web services and API integrations.
• Experience with PostgreSQL database management and optimisation.
• Understanding of ORM (Object Relational Mapper) frameworks.
• Knowledge of server deployment and troubleshooting.

Strong SAP EWM Functional Consultant Profile

Mandatory (Experience 1) – Must have 6+ years of strong hands-on experience in SAP EWM (Extended Warehouse Management).

Mandatory (Experience 2) – Must have completed at least 2 end-to-end SAP EWM implementations and minimum 1 rollout project (full lifecycle exposure – Requirement Gathering to Go-Live & Hypercare).

Mandatory (Experience 3) – Strong hands-on experience in Inbound and Outbound warehouse processes, including Goods Receipt, Putaway, Picking, Packing, Staging, and Goods Issue.

Mandatory (Experience 4) – Must have strong process knowledge in O2C (Order-to-Cash), Supply Chain Management, and Warehouse Execution processes.

Mandatory (Experience 5) – Must have hands-on experience in Decentralized EWM and SAP S/4HANA Embedded EWM (Cloud-oriented landscape preferred).

Mandatory (Experience 6) – Strong integration knowledge with SAP SD (Sales & Distribution – Outbound processes) and SAP TM (Transportation Management).

Mandatory (Domain Exposure) – Candidates must have worked in Manufacturing or Supply Chain-driven environments; Automotive industry experience preferred

Job details: Fresher/Experience.

Pay Scale : As per Norms.

Location: Saravanampatti, Coimbatore.

Core Qualifications

• Educational Background: A Bachelor’s and Master’s degree in Computer Science, IT, or a related engineering field.
• Eligibility Exams: Clearing the UGC-NET (National Eligibility Test) or SLET/SET (State Level Eligibility Test) is a standard requirement in India.
• Ph.D. Requirement: A Doctorate is often required for long-term career progression and is mandatory for certain university-level appointments as per UGC norms.

1. Programming and Coding Languages

• Core Languages:
• Python – General-purpose, easy-to-learn, popular for data science, web development, automation, etc.
• JavaScript – Essential for web development (both frontend and backend).
• Java – Widely used in enterprise applications, Android development.
• C/C++ – Great for systems programming, high-performance computing.

Given the qualifications and requirements you've shared (Ph.D. completion and a minimum of 2 years of experience) in the fields of Computer Science and Engineering (CSE), Information Technology (IT), and Electronics and Communication Engineering (ECE), here is a more tailored look at the specific expectations and skills an Associate Professor should bring to a department in such a technical field, along with the contextual setting of your mentioned location, KGiSL Campus in Saravanampatti, Coimbatore.

Eligibility:

• Complete the Master Degree In Relevant Field
• Candidates Clear the Any One Of UGC NET/SET
• Must Have a Ph.D Completion In Related Department

1. Academic Qualifications

• Ph.D. in Relevant Field: Candidates must have a Ph.D. in Computer Science, IT, or a closely related field. The Ph.D. should reflect deep expertise in a specific sub-area of the discipline.
• Publications: A strong record of publications in peer-reviewed journals and conferences, particularly in top-tier venues related to CSE, IT.
• Research Experience: Proven track record of independent and collaborative research projects, including contributions to advancements in areas such as machine learning, AI, data science, cybersecurity, embedded systems, etc.
• Teaching Experience: At least 2 years of experience in teaching and mentoring students, ideally at the university or college level, in courses related to CSE, IT.

2. Technical Skills

• Subject Expertise:
• CSE: Knowledge in areas such as Algorithms, Software Engineering, Data Structures, Cloud Computing, Artificial Intelligence (AI), Machine Learning (ML), Big Data, Database Systems, and Networking.
• IT: Familiarity with Programming Languages (Python, Java, C/C++, etc.), Web Development, Mobile App Development, Cloud Technologies, IT Infrastructure, Cybersecurity, and Network Security.

Job Title: Assistant Professor – Commerce / Computer Science

Organization: KGiSL Educational Institutions.

Job Description:

We are looking for qualified and passionate Assistant Professors for the Commerce and Computer Science departments. Candidates should be committed to teaching, research, and academic development.

Eligibility:

• Master’s Degree in Commerce / Computer Science or relevant discipline with good academic record
• UGC NET / SET qualified candidates preferred
• Freshers with UGC NET / SET can also apply
• Ph.D. candidates will have added advantage

Roles and Responsibilities:

• Deliver lectures and conduct tutorials for undergraduate and postgraduate students
• Prepare lesson plans, course materials, and academic assessments
• Guide students in projects, assignments, and academic activities
• Participate in research, publications, and academic development programs
• Contribute to departmental and institutional activities

Required Skills:

• Subject knowledge
• Communication
• Teaching ability
• Research orientation
• Presentation skills
• Student mentoring

Location: Coimbatore, Tamil Nadu

Strong SAP SD Senior Consultant -Taxation & S/4HANA Profile

Mandatory (Experience 1) – Must have minimum 7+ years of hands-on experience in SAP SD (Sales & Distribution) with SD as core module in previous roles.

Mandatory (Experience 2) – Must have minimm 1 end-to-end SAP implementation with strong hands-on experience in Taxation.

Mandatory (Experience 3) – Must have strong expertise in Pricing and Taxation including Tax Determination Rules, Tax Classifications, GST Tax Conditions (India), and Tax Codes.

Mandatory (Experience 4) – Must have strong functional knowledge of Order-to-Cash (O2C) process including Sales Order, Delivery, Billing, and Integration with FI.

Mandatory (Experience 5) – Must have hands-on experience in S/4HANA (preferably in global rollout or localization projects).

Mandatory (Experience 6) – Must have experience in integrating SAP SD/FI with third-party tax engines such as Vertex, ONESOURCE, or Avalara.

Mandatory (Experience 7) – Must have strong experience in Pricing Procedure configuration including tax routines, reverse calculations, and volume-based taxes.

Mandatory (Experience 8) – Must have hands-on exposure to SAP Document and Reporting Compliance (DRC) for e-invoicing and statutory reporting.

Mandatory (Integration Knowledge) – Must have strong integration experience with FICO (Financial Accounting) and MM (Materials Management).

Mandatory (Tax Domain Knowledge) – Must have deep understanding of Indirect Taxes (GST/VAT), Withholding Tax, and excise-related processes.

Mandatory (Project Exposure) – Must have worked on minimum 2–3 full lifecycle SAP implementations (Blueprint to Go-Live).

Strong SAP QM Functional Consultant Profiles

Mandatory (Experience 1) – Must have 6+ years of total SAP experience with strong hands-on expertise in SAP QM (Quality Management).

Mandatory (Experience 2) – Must have worked as a Business SAP Process Consultant with strong understanding of quality processes integrated within manufacturing environments.

Mandatory (Experience 3) – Must have completed minimum 2 end-to-end SAP QM implementations and rollout experience (full lifecycle exposure including Blueprint, Configuration, Testing, Go-Live, and Hypercare).

Mandatory (Experience 4) – Must have strong integration experience with SAP PP (Production Planning), SAP PM (Plant Maintenance), SAP EWM (Extended Warehouse Management), and SAP FI (Finance).

Mandatory (Experience 5) – Must have strong S/4HANA experience in SAP QM.

Mandatory (Education Background) – Must hold a degree in Mechanical or Electronics Engineering with exposure to Tool Design, Production Planning, or Product Engineering.

Mandatory (Stability Criteria) – Candidate must demonstrate career stability with minimum 2 years tenure in at least one organization (avoid frequent job changes).

Mandatory (Process Knowledge) – Strong functional knowledge of Quality Planning, Quality Inspection (Incoming, In-Process, Final), Quality Notifications, Audit Management, and integration with production and procurement cycles.

Job Title: Deployment Lead (Python, Linux, AWS) 

Location: Coimbatore

Overview 

We are seeking an experienced Deployment Lead to oversee the end-to-end deployment lifecycle of our applications and services. The ideal candidate will have deep expertise in Python, strong Linux administration skills, and hands-on experience with AWS cloud infrastructure. You will work closely with engineering, DevOps, QA, and product teams to ensure reliable, repeatable, and scalable deployments across multiple environments. 

Key Responsibilities 

• Lead and manage deployment activities for all application releases across development, staging, and production environments. 
• Develop and maintain deployment automation, scripts, and tools using Python and shell scripting. 
• Own and optimize CI/CD pipelines (e.g., GitHub Actions, Jenkins, GitLab CI, or AWS CodePipeline). 
• Oversee Linux server administration, including configuration, troubleshooting, performance optimization, and security hardening. 
• Design, implement, and maintain AWS infrastructure (EC2, S3, Lambda, IAM, RDS, ECS/EKS, CloudFormation/Terraform). 
• Ensure robust monitoring, logging, and alerting using tools such as CloudWatch, Grafana, Prometheus, or ELK. 
• Collaborate with developers to improve code readiness for deployment and production reliability. 
• Manage environment configurations and ensure consistency and version control across environments. 
• Lead incident response during production issues; conduct root-cause analysis and implement long-term fixes. 
• Establish and enforce best practices for deployment, configuration management, and operational excellence. 

Required Skills & Qualifications 

• 5+ years of experience in deployment engineering, DevOps, or site reliability engineering roles. 
• Strong proficiency in Python for automation and tooling. 
• Advanced experience with Linux systems administration (Ubuntu, CentOS, Amazon Linux). 
• Hands-on work with AWS cloud services and infrastructure-as-code (CloudFormation or Terraform). 
• Experience with containerization technologies such as Docker and orchestration platforms like ECS, EKS, or Kubernetes. 
• Strong understanding of CI/CD tools and automated deployment strategies. 
• Familiarity with networking concepts: DNS, load balancers, VPCs, firewalls, VPN, and routing. 
• Expertise with monitoring, alerting, and logging solutions. 
• Strong problem-solving and analytical skills; able to lead troubleshooting efforts. 
• Excellent communication and leadership abilities. 

Job Title:

Emergency Care Technologist / Accident & Emergency Care Technologist

Institution:

KGiSL Educational Institutions.

Department:

Allied Health Sciences / Emergency & Trauma Care Services

Job Summary:

We are seeking a skilled and dedicated Emergency Care Technologist to provide immediate and critical care support in emergency and trauma situations. The candidate will assist emergency physicians and healthcare teams in the rapid assessment, stabilization, and management of patients with acute illnesses or injuries. The role includes participation in academic and clinical training activities (if applicable) while ensuring adherence to institutional protocols and emergency care standards.

Minimum Qualification:

• B.Sc. Accident & Emergency Care Technology / B.Sc. Emergency Care Technology
• Minimum 2 years of relevant experience in emergency/trauma care settings
• Valid registration (if applicable as per regulatory norms)
• Certification in BLS / ACLS (preferred)

Key Responsibilities:

• Provide immediate care and stabilization to patients in emergency and trauma situations.
• Assist emergency physicians in clinical assessment, triage, and treatment procedures.
• Perform basic and advanced life support procedures under supervision.
• Assist in airway management, CPR, trauma care, and emergency interventions.
• Monitor vital signs and maintain accurate patient documentation.
• Prepare and maintain emergency equipment and crash carts.
• Coordinate with multidisciplinary healthcare teams for effective patient management.
• Ensure strict adherence to infection control and safety protocols.
• Assist in disaster management drills and emergency preparedness programs.
• Participate in academic demonstrations, simulations, and student training (if required).

Required Skills:

• Strong knowledge of emergency and trauma care protocols.
• Ability to work efficiently in high-pressure environments.
• Quick decision-making and critical thinking skills.
• Good communication and teamwork abilities.
• Proficiency in basic computer applications and electronic medical records.
• Physical and mental stamina to handle emergency situations.

Preferred Attributes:

• Experience in a multi-specialty hospital or Level I/II trauma center.
• Certification in ACLS, PALS, or trauma life support courses.
• Ability to remain calm and composed during emergencies.
• Commitment to continuous professional development and skill enhancement

Job Title: Tutor or Assistant Professor – Physician Assistant

Department: Physician Assistant

Institution Type: KGiSL Educational Institution

Job Summary:

The Assistant Professor – Physician Assistant will be responsible for teaching undergraduate students, conducting practical and clinical training sessions, guiding academic projects, and supporting departmental academic and research activities. The candidate should possess strong theoretical knowledge and hands-on clinical expertise in medical and surgical patient care, diagnostic procedures, and clinical management.

Minimum Qualification:

B.Sc. in Physician Assistant (or equivalent qualification in Physician Assistant)

Minimum 2 years of relevant teaching or clinical experience as a Physician Assistant

Valid professional registration/license (if applicable as per regulatory authority)

Key Responsibilities:

Deliver lectures and conduct practical sessions in Physician Assistant subjects as per curriculum requirements.

Train students in:

• History taking and physical examination
• Clinical documentation and patient assessment
• Interpretation of laboratory investigations and diagnostic reports
• Assisting in minor and major procedures
• Emergency care and basic life support

Supervise students during clinical postings and hospital training.

Prepare lesson plans, teaching materials, and evaluation methods.

Assess student performance through internal assessments, practical examinations, OSCEs, and viva voce.

Maintain academic records, attendance registers, and examination documentation.

Participate in curriculum development and departmental planning activities.

Guide students in academic projects, case presentations, research activities, and clinical case studies.

Ensure adherence to clinical protocols, patient safety standards, and ethical medical practices.

Contribute to seminars, workshops, research publications, and institutional development activities.

Required Skills:

Strong knowledge of clinical medicine, surgical assistance, and patient management.

Proficiency in clinical examination and diagnostic interpretation.

Effective teaching and presentation skills.

Good communication and interpersonal abilities.

Ability to mentor students in clinical and academic settings.

Research aptitude and academic writing skills.

Basic computer proficiency (MS Office and academic software).

Preferred Attributes:

Experience in teaching within an educational institution.

Clinical exposure in multi-specialty hospitals.

Participation in professional development programs and conferences.

Involvement in research publications and academic presentations

Job Title: Tutor or Assistant Professor – Cardiac Technology

Department: Cardiac Technology

Institution Type: KGiSL Educational Institution

Job Summary:

The Tutor or Assistant Professor – Cardiac Technology will be responsible for teaching undergraduate students, conducting practical and clinical training sessions, guiding academic projects, and supporting departmental academic and research activities. The candidate should possess strong theoretical and practical knowledge in cardiac diagnostic and therapeutic procedures.

Minimum Qualification:

B.Sc. in Cardiac Technology (or equivalent qualification in Cardiac Technology)

Minimum 2 years of relevant teaching or clinical experience

Key Responsibilities:

Deliver lectures and conduct practical sessions in cardiac technology subjects as per curriculum requirements.

Train students in ECG, TMT, Echocardiography, cardiac catheterization lab procedures, and other non-invasive and invasive cardiac diagnostic techniques.

Prepare lesson plans, teaching materials, and evaluation methods.

Supervise students during clinical postings and hospital training.

Assess student performance through internal assessments, practical examinations, and viva voce.

Maintain academic records, attendance registers, and examination documentation.

Participate in curriculum development and departmental planning activities.

Guide students in academic projects, case studies, and research activities.

Ensure proper maintenance and safe handling of cardiac diagnostic equipment.

Contribute to seminars, workshops, research publications, and institutional development activities.

Required Skills:

Strong knowledge of cardiovascular anatomy, physiology, and cardiac diagnostic procedures.

Proficiency in handling cardiac diagnostic equipment.

Effective teaching and presentation skills.

Good communication and interpersonal abilities.

Research aptitude and academic writing skills.

Basic computer proficiency (MS Office and academic software).

Preferred Attributes:

Experience in teaching within an educational institution.

Clinical exposure in reputed hospitals or cardiac centers.

Participation in professional development programs and conferences.

Job Title: Tutor or Assistant Professor – Pathology

Department: Pathology

Institution Type: KGiSL Educational Institution.

Job Summary:

The Assistant Professor Or Tutor– Pathology will be responsible for teaching undergraduate students, conducting practical and laboratory sessions, guiding academic activities, and contributing to research and departmental development. The candidate should demonstrate strong subject expertise in pathology along with a commitment to academic excellence and student mentorship.

Minimum Qualification:

• B.Sc. in Pathology (or equivalent qualification in Pathology)
• Minimum 2 years of relevant teaching or laboratory experience

Key Responsibilities:

• Deliver lectures and conduct practical sessions in pathology subjects as per the curriculum.
• Prepare lesson plans, teaching materials, and assessment tools.
• Guide and supervise students during laboratory work and clinical demonstrations.
• Evaluate student performance through assignments, internal assessments, and examinations.
• Maintain academic records, attendance, and examination documentation.
• Participate in curriculum development and departmental meetings.
• Mentor students for academic projects, research activities, and career guidance.
• Ensure proper utilization and maintenance of laboratory facilities and equipment.
• Engage in research, publications, seminars, workshops, and faculty development programs.
• Contribute to institutional activities such as accreditation, admissions, and outreach programs.

Required Skills:

• Strong knowledge of pathology concepts and diagnostic procedures.
• Effective teaching and presentation skills.
• Ability to manage laboratory sessions and ensure safety compliance.
• Good communication and interpersonal skills.
• Research aptitude and academic writing skills.

Preferred Attributes:

• Experience in an educational institution.
• Publications in reputed journals.
• Commitment to continuous learning and professional development.

Position: Assistant Professor

Department: CSE / IT

Experience: 0 – 15 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

ME / M.Tech in Computer Science Engineering / Information Technology

Ph.D. (Preferred but not mandatory)

First Class in UG & PG as per AICTE norms

🔍 Roles & Responsibilities:

Deliver high-quality lectures for UG / PG programs

Prepare lesson plans, course materials, and academic content

Guide student projects and internships

Participate in curriculum development and academic planning

Conduct internal assessments, evaluations, and result analysis

Mentor students for academic and career growth

Participate in departmental research activities

Publish research papers in reputed journals (Scopus/SCI preferred)

Attend Faculty Development Programs (FDPs), workshops, and conferences

Contribute to NAAC / NBA accreditation processes

Support institutional administrative responsibilities

💡 Required Skills:

Strong subject knowledge in CSE / IT domains

Programming proficiency (Python, Java, C++, Data Structures, AI/ML, Cloud, etc.)

Excellent communication and presentation skills

Research orientation and academic enthusiasm

Team collaboration and mentoring ability

📢 Immediate Hiring – Upcoming Academic Year

🏫 KITE (Institution Name Placeholder)

KITE invites applications from passionate academicians for the positions of Assistant Professor and Associate Professor in the Department of Computer Science & Engineering / Information Technology.

1️⃣ Position: Assistant Professor

Department: CSE / IT

Experience: 0 – 15 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

• ME / M.Tech in Computer Science Engineering / Information Technology
• Ph.D. (Preferred but not mandatory)
• First Class in UG & PG as per AICTE norms

🔍 Roles & Responsibilities:

• Deliver high-quality lectures for UG / PG programs
• Prepare lesson plans, course materials, and academic content
• Guide student projects and internships
• Participate in curriculum development and academic planning
• Conduct internal assessments, evaluations, and result analysis
• Mentor students for academic and career growth
• Participate in departmental research activities
• Publish research papers in reputed journals (Scopus/SCI preferred)
• Attend Faculty Development Programs (FDPs), workshops, and conferences
• Contribute to NAAC / NBA accreditation processes
• Support institutional administrative responsibilities

💡 Required Skills:

• Strong subject knowledge in CSE / IT domains
• Programming proficiency (Python, Java, C++, Data Structures, AI/ML, Cloud, etc.)
• Excellent communication and presentation skills
• Research orientation and academic enthusiasm
• Team collaboration and mentoring ability

2️⃣ Position: Associate Professor

Department: CSE / IT

Experience: 8 – 20 Years

Joining: Immediate / Within 1 Month

Salary: As per norms and experience

🎓 Qualification:

• Ph.D. in CSE / IT (Mandatory)
• Minimum 2 years completion as Assistant Professor (as per norms)
• Minimum 3 years of relevant experience eligible for Associate Professor cadre
• Strong research and publication record

🔍 Roles & Responsibilities:

• Deliver advanced-level lectures for UG / PG courses
• Lead curriculum design and academic innovation
• Supervise Ph.D., PG, and UG research projects
• Publish high-impact research papers (Scopus / SCI / UGC Care)
• Apply for research grants and funded projects
• Guide faculty members and mentor junior staff
• Head academic committees / lead accreditation processes
• Industry collaboration and consultancy initiatives
• Organize conferences, seminars, workshops, and FDPs
• Contribute to institutional ranking and research visibility

💡 Required Skills:

• Strong research profile with indexed publications
• Leadership and academic administration capability
• Experience in accreditation (NAAC / NBA)
• Industry collaboration exposure
• Excellent academic record and subject expertise

🌟 Preferred Candidate Profile (For Both Roles):

• Passion for teaching and research
• Student-centric approach
• Exposure to Outcome-Based Education (OBE)
• Knowledge of emerging technologies (AI/ML, Data Science, Cybersecurity, Cloud Computing, IoT)
• Strong interpersonal and organizational skills

📌 Why Join KITE?

• Academic excellence-driven environment
• Research-focused culture
• Opportunities for funded projects & consultancy
• Career growth and leadership opportunities
• Competitive salary as per institutional norms

📧 Application Process:

Interested candidates who can join within one month are encouraged to apply immediately for the upcoming academic year.

The Accounts Executive is responsible for managing day-to-day accounting activities, maintaining accurate financial records, and supporting financial reporting. The role ensures compliance with accounting standards, statutory requirements, and internal policies.

Key Responsibilities

• Maintain books of accounts including vouchers, invoices, bills, and receipts
• Handle accounts payable and accounts receivable
• Prepare journal entries, ledgers, and monthly reconciliations
• Assist in preparation of monthly, quarterly, and annual financial reports
• Process GST returns, TDS calculations, and statutory compliance
• Coordinate with auditors during internal and external audits
• Manage bank reconciliation statements and cash flow tracking
• Ensure timely payment to vendors and follow-up on receivables
• Support budgeting and expense control activities
• Maintain proper documentation and filing of financial records

NOTE : only female candidates

Candidates in and around kovilpalayam are preferred.

The HR Executive is responsible for handling recruitment, employee coordination, documentation, and daily HR activities to support smooth workforce management and company operations.

Key Responsibilities:

• Handle end-to-end recruitment (sourcing, screening, scheduling interviews)
• Coordinate with candidates and clients regarding job requirements
• Maintain employee records, attendance, and documentation
• Prepare offer letters and onboarding formalities
• Follow up with selected candidates for joining
• Maintain HR reports and recruitment trackers
• Support payroll inputs and leave management
• Handle employee queries and basic HR operations
• Ensure proper communication between management and staff

Only female candidates

and Coimbatore candidates

APPLY IF YOU ARE EXPERIENCE IN COMMERCIAL REAL ESTATE BUSINESS

Responsible for identifying new business opportunities, building client relationships, and increasing company revenue. The role focuses on lead generation, client acquisition, and expanding the company’s market presence.

Key Responsibilities:

• Identify and develop new business opportunities through calls, meetings, and networking
• Generate leads and convert them into long-term clients
• Meet potential clients to present company services or products
• Maintain strong relationships with existing customers
• Achieve monthly and quarterly sales targets
• Prepare proposals, quotations, and business presentations
• Conduct market research and analyze competitor activities
• Coordinate with internal teams for successful service delivery
• Maintain sales reports, pipeline data, and CRM updates

NOTE

ONLY COIMBATORE CANDIDATES.

The Center Manager is responsible for overseeing the overall operations, staff management, and performance of the center. The role ensures smooth day-to-day functioning, achievement of business targets, high customer satisfaction, and compliance with company policies.

Key Responsibilities:

• Manage daily operations of the center and ensure smooth workflow
• Supervise and guide staff, including admin, telecallers, and support teams
• Monitor performance, targets, and productivity of the center
• Handle customer inquiries, escalations, and issue resolution
• Coordinate with head office for reporting and updates
• Maintain records, reports, and center documentation
• Ensure proper maintenance of infrastructure, equipment, and facilities
• Plan and implement strategies to improve admissions, sales, or service delivery
• Conduct team meetings and provide training or motivation to staff
• Ensure compliance with company policies and quality standards

NOTE

(Preferably Femal)

ONLY COIMBATORE CANDIDATES.

The Telecaller Executive is responsible for making outbound and handling inbound calls to potential or existing customers to generate leads, provide information about products or services, and support business growth. The role focuses on building customer relationships and achieving calling targets.

Key Responsibilities:

• Make outbound calls to potential customers from provided data
• Handle incoming calls and respond to customer inquiries
• Explain company products, services, and offers clearly
• Generate and qualify leads, and schedule appointments if required
• Maintain call records and update customer details in the system
• Follow up with customers for feedback or conversions
• Achieve daily/weekly call and performance targets
• Handle customer objections politely and professionally
• Coordinate with the sales or operations team when needed

Languages known:

Tamil / English, Malayalam/Hindi

NOTE:

ONLY CANDIDATES FROM COIMBATORE

FEMALES PREFERRED.

The Office Administrator is responsible for handling daily administrative and office support activities to ensure smooth business operations. This role involves managing records, coordinating communication, and supporting different departments.

Key Responsibilities:

• Manage day-to-day office operations
• Maintain files, records, and documents (hard copy & digital)
• Handle incoming calls, emails, and visitors
• Prepare reports, letters, and official documents
• Maintain attendance, leave records, and employee details
• Coordinate meetings, schedules, and appointments
• Monitor office supplies and place orders when needed
• Coordinate with vendors and service providers
• Ensure office cleanliness and proper functioning

NOTE:

CANDIDATES ONLY FROM COIMBATORE.

Job Description: Communication Trainer (Full-time– Offline)

Organisation: KGiSL MicroCollege, Coimbatore

Mode: Offline

Engagement Type: Full-time

Job Overview

KGiSL MicroCollege is seeking a skilled and dynamic Communication Trainer to deliver offline training sessions at KGiSL Coimbatore. The trainer will be responsible for enhancing students’ verbal, non-verbal, and professional communication skills, preparing them for academic and corporate environments.

Key Responsibilities

Deliver engaging sessions on spoken English, interpersonal communication, and professional etiquette

Improve students’ listening, speaking, presentation, and confidence-building skills

Conduct interactive activities such as role plays, group discussions, debates, and mock interviews

Customise training content based on student skill levels

Track student progress and provide constructive feedback

Maintain attendance and basic session reports

Required Skills & Qualifications

Proven experience as a Communication / Soft Skills / English Trainer

Strong command of English with excellent verbal and written communication skills

Ability to engage and motivate college-level students

Experience in offline classroom training preferred

Certification in communication, English, or soft skills training is an added advantage

The Design Engineer is responsible for planning, developing, and improving product designs by converting concepts and requirements into detailed engineering drawings and specifications. The role involves collaboration with production, quality, and project teams to ensure designs are functional, cost-effective, and manufacturable.

Key Responsibilities:

• Create 2D and 3D designs using CAD software such as AutoCAD, SolidWorks, CATIA, or Creo
• Prepare detailed drawings, BOMs, and technical documentation
• Analyze design feasibility, materials, tolerances, and manufacturing methods
• Coordinate with production, quality, and vendors to resolve design-related issues
• Modify existing designs to improve performance, quality, or cost
• Ensure compliance with industry standards and customer specifications
• Support prototyping, testing, and validation activities
• Participate in design reviews and continuous improvement initiatives

The VTL / CNC / VMC / HMC Operator is responsible for operating and maintaining machine tools to produce precision components as per drawings and specifications. The role includes machine setup, tool handling, quality checks, and ensuring production targets are met while following safety and quality standards.

Key Responsibilities:

• Operate VTL, CNC, VMC, and HMC machines for machining operations
• Set up machines, load programs, and select appropriate tools
• Read and interpret engineering drawings and work instructions
• Monitor machining processes and make minor adjustments as required
• Perform dimensional inspection using vernier calipers, micrometers, and gauges
• Maintain production records and inspection reports
• Identify machine issues, tool wear, or defects and report to supervisors
• Ensure adherence to safety, quality, and housekeeping standards (5S)
• Support continuous improvement and productivity initiatives

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

Conduct offline training sessions on Cloud and DevOps topics.

Prepare and share training materials, assignments, and case studies.

Guide students through hands-on activities and real-world marketing projects.

Assess student performance and provide constructive feedback.

Ensure engaging, interactive, and practical classroom sessions.

Conduct offline training sessions on Digital Marketing topics.

Prepare and share training materials, assignments, and case studies.

Guide students through hands-on activities and real-world marketing projects.

Assess student performance and provide constructive feedback.

Ensure engaging, interactive, and practical classroom sessions.

Conduct offline training sessions on JAVA topics.

Prepare and share training materials, assignments, and case studies.

Guide students through hands-on activities and real-world marketing projects.

Assess student performance and provide constructive feedback.

Ensure engaging, interactive, and practical classroom sessions.