11+ IT security Jobs in Coimbatore | IT security Job openings in Coimbatore

A Desktop Support Engineer is responsible for providing technical support for computer hardware and software issues in an organization's desktop environment. The role involves assisting employees with troubleshooting, maintaining, and resolving issues related to their desktops, laptops, and peripherals.

Job Summary:

1. Hardware Support:

• Install, configure, and maintain desktops, laptops, and peripherals (printers, monitors, etc.).
• Perform hardware repairs and upgrades.

1. Software Support:

• Troubleshoot and resolve software-related issues, including OS installations, software updates, and application support.
• Ensure proper functioning of office productivity software (MS Office, etc.) and enterprise applications.

1. Network Support:

• Provide assistance in connecting workstations to the company network and resolving connectivity issues.
• Troubleshoot network-related issues on desktops and laptops.

1. User Support:

• Assist employees with troubleshooting technical problems, including login issues, system crashes, and application errors.
• Offer guidance on proper system usage and IT best practices.

1. System Maintenance:

• Regularly update and patch desktop systems to ensure security and functionality.
• Backup important files and data as per company policy.

1. Documentation:

• Maintain logs of issues, solutions, and configurations for future reference.
• Document common problems and resolutions for knowledge-sharing purposes.

1. Customer Service:

• Provide excellent customer service and maintain a professional demeanor when dealing with users' technical issues.

Key Skills:

• Technical Knowledge: Proficient in desktop operating systems (Windows, Mac OS, Linux) and office software.
• Problem-Solving: Ability to diagnose and resolve technical issues efficiently.
• Communication: Strong verbal and written communication skills to interact with end-users.
• Networking Basics: Understanding of network configurations and troubleshooting.
• Time Management: Capable of handling multiple requests and prioritizing tasks.

Job Title: Full stack Developer

Location: Coimbatore

Job Type: Full Time

Experience Level: 5-8 Years

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.

Are you a motivated individual eager to launch your career in generative AI and learn advanced technologies? Are you a hands-on learner with an interest in large language models and emerging AI technologies? Do you possess the ability to collaborate effectively within a team environment to implement and learn technical solutions?

At Aivar, we're looking for entry-level architects and engineers to learn generative AI techniques and contribute to building innovative solutions under the guidance of experienced professionals.

As an Generative AI/ML Engineer, you'll learn from technology and business teams while developing solutions. You will gain hands-on experience in a fast-paced environment that contributes to innovative AI projects.

Key job responsibilities:

● Learn to implement large language model solutions using Amazon Web Services (AWS)

● Learn Generative AI frameworks (LangChain, LangSmith, HuggingFace)

● Support prompt engineering implementation

● Assist in fine-tuning pipelines for specific use cases

● Learn to build basic generative AI solutions for text and images

● Help implement RAG architectures

● Support MLOps/LLMOps practices

● Document implementations and learnings

● Assist in testing generative AI solutions

Fabrication and Sheet metal Knowledge Preferred

2 to 4 years Experiences Candidates Preferred

• Determine what quality standards are and establish detailed guidelines about what to check
• Create blueprints and documentation for quality assurance
• checking
• Oversee the quality standards of the organisation's engineering and manufacturing processes
• Develop, implement, audit and update quality standards and quality control systems
• Investigate production and product issues and consider corrective measures to make improvements
• Perform regular quality check tests for the early identification of any potential issues
• Prepare detailed reports of malfunctioning equipment and defective product raw materials
• Write detailed reports on the corrective actions to take to fix technical issues and production cycle issues
• Ensure compliance with quality specifications by the inspection and testing of materials, equipment, processes and products at different stages
• Collaborate with suppliers, managers and other personnel to meet organisational quality standards
• Coordinate with the organisation's internal teams to improve product quality and meet customer requirements
• Work in coordination with external technicians and quality assurance auditors
• Review customer feedback and implement changes to improve products to increase customer satisfaction
• and build brand loyalty
• Stay updated about safety and legal standards and regulations for manufacturing processes and manufactured products
• Monitor and analyse production efforts to optimise them and reduce operational expenses
• Gather relevant data to prepare detailed quality standard reports and submit them to the senior management

Soft Skills Trainer — Key Responsibilities

• Assess training needs and identify areas for development.
• Design and develop interactive training materials (presentations, handouts, self-assessments).
• Deliver engaging workshops and training sessions (in-person or virtual).
• Provide one-on-one coaching and constructive feedback.
• Track trainee progress and evaluate program effectiveness.
• Collaborate with stakeholders to align training with organizational goals.
• Stay current with industry trends and adapt training accordingly.

Required Qualifications & Competencies

• Bachelor’s degree in fields like Human Resources, Education, Psychology, or a related discipline.
• Proven experience in training delivery or facilitation.
• Strong communication, public speaking, and presentation skills.
• Excellent interpersonal skills—empathy, active listening, and motivational coaching.
• Organizational strength: adept at planning, time management, and performance tracking.
• Familiarity with instructional design or training methodologies is a plus.
• Tech-savviness, including comfort with presentation tools and learning platforms.

• Conduct lectures, labs, and tutorials for undergraduate and postgraduate courses in Computer Science & Engineering (e.g., Data Structures, Algorithms, AI, ML, OS, DBMS).
• Prepare course materials, assessments, and syllabi in line with university guidelines.
• Mentor students on academic and project-related work.
• Use innovative teaching methods including online tools, coding platforms, or industry-based case studies.

Job Description:

1.Be a hands on problem solver with consultative approach, who can apply Machine Learning & Deep Learning algorithms to solve business challenges

a. Use the knowledge of wide variety of AI/ML techniques and algorithms to find what combinations of these techniques can best solve the problem

b. Improve Model accuracy to deliver greater business impact

c.Estimate business impact due to deployment of model

2.Work with the domain/customer teams to understand business context , data dictionaries and apply relevant Deep Learning solution for the given business challenge

3.Working with tools and scripts for sufficiently pre-processing the data & feature engineering for model development – Python / R / SQL / Cloud data pipelines

4.Design , develop & deploy Deep learning models using Tensorflow / Pytorch 

5.Experience in using Deep learning models with text, speech, image and video data

a.Design & Develop NLP models for Text Classification, Custom Entity Recognition, Relationship extraction, Text Summarization, Topic Modeling, Reasoning over Knowledge Graphs, Semantic Search using NLP tools like Spacy and opensource Tensorflow, Pytorch, etc

b.Design and develop Image recognition & video analysis models using Deep learning algorithms and open source tools like OpenCV

c.Knowledge of State of the art Deep learning algorithms

6.Optimize and tune Deep Learnings model for best possible accuracy

7.Use visualization tools/modules to be able to explore and analyze outcomes & for Model validation eg: using Power BI / Tableau

8.Work with application teams, in deploying models on cloud as a service or on-prem

a.Deployment of models in Test / Control framework for tracking

b.Build CI/CD pipelines for ML model deployment

9.Integrating AI&ML models with other applications using REST APIs and other connector technologies

10.Constantly upskill and update with the latest techniques and best practices. Write white papers and create demonstrable assets to summarize the AIML work and its impact.

· Technology/Subject Matter Expertise

• Sufficient expertise in machine learning, mathematical and statistical sciences
• Use of versioning & Collaborative tools like Git / Github
• Good understanding of landscape of AI solutions – cloud, GPU based compute, data security and privacy, API gateways, microservices based architecture, big data ingestion, storage and processing, CUDA Programming
• Develop prototype level ideas into a solution that can scale to industrial grade strength
• Ability to quantify & estimate the impact of ML models.

· Softskills Profile

• Curiosity to think in fresh and unique ways with the intent of breaking new ground.
• Must have the ability to share, explain and “sell” their thoughts, processes, ideas and opinions, even outside their own span of control
• Ability to think ahead, and anticipate the needs for solving the problem will be important

·        Ability to communicate key messages effectively, and articulate strong opinions in large forums

· Desirable Experience:

• Keen contributor to open source communities, and communities like Kaggle
• Ability to process Huge amount of Data using Pyspark/Hadoop
• Development & Application of Reinforcement Learning
• Knowledge of Optimization/Genetic Algorithms
• Operationalizing Deep learning model for a customer and understanding nuances of scaling such models in real scenarios
• Optimize and tune deep learning model for best possible accuracy
• Understanding of stream data processing, RPA, edge computing, AR/VR etc
• Appreciation of digital ethics, data privacy will be important
• Experience of working with AI & Cognitive services platforms like Azure ML, IBM Watson, AWS Sagemaker, Google Cloud will all be a big plus
• Experience in platforms like Data robot, Cognitive scale, H2O.AI etc will all be a big plus

•  Work experience as a Java Developer.
•  Experience designing, building and testing Java EE applications.
•  In-depth knowledge of popular Java frameworks like JSF and Spring MVC.
•  Very good understanding of design patterns Hands on experience on ORM framework
•  Design and develop reusable libraries and APIs.
•  Experience with Object-Oriented Design (OOD).
•  Experience on handling exceptions Experience on handling transaction
•  Excellent knowledge of Relational Databases, SQL and ORM technologies ( JPA2, Hibernate)

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.

WHAT WE'RE LOOKING FOR

•  Bachelors or masters in software engineering, Computer Science or other relevant disciplines
•  2+ years experience as a Back-End or Full Stack Developer with hands-on experience working with Python web application development
•  Strong Knowledge in Python v3.x Language
•  Experience in REST APIs with JSON
•  Error handling and Logging 
•  Any DB knowledge 
•  Knowledge on Sumo Logic log aggregation is a plus
• Must know how to produce high quality, “Clean” code that is performant, maintainable and secure