11+ SRM Jobs in Coimbatore | SRM Job openings in Coimbatore

Experience:2+ Years

We are seeking a dynamic and experienced Digital Marketing Executive to join our team. The ideal candidate should possess a proven track record of acquiring leads through various digital channels, including Facebook, LinkedIn, YouTube, and Google. Additionally, the candidate should have expertise in promoting Business Software products such as ERP, CRM, Mobile Apps, BI Tools, etc. through targeted marketing strategies.

Roles & Responsibilities:

Lead Generation: Develop and execute digital marketing campaigns to generate high-quality leads through Facebook, LinkedIn, Google, and other relevant platforms.

Business Software Promotion: Plan and implement result-driven marketing strategies to promote our range of Business Software products to a targeted audience.

Social Media Management: Manage and create engaging content for our social media platforms to enhance brand presence and drive user engagement.Paid Advertising: Optimize paid advertising campaigns to maximize lead generation and brand awareness.

Email Marketing: Utilize Mailchimp and other email marketing tools to design and execute effective email campaigns to nurture leads and engage existing customers.

Brand Campaigns: Conceptualize and execute brand campaigns on social media and other channels to enhance brand visibility and recognition.

Analytics and Reporting: Monitor and analyze the performance of digital marketing campaigns using various analytical tools and provide insights for continuous improvement.

SEO and Content Marketing: Collaborate with the content team to optimize website content for SEO and strategize content marketing initiatives.

Market Research: Stay up-to-date with industry trends, competitor activities, and customer preferences to refine marketing strategies.

Requirements:

Proven Experience: Minimum of 2 years of successful experience in digital marketing with a focus on lead generation and brand promotion.

Software Marketing: Strong knowledge and experience in promoting Business Software products such as Odoo, ERP, CRM, Mobile Apps, BI Tools, etc.Social Media Expertise: Proficiency in managing and conducting brand campaigns across various social media platforms.

Lead Generation: Demonstrated ability to generate quality leads through Facebook, LinkedIn, Google, Youtube and other digital channels.

Email Marketing: Experience in executing effective email marketing campaigns using Mailchimp or similar tools.

Analytical Skills: Proficient in analyzing campaign performance data and translating it into actionable insights.

Creativity and Innovation: A creative mindset with the ability to develop unique marketing strategies.

Excellent Communication: Strong written and verbal communication skills to create compelling content and interact with the target audience.

Preferred Qualification:

Bachelor's Degree in Marketing

Bachelor's Degree in Business or Business Administration

Bachelor's Degree in Communication

Bachelor's Degree in Digital Media

Bachelor's Degree in Information Technology or Computer Science

Bachelor's Degree in Public Relations or Journalism

Bachelor's Degree in Graphic Design or Multimedia Arts

Bachelor's Degree in E-commerce or Digital Business

The Assistant Professor in CSE will teach undergraduate and graduate courses, conduct independent and collaborative research, mentor students, and contribute to departmental and institutional service.

College Profile: 

The main objective of KGiSL Institute of Technology is to

provide industry embedded education and to mold the students for leadership in

industry, government, and educational institutions; to advance the knowledge

base of the engineering professions; and to influence the future directions of

engineering education and practice. The ability to connect to the future

challenges and deliver industry-ready human resources is a credibility that

KGISL Educational Institutions have progressively excelled at. Industry -

readiness of its students is what will eventually elevate an institution to star

status and its competitiveness in the job market. Choice of such an institution

will depend on its proximity to industry, the relevance of its learning

programme to real-time industry and the active connect that a student will have

with industry professionals.

Job Title: HOD

Departments: Cybersecurity

Qualification: Ph.D., ME/M.Tech, B.E/B.Tech

Experience: 10-15 years

Preferred: Immediate Joiner

Candidate Profile:

Candidate should have completed their Ph.D., PG and UG in the relevant discipline

Candidate should have Good Communication Skills

Commitment towards work

Strong Technical Knowledge

Candidate should possess 60% and above in their UG and PG course.

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.

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.

We are looking for an experienced Cloud & DevOps Engineer to join our growing team. The ideal candidate should have hands-on expertise in cloud platforms, automation, CI/CD, and container orchestration. You will be responsible for building scalable and secure infrastructure, optimizing deployments, and ensuring system reliability in a fast-paced environment.

Responsibilities

• Design, deploy, and manage applications on AWS / GCP.
• Build and maintain CI/CD pipelines using Jenkins, GitHub Actions, or GitLab CI/CD.
• Manage containerized workloads with Docker & Kubernetes.
• Implement Infrastructure as Code (IaC) using Terraform.
• Automate infrastructure and operational tasks using Python/Shell scripts.
• Set up monitoring & logging (Prometheus, Grafana, CloudWatch, ELK).
• Ensure security, scalability, and high availability of systems.
• Collaborate with development and QA teams in an Agile/DevOps environment.

Required Skills

• AWS, GCP (cloud platforms)
• Terraform (IaC)
• Docker, Kubernetes (containers & orchestration)
• Python, Bash (scripting & automation)
• CI/CD tools (Jenkins, GitHub Actions, GitLab CI/CD)
• Monitoring & Logging (Prometheus, Grafana, CloudWatch)
• Strong Linux/Unix administration

Preferred Skills (Good to Have)

• Cloud certifications (AWS, Azure, or GCP).
• Knowledge of serverless computing (AWS Lambda, Cloud Run).
• Experience with DevSecOps and cloud security practices.

• Candidate should complete their PG in relevant discipline
• candidate should have good communication skills
• commitment towards work

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

Job Description:



We are seeking a talented and experienced B2B SaaS SEO Content Writer to join our team. In this role, you will play a critical part in creating engaging and high-quality content for our SaaS (Software as a Service) business, targeting a B2B audience. Your primary focus will be on creating content that is optimized for search engines and designed to attract and engage potential customers.

Responsibilities:

• Produce well-researched, informative, and engaging content that aligns with our B2B SaaS industry, including blog posts, articles, whitepapers, case studies, and website content.
• SEO Optimization: Conduct keyword research to identify relevant search terms and phrases, and incorporate them into your content to maximize organic visibility.
• Collaborate with the marketing team to develop content strategies that align with business goals and industry trends.
• Promote your content through various channels, including social media, email marketing, and other online platforms, to increase reach and engagement.
• Create content that speaks directly to our target audience, addressing their pain points and providing valuable solutions.
• Stay current with SEO and content marketing best practices, industry trends, and competitors' strategies to continually improve our content efforts.

Qualifications:

• Experience/ knowledge in B2B SaaS content writing with a focus on SEO optimization.
• Exceptional writing and editing skills, crafting engaging and informative content.
• A strong understanding of SEO principles, keyword research, and on-page optimization.
• Familiarity with B2B SaaS and authoritative writing on related topics.
• Strong research skills to gather data, statistics, and insights to support your content.
• Track record producing content driving organic traffic, engagement, and conversion.
• Collaborative skills, meeting deadlines in a fast-paced, cross-functional setting.
• Proficiency with SEO and content marketing tools (SEMrush, Ahrefs, Google Analytics).

A portfolio of previous work showcasing your B2B SaaS and SEO content writing skills.

We are looking for an experienced and result-driven Digital Marketing Executive to join our awesome marketing team! As a Digital Marketing Executive at our company, you will be responsible for setting up, implementing and managing the overall company's digital marketing strategy.

Digital marketing strategies are extremely important for our company's success, so your role will play a crucial role in achieving our business goals and objectives.

We are expecting you to have experience and a big passion for digital technologies and all digital marketing channels.

Digital Marketing Executive duties and responsibilities

• Build, plan and implement the overall digital marketing strategy
• Manage the strategy
• Manage and train the rest of the team
• Stay up to date with the latest technology and best practices
• Manage all digital marketing channels
• Measure ROI and KPIs
• Prepare and manage a digital marketing budget
• Oversee all the company's social media accounts
• Manage and improve online content, considering SEO and Google Analytics
• Build an inbound marketing plan
• Forecast sales performance trends
• Motivate the digital marketing team to achieve goals
• Monitor competition and provide suggestions for improvement

Digital Marketing Executive requirements

• 2 years of experience as a Digital Marketing Executive
• 2 years of experience in developing and implementing digital marketing strategies
• Good knowledge of all different digital marketing channels
• Should have experience and very well knowledge in In -organic campaigns and in paid promotions.
• Good knowledge and experience with online marketing tools and best practices
• 2 years of hands-on experience with SEO/SEM, Google Analytics and CRM software
• Familiarity with web design
• Sense of ownership and pride in your performance and its impact on a company’s success
• Critical thinking and problem-solving skills
• Team player
• Good time-management skills
• Great interpersonal and communication skills
• BSc degree in Marketing, Digital technologies or relevant field

• Developing and maintaining all server-side network components.
• Ensuring optimal performance of the central database and responsiveness to front-end requests.
• Collaborating with front-end developers on the integration of elements.
• Designing customer-facing UI and back-end services for various business processes.
• Developing high-performance applications by writing testable, reusable, and efficient code.
• Implementing effective security protocols, data protection measures, and storage solutions.
• Running diagnostic tests, repairing defects, and providing technical support.
• Documenting Node.js processes, including database schemas, as well as preparing reports.
• Recommending and implementing improvements to processes and technologies.
• Keeping informed of advancements in the field of Node.js development.