Job Title Graphic Designer Department Marketing Division Online & Digital Reports to Global Head of Marketing Employment Type Full Time Location Kochi, Kerala Share your updated cv to athira.kanchana@linnk.com Were looking for a creative and driven Graphic Designer to be the backbone of our visual storytelling. You’ll be the key enabler in bringing our brand to life. Transforming ideas into stunning designs for blogs, thought leadership pieces, brand docs, emailers, flyers, videos, and more; your skills & expertise would be turbocharged with the use of AI-tools & software! If you’re quick, collaborative, and passionate about creating visuals that inspire, this role is for you. Experience 2 to 4 years of relevant experience in graphic design, social media creatives, and visual storytelling. Employment Type: Full-time Key Responsibilities Graphic Design & Visual Storytelling Design assets for blogs, thought leadership content, emailers, brand documents, flyers, and videos Work with the team to ensure visuals align with brand identity and messaging Adapt designs for different digital platforms, including social media, email, and presentations AI-enabled Graphic Designing Leveraging AI-based design tools & software to produce high-quality multimedia at scale & rapid pace Ability to leverage, edit and refine AI-generated designs to ensure they meet our brand's quality and style standards Social Media & Campaign Support Create engaging and high-quality visuals for social media (static posts, carousels, GIFs, and short videos) Collaborate with the team on campaign planning while leading the execution of visual assets Ensure consistency in branding across all social media and marketing touchpoints Presentations & Marketing Collateral Design PowerPoint presentations for internal and external communication Develop visually compelling brand and sales materials to enhance storytelling Video Editing & Motion Graphics (Preferred but not mandatory) Edit short-form videos for social media and marketing campaigns Create basic animations to enhance engagement in videos and presentations Skills & Qualifications Must-Have: Experience in Graphic Design & Social Media – Portfolio showcasing your work Proficiency in Canva & other design software – Adobe Photoshop, Adobe Illustrator, or similar tools Design high-quality visual content using AI-powered design tools PowerPoint Expertise – Ability to create clean, professional, and visually engaging presentations Basic Video Editing Skills – Experience with tools like Premiere Pro, CapCut, or Canva for video editing Team Player – Ability to collaborate while managing multiple projects efficiently Nice-to-Have: Photography & Web Design Skills – Basic knowledge of photography, website layouts, and UI/UX principles Figma Knowledge – Familiarity with Figma for design collaboration and prototyping Who We’re Looking For Someone who can think in stories and translate them into visuals A designer who thrives in a fast-paced environment with multiple projects A creative mind who understands branding and visual hierarchy An individual who’s eager to learn, take ownership, and grow with the team
Job Title: HR Executive Location: Kasaragod ,Kerala ( Relocation to Kasaragod is a must) Job Summary: HR Assistant plays a crucial role in the day-to-day operations of the HR department, contributing to various HR functions to ensure the smooth functioning of human resources processes within the organization. Experience: 2+ years experience in an HR Genralist role or Administrator role. Qualifications: MBA in HR Responsibilities: Recruitment & Selection Prepare and posts job advertisements, screens applications, arranges interviews, participates in the selection process, maintains a spreadsheet tracking applicants and administers pre-employments tests as required. Employee Relations Taking a lead whilst advising and supporting managers on all Employee Relations issues, including performance management; sickness & absence; disciplinary & grievance procedures. Ensuring the grievance and disciplinary procedures are adhered to by all staff. Monitoring, updating and advising staff and managers on HR policies and procedures, ensuring they are adhered to and effectively communicated. To monitor staff turnover and ensuring that exit interviews are carried out, analysing and reporting on findings. Learning & Development Working closely with senior team to develop staff skills including highlighting needs and recommendations made through the staff appraisal process. Support the business with identifying and creating development plans for individuals. Ensure appropriate learning tools are available for all staff All other HR /Admin related duties. Key Competencies (Skills): Excellent up to date knowledge of local employment law and legislation. Extensive knowledge of policies and procedures related to an HR Function. Strong competency interviewing and selection skills. Up to date knowledge or recruitment, staff retention methods. Experience in advising and managing grievance and disciplinary investigations. Previous background within a generalist HR Function ideally within an international organisation Experience in managing an HR Team. Strong written skills with proven ability to draft policies, procedures and reports. Good coaching & mentoring skills. Delivery focused with the ability to prioritise and organise workload agreed within deadlines. Ability to resolve conflict situations and heavy workloads. Strong customer focus. Excellent active-listening skills. A proactive and can-do approach towards work tasks. Excellent presentation skills both formally and informally. Numerate and financially aware with the ability to produce reports and statistics as required. Open communication style, with ability to communicate at all levels in an organisation. Please share your updated cv to athira.kanchana@linnk.com
Greeting from Linnk Group Title: AI Lead - Generative AI & Deployment Location: Infopark, Kochi, Kerala Employment Type: Permanent About Us: Linnk Group is a global STEM recruitment and technology consultancy with established entities in the UAE, KSA, Qatar, India, and the UK. We are building AI-first platforms that power intelligent automation across recruitment, sales, and workforce management. Our technology stack includes LLM-based applications, RAG pipelines, CV parsing engines, chatbots, and agentic AI workflows integrated with cloud-native infrastructure. We are looking for a hands-on and experienced Lead AI/ML Engineer to architect, build, and scale our GenAI systems across products. This is a foundational role that will help define the technical direction and lead the implementation of production-grade AI components. Strong proficiency in deep learning and machine learning architectures, including ResNets, AlexNet, DenseNets, RCNNs, Vision Transformers (ViT) , Diffusion Models , and GANs In-depth understanding of Transformers and modern LLM architectures (e.g., LLaMA , Mistral , Qwen , GPT , Claude , BERT ), with a focus on NLP and generative AI . Familiarity with legacy models like RNNs and LSTMs is a plus. Expertise in Machine Learning (ML) and Natural Language Processing (NLP) frameworks such as PyTorch, Tensorflow, Hugging Face Transformers, LangChain . Proven experience designing recommendation systems and LLM-based applications , including RAG pipelines , structured generation, and retrieval systems. Skilled in model performance optimization , including quantization, pruning, latency reduction, and memory-efficient inference. Advanced knowledge of embeddings and vector search using tools like FAISS, Milvus, Pinecone, and Quadrant . Hands-on experience with CI/CD pipelines for ML/LLM workflows (e.g., GitHub Actions, Jenkins). In-depth understanding of MLOps and LLMOps practices including model versioning, deployment automation, drift detection, and continuous monitoring. Familiarity with automated evaluation frameworks. Skilled in Docker, Kubernetes , and building scalable microservices. Demonstrated experience deploying and maintaining ML systems on AWS , including SageMaker, EC2, EKS, RDS, and S3 . Ability to optimize and scale LLM inference endpoints , and orchestrate multi-agent workflows in production environments. Deep understanding of vector databases , semantic search , and dense retrieval techniques for real-time matching. Experience integrating with AI agent frameworks like LangGraph, Haystack, and CrewAI , and building robust RAG pipe
Job Title: React Native Mobile Developer Location: Kochi, Kerala Position Type: Full - Time About the Role: We are seeking a skilled and passionate React Native Mobile Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining cross-platform mobile applications that cater to both Android and iOS platforms. You will collaborate closely with backend developers, ensure the seamless integration of APIs and third-party services, and contribute to the overall performance and scalability of the application. Whether you're just starting your career or are a seasoned professional, this role offers opportunities for growth and mentorship. Key Responsibilities: Design, develop, and maintain cross-platform mobile applications using React Native. Build reusable components and front-end libraries for future use. Integrate RESTful APIs and third-party services. Work closely with backend developers to ensure seamless integration. Optimize mobile applications for maximum performance and scalability. Write clean, maintainable code and participate in code reviews. Debug and resolve technical issues in production and development environments. Mentor junior developers and contribute to best practices (for senior roles). Required Skills & Qualifications: General Requirements (All Levels): Masters degree in computer science, Engineering, or a related field with strong academic performance. Strong proficiency in JavaScript and React Native. Experience with mobile application development for both Android and iOS platforms. Familiarity with mobile UI/UX design principles and responsive design. Knowledge of REST APIs and asynchronous programming. Experience with version control tools like Git. Good to Have: Experience with TypeScript in mobile projects. Knowledge of native Android (Java/Kotlin) or iOS (Swift/Objective-C) development. Familiarity with CI/CD tools for mobile app deployment. Exposure to Agile methodologies (Scrum/Kanban). If you're passionate about mobile development and excited to grow in a collaborative environment, we encourage you to apply. Share your cv and please confirm me with the details below mentioned to aswin.chandran@linnk.com. Full Name: Contact Number: Email Address: Current Employer: Designation: Total Experience: Current Salary: Expected Salary: Notice Period: Team size: Current Location: Key Skills: Kr,
Job Title: Lead Solutions Architect AI Infrastructure & Private Cloud Job Summary: We are seeking a highly skilled Lead Solutions Architect with deep expertise in AI/ML infrastructure, HPC, and container platforms to lead the design and delivery of enterprise-grade AI solutions. You will architect and optimize private cloud environments powered by NVIDIA AI Enterprise and GreenLake technologies, enabling scalable, secure, and high-performance AI workloads. Key Responsibilities: 1. Leadership & Strategy Lead solution design and delivery of AI/HPC platforms (OpenShift, Rancher, etc.) aligned with business goals and NVIDIA AI Factory principles. Ensure delivery assurance, stakeholder alignment, and risk management across the project lifecycle. 2. Architecture & Integration Architect containerized and HPC workloads using platforms like Red Hat OpenShift, SUSE Rancher, Slurm, and PBS Pro. Integrate NVIDIA AI Enterprise and open-source ML tools into broader software ecosystems. 3. Technical Engagements Lead RFP/RFI responses, customer consultations, and PoCs to validate performance and integration. Recommend optimal infrastructure configurations using reference architectures from clients and partners. 4. Innovation & Enablement Stay updated on trends across HPC, Kubernetes, hybrid cloud, and security to drive innovation. Mentor consultants and promote internal knowledge-sharing. 5. Customer-Centric Delivery Act as a trusted advisor, translating complex technical concepts into business value. Collaborate with infrastructure, DevOps, and data science teams for seamless delivery. Required Skills & Experience: AI Infrastructure & HPC: Proficiency in workload schedulers (Slurm, PBS Pro), cluster management tools (HPCM, Base Command Manager), and high-speed networking (InfiniBand, Ethernet). Containers & Orchestration: Hands-on experience with Docker, Podman, Singularity; expertise in Kubernetes, OpenShift, Rancher. Deep knowledge of NVIDIA GPU Operator, DCGM, and GPU optimization. Operating Systems & Virtualization: Advanced Linux admin skills (RHEL, SLES, Ubuntu) and experience with virtualization (KVM, OpenShift Virtualization). Cloud, DevOps & MLOps: Experience with hybrid cloud environments, CI/CD, IaC, and integrating ML frameworks into production workflows. Understanding of cloud-native security, observability, and compliance. Networking & Protocols: Strong grasp of networking (TCP/IP, DNS, routing) and protocols like S3, NFS, SMB for hybrid data workflows. Programming & Automation: Scripting experience in Python, Bash, and automation of infrastructure/ML pipelines. Soft Skills & Leadership: Strong communication, project leadership, and stakeholder management skills. Ability to align technical solutions with enterprise business objectives. Qualifications: Bachelor’s/Master’s in Computer Science or related field. 8–10 years of experience in AI/ML, HPC, and container-based solutions. Preferred certifications: RHCSA, RHCE, CKA, CKAD, CKS, NVIDIA Certified – AI Infrastructure & Ops.
Greetings from LINNK Group! LINNK is hiring a passionate and experienced Full Stack Developer to join our growing team. If you're strong in React.js on the frontend and Python on the backend, wed love to connect! Job Title: Full Stack Developer React.js, Python, SQL & NoSQL Location: Bangalore Experience: 47 Years Key Responsibilities: Build and maintain scalable web applications using React.js and Python (Flask/FastAPI) Design and integrate REST APIs Work with both SQL Server and MongoDB Collaborate with cross-functional teams for clean, modular code Ensure code quality via Jest , PyTest , Postman , and Swagger Use Git/GitHub for version control Tech Stack Must-Haves: Frontend: React.js, Redux, shadcn, HTML5, CSS3, Tailwind CSS Backend: Python, Flask or FastAPI Database: SQL Server, MongoDB Tools: Git, Postman, Swagger Bonus: Docker, CI/CD pipelines, Linux scripting If the above mentioned role matches your skills and aspiration do share your cv's to Abdul.Sinan@linnk.com
Job Title: Senior React Native Mobile Developer Location: Kochi, Kerala Position Type: Full - Time About the Role: We are seeking a skilled and passionate React Native Mobile Developer to join our dynamic team. In this role, you will be responsible for designing, developing, and maintaining cross-platform mobile applications that cater to both Android and iOS platforms. You will collaborate closely with backend developers, ensure the seamless integration of APIs and third-party services, and contribute to the overall performance and scalability of the application. Whether you're just starting your career or are a seasoned professional, this role offers opportunities for growth and mentorship. Key Responsibilities: Design, develop, and maintain cross-platform mobile applications using React Native. Build reusable components and front-end libraries for future use. Integrate RESTful APIs and third-party services. Work closely with backend developers to ensure seamless integration. Optimize mobile applications for maximum performance and scalability. Write clean, maintainable code and participate in code reviews. Debug and resolve technical issues in production and development environments. Mentor junior developers and contribute to best practices (for senior roles). Required Skills & Qualifications: General Requirements (All Levels): Masters degree in computer science, Engineering, or a related field with strong academic performance. Strong proficiency in JavaScript and React Native. Experience with mobile application development for both Android and iOS platforms. Familiarity with mobile UI/UX design principles and responsive design. Knowledge of REST APIs and asynchronous programming. Experience with version control tools like Git. Good to Have: Experience with TypeScript in mobile projects. Knowledge of native Android (Java/Kotlin) or iOS (Swift/Objective-C) development. Familiarity with CI/CD tools for mobile app deployment. Exposure to Agile methodologies (Scrum/Kanban). If you're passionate about mobile development and excited to grow in a collaborative environment, we encourage you to apply. Share your cv and please confirm me with the details below mentioned to aswin.chandran@linnk.com. Full Name: Contact Number: Email Address: Current Employer: Designation: Total Experience: Relevant Experience: Current Salary: Expected Salary: Notice Period: Team size: Current Location: Key Skills: Kr,
Job description Job Title: React.js Developer (Junior/ Mid/Senior Levels) Location: Cochin, India (Need to relocate) Job Type: Full-Time Department: Engineering / Software Development About Linnk Group: Linnk Group is a rapidly growing technology solutions provider committed to developing scalable and high-performing software products. We place a strong emphasis on innovation, collaboration, and fostering a robust engineering culture. At Linnk, you'll have the chance to work alongside passionate professionals on cutting-edge projects that make a real impact. Job Summary: We are hiring 10 React.js Developers ranging from Junior to Senior levels, with 1 to 10 years of experience and strong academic foundations. Ideal candidates will have hands-on experience in frontend web development using React.js, a deep understanding of modern JavaScript, and a passion for writing clean, scalable, and maintainable code. Key Responsibilities: Design & Implement UI Components: Build and implement user interface components using React.js for web-based applications. Develop Scalable Code: Write high-quality, reusable, and maintainable code to deliver efficient solutions. Optimize Performance: Enhance performance across various browsers and devices, ensuring seamless user experiences. Collaborate with Teams: Work closely with UI/UX designers and backend developers to integrate and deliver features. Code Integrity & Responsiveness: Maintain code integrity, ensuring responsiveness across platforms and devices. Debugging & Troubleshooting: Resolve issues and bugs effectively as they arise. Code Reviews & Improvement: Actively participate in code reviews and continuously strive to improve development practices. Mentorship (for Senior Roles): Provide technical guidance and mentorship to junior developers, leading by example. Required Skills & Qualifications: General Requirements (For All Levels): Masters degree in Computer Science, Engineering, or a related field with strong academic performance. Strong proficiency in JavaScript, React.js, HTML5, and CSS3. Familiarity with RESTful APIs and asynchronous request handling. Experience with state management tools such as Redux, Context API, etc. Familiarity with front-end build tools and workflows (Webpack, Babel, npm/yarn). Comfortable using Git and version control practices. Good to Have: Experience with TypeScript in React projects. Exposure to Next.js or other React frameworks. Familiarity with UI libraries such as Material-UI , Tailwind CSS , or Ant Design . Understanding of CI/CD workflows and frontend deployment. Knowledge of accessibility and SEO best practices. How to Apply: Please send your updated resume to aswin.chandran@linnk.com with the following details. Current Employer: Designation: Total Experience: Current Salary: Expected Salary: Notice Period: Team Size: Current Location: Nationality: Key Skills: Reason for Change:
Job Summary: A Business Intelligence Analyst to play a pivotal role in gathering and maintaining a comprehensive database of names and contacts across the global STEM marketplace. Responsible to search prospective client, profile and skill sets across varying external online mediums, the results of which will then be extracted and uploaded into the company CRM for call utilisation by the sales team. Experience: Bachelors degree in business, Information Systems, or a related field. Proven experience in business intelligence, market research, or data analysis roles. Familiarity with the STEM industry and its key players is highly desirable. Proficient in data management tools and software (e.g., Excel, CRM systems, social media platforms, data scraping tools). Qualifications: Graduation in Business, Information Systems or related field Responsibilities: Market Research: Conduct thorough research to identify key players, organizations, and influencers in the global STEM industry. Contact Database Management: Build and maintain an extensive database of names, contact information, and relevant details for individuals and organizations in the STEM sector. Data Quality Assurance: Ensure data accuracy, completeness, and relevance through regular audits and updates. Data Analysis and Reporting: Provide insights and analysis on the gathered data, including trends, patterns, and potential business opportunities. Stakeholder Collaboration: Work closely with other departments to align data needs and contribute to the overall business strategy. Compliance and Ethics: Adhere to all relevant data protection and privacy regulations in the gathering and use of contact information. Key Competencies (Skills): Strong analytical skills with the ability to derive meaningful insights from complex data sets. Excellent communication skills, both written and verbal. Detail-oriented with a commitment to maintaining high data quality standards. Ability to work independently and collaboratively in a fast-paced, dynamic environment. Desired - Experience using web scraping and data extraction techniques to gather contact information. Desired - Familiarity with industry-specific databases and resources. Desired - Knowledge of data privacy regulations (e.g., GDPR, CCPA).
Role & responsibilities Product Marketing Manager Location: Kochi Employment Type: Full-time Linnk is building a global AI-native SaaS ecosystem that transforms how recruitment, HR, and finance industries operate. Our products combine automation, data, and AI to help businesses scale seamlessly across markets. We are looking for a Product Marketing Manager who can bridge the gap between product, market, and customer. The ideal candidate has a product-first mindset , is curious about AI , and can craft positioning, messaging, and campaigns that resonate globally. Key Responsibilities Define clear product positioning and messaging that reflects Linnks value globally. Collaborate with product, design, and sales to support launches and feature adoption. Conduct market and competitor research to identify opportunities and product gaps. Create and manage product marketing content (sales decks, landing pages, case studies, etc.). Contribute to GTM strategies and demand-generation campaigns. Track adoption and market impact, providing feedback into product and roadmap. Skills & Qualifications 3+ years of experience in product marketing, preferably in B2B SaaS . Strong communication and storytelling skills. Ability to simplify complex product concepts into clear, engaging messaging. Exposure to AI-driven products, SaaS, or HR/Finance tech is a plus. Strong problem-solving and analytical thinking. Comfortable working in a fast-paced, global environment with cross-functional teams. Preferred candidate profile
Greetings from LINNK Group, Role Overview We are seeking a Business Analyst with a strong product mindsetsomeone who thrives on solving complex problems, understands how products are built, and can collaborate seamlessly with both technical and business teams. In this role, you will help shape AI-native SaaS products by translating business needs into clear, actionable product requirements. You will work within an iterative, fast-paced environment, identifying gaps, mitigating risks, and ensuring every feature delivers measurable value to end users. Job Title: Business Analyst / Senior Business Analyst Department: Product Management Location: Kochi Key Responsibilities Requirement Gathering & Documentation Conduct workshops, interviews, and research to capture functional, technical, and business requirements. Stakeholder Collaboration Act as a bridge between product managers, engineers, UI/UX designers, AI engineers, and business stakeholders. AI-Aware Product Thinking Leverage understanding of AI capabilities (chatbots, automation, predictive analytics) to identify opportunities for intelligent features. Problem Solving & Gap Analysis – Identify process inefficiencies, product risks, and propose scalable, technology-driven solutions. Product Lifecycle Support – Assist in roadmap planning, sprint refinement, and post-release analysis to ensure features meet business objectives. User Story Creation – Develop clear, detailed user stories with acceptance criteria to support development teams. Testing & Validation – Support QA and UAT processes by validating features against requirements. Skills & Qualifications 3–5 years of experience in Business Analysis or Product Ownership within SaaS or technology-driven environments. Strong problem-solving skills with an end-to-end product flow perspective. Exposure to AI-driven solutions or automation workflows (preferred). Familiarity with tools such as Jira, Confluence, Figma, and data visualization platforms. Understanding of UI/UX principles and ability to collaborate effectively with design teams. Mindset & Attributes Product thinker – Considers user impact, scalability, and long-term value. Curious and adaptable – Eager to learn emerging AI/ML capabilities. Outcome-driven – Focused on delivering features that achieve measurable impact. If you're ready to make a difference and contribute your expertise to our team, we want to hear from you! Please send your updated resume and the following details to sajad.ali@linnk.com
Were Hiring: Multi-Cloud Security Engineer (GCP Focus) Location: Pune / Bangalore Experience: 58 years Employment: On payroll of Linnk Group Client: Leading Multinational IT Company Notice Period: Immediate joiners or candidates with less than 2 weeks notice preferred. We are seeking a hands-on Cloud Security Engineer with strong expertise in Google Cloud Platform (GCP) and experience across multi-cloud environments (AWS/Azure). You will design and implement security controls, build automation with Terraform/OPA, and integrate CSPM tools to secure enterprise-scale workloads. Key Skills: GCP Security, Terraform, OPA/Rego, CSPM Tools (Wiz/Prisma/CloudGuard), CI/CD (Jenkins/GitHub Actions), Scripting (Python/Bash). Responsibilities Implement and manage GCP security controls (Org Policies, IAM, VPC SC, APIs). Develop and deploy cloud security automation using Terraform, CI/CD pipelines, and policy-as-code (OPA/Rego). Integrate and manage CSPM tools (Wiz, Prisma Cloud, Check Point CloudGuard). Build and support event-driven serverless security controls (Cloud Functions, AWS Lambda, Azure Functions). Collaborate with risk, architecture, and incident response teams to strengthen cloud security posture. Troubleshoot and remediate cloud security issues across multi-cloud environments. Requirements 7+ years of cloud engineering/security experience, with strong focus on GCP . Solid knowledge of the cloud shared responsibility model and security best practices. Experience with Terraform, CI/CD pipelines, and scripting (Python, Bash, PowerShell, or Go). Hands-on experience with CSPM tools and policy-as-code (OPA/Rego) . Strong understanding of DevOps workflows, Secure SDLC, and logging/monitoring in cloud. Excellent communication skills; ability to work with global teams. Please share cv to Surjith.cm@linnk.com with updated cv to apply .
Role Overview We are seeking an experienced and detail-oriented QA Manager to lead our Quality Assurance function within the Innovation Hub. The role involves managing a team of QA engineers, building robust testing strategies , and ensuring the delivery of high-quality, scalable enterprise SaaS products . The ideal candidate will have expertise in manual and automation testing , CI/CD QA integration , and experience in domains such as CRM, ERP, Accounting, and AI/Chatbot solutions . Ideal Background Bachelors or Masters degree in Computer Science, Information Technology, or related field . 7+ years of proven experience in Software Quality Assurance , with at least 2+ years in a leadership/managerial role . Strong experience in manual testing, automation frameworks (Selenium, Cypress, Playwright, Appium), and performance testing tools . Hands-on experience in QA for SaaS applications, CRM, ERP, Accounting, or AI-driven platforms . Familiarity with Vector DB, RDBMS (PostgreSQL, MySQL), and API testing is a strong plus. Good understanding of Agile/Scrum methodologies and QA integration into CI/CD pipelines (Jenkins, GitLab CI/CD, AWS/GCP). Strong knowledge of WebSockets, APIs, and real-time systems testing . Excellent communication, leadership, and mentoring skills to guide QA engineers. Exposure to security testing, compliance, and data privacy validation will be an advantage. Key Responsibilities Build & Manage QA Strategy : Define, implement, and manage end-to-end QA processes across product lines. Automation Leadership : Drive adoption of test automation frameworks for web, mobile, and API testing. Team Management : Lead, mentor, and upskill QA engineers to deliver high-quality releases. Quality Governance : Ensure QA best practices, reporting, and metrics are embedded into product engineering. Cross-Functional Collaboration : Work closely with developers, product managers, and AI engineers to align testing with business goals. Performance & Security Testing : Validate scalability, load, and compliance for enterprise-grade SaaS platforms. Innovation Focus : Adopt modern QA practices like shift-left testing, AI-driven test automation, and predictive QA analytics . Customer-Centric Mindset : Ensure all releases meet usability, performance, and reliability benchmarks. Benefits & Perks Competitive Salary Package with performance-based incentives. Comprehensive Health & Wellness Benefits . On-site Leadership Role at Linnk Innovation Hub, Infopark Kochi. Career Growth : Leadership advancement opportunities within global product teams. Learning & Development : Training in automation, AI-driven QA, and certifications. Recognition & Rewards for innovation and impactful contributions. Cutting-Edge Projects in SaaS, Generative AI, and enterprise product development.
Job Summary: The Talent Recruiter will use various techniques to gather information which will form the basis of Market Intel data (MI). The role requires proactive cleansing, expansion and management of specific candidate and client data pools. The compilation of data is expected to be derived through a combination of database management, market mapping, direct headhunting, networking, and advertising techniques. For the most part, the Internet will be used to conduct broad research. This will include, CRM, Online Job Boards, social media, networking platforms, corporate websites, and general industry platform searches to identify technology and industry live Market intelligence and Decision makers Experience: Proven experience in IT recruitment/, Experience in usage various job boards. Shift Timings: 11 am to 8 pm Qualifications: Degree or equivalent in Business / Human Resources or similar field Responsibilities: Source senior level, highly specialist candidates for leading global businesses, covering the European and International markets Keep up to date with latest industry trends to ensure candidates can be evaluated against industry standard assessments Build and develop your client portfolio, providing expert consultation to ensure repeat business Generate new leads and clients using your network of contacts Network online and offline with potential candidates to promote our employer brand and ensure we attract the best professionals Effectively collate information from various media and database platforms to create target lists for sales teams to approach. Research analyzing data requests and planning end to end data delivery Data gathering and collection ensuring project timelines are met by following a structured delivery methodology of client MI Eligibility and integrity checking - thorough analysis of the compiled data for accuracy, validity, and consistency Engagement Identifying client decision makers and making initial email contact through targeted distribution of corporate brochures List management – create long list of passive and active looking candidates for specific technology requirements Collaboration – developing sales requests through design of new data reports and improving delivery processes Key Competencies (Skills): Highly analytical mind, problem solving skills, being able to find explanations behind results Strong communication skills, with the ability to translate and gathered data into simple narratives Computer literacy - experience in using relational databases, social networking tool, MS Office applications, in particular) Excellent organizational skills, with an ability to prioritize important projects Strong phone, email and in-person communication skills
Job Ove-rview We are seeking a hands-on and customer-facing AWS MLOps & LLMOps Engineer with expertise in reinforcement learning , SageMaker , Feature Store , and continuous ML lifecycle management . Youll lead the deployment and monitoring of ML and LLM models, support sales with RFPs, and take full ownership of AI projects from ideation to production. Experience with Kubernetes is a strong plus. Key Responsibilities Design and implement MLOps and LLMOps pipelines using AWS services (SageMaker Pipelines, Lambda, EKS, ECS, etc.) Build and manage reinforcement learning pipelines , including simulation environments, reward modeling, and policy optimization Integrate and maintain Amazon SageMaker Feature Store for real-time and batch feature ingestion Enable continuous training , model monitoring , and automated deployment using CI/CD workflows Collaborate with data scientists to operationalize ML and LLM models, including fine-tuning and prompt engineering Develop and maintain High-Level Designs (HLD) and network architecture for scalable AI solutions Engage with customers to understand requirements and propose tailored AI/ML solutions Provide technical support for RFPs , including architecture design, effort estimation, and documentation Ensure security, compliance, and governance across all ML/LLM workflows Lead and support AI projects with full ownership from experimentation to production Create architecture HLD with networking, data flow, components and integration diagram Required Skills & Qualifications 2-6 years of experience in MLOps , with hands-on exposure to LLMOps and reinforcement learning Strong experience with AWS SageMaker , including Pipelines, Model Registry, and Feature Store Proficiency in Python , Docker , Terraform , and CI/CD tools Familiarity with RL frameworks like Ray RLlib, OpenAI Gym, or Stable Baselines Experience with ML frameworks such as TensorFlow, PyTorch, and Hugging Face Transformers Solid understanding of networking , security protocols , and cloud-native architecture Excellent communication and client engagement skills Bachelors or masters degree in computer science, Data Science, or related field Preferred Qualifications Good to have experience with Kubernetes (EKS preferred) for container orchestration and scalable ML deployments AWS Certified Machine Learning Specialty or equivalent certifications Exposure to model monitoring tools (e.g., SageMaker Model Monitor, Prometheus, Grafana) Knowledge of LLM evaluation , bias detection , and hallucination mitigation Familiarity with data lake architectures , feature engineering , and metadata managementRole & responsibilities Preferred candidate profile
Job Title: AI / Machine Learning (ML) Trainer 6-Month Contract Location: Linnk Academy, Kasaragod Job Type: Contract (6 Months) Contract Duration: 6 Months (with possible extension based on performance) Experience Required: 1–3+ years (Training/Teaching or Industry) Education: B.Tech in Computer Science or equivalent Job Summary: We are looking for a knowledgeable and passionate AI/ML Trainer for a 6-month contract role to deliver structured and engaging training sessions on Artificial Intelligence (AI) and Machine Learning (ML) . The ideal candidate will have a B.Tech in Computer Science , hands-on experience in ML tools and technologies, and a strong foundation in teaching or mentoring students or professionals. Key Responsibilities: Deliver instructor-led training (ILT) or virtual instructor-led training (VILT) on: Core concepts of Artificial Intelligence and Machine Learning Python for Data Science and ML ML algorithms (Regression, Classification, Clustering, etc.) Deep Learning : Neural Networks, CNNs, RNNs ML Libraries: Scikit-learn, TensorFlow, Keras, PyTorch Introduction to Natural Language Processing (NLP) and Computer Vision Guide learners through hands-on projects , assignments, and real-world use cases. Develop and maintain training content , assessments, and documentation. Mentor and support learners via doubt-clearing sessions , code reviews, and feedback. Track learner progress and report performance to the program manager. Stay updated with latest trends in AI/ML and incorporate them into the curriculum. Required Skills & Qualifications: B.Tech in Computer Science or related field. 1–3+ years of experience in training/teaching or relevant industry projects. Strong command of: Python Machine Learning fundamentals Model evaluation, tuning, and deployment Good understanding of statistics, probability, and linear algebra. Clear communication skills with a passion for mentoring and teaching.
Job Title: Digital Marketing / AI Trainer 6-Month Contract Location: Linnk Academy, Kasaragod Job Type: Contract (6 Months) Contract Duration: 6 Months (with possible extension based on performance) Experience Required: 1–3+ years (Training/Teaching or Industry) Education: Bachelor’s degree in business, Computer Science, Information Technology, or a related field. Job Summary: We are looking for a knowledgeable and passionate Digital Marketing Trainer with expertise in SEO, SEM, WordPress, Google Ads, Meta Ads (Facebook/Instagram Ads) , and a foundational understanding of AI tools in marketing . The trainer will be responsible for delivering high-quality training sessions to students, both online and offline. Key Responsibilities: Conduct Training Sessions on: Search Engine Optimization (SEO) – On-page, Off-page, Technical SEO Search Engine Marketing (SEM) – Google Ads (Search, Display, Video) Social Media Marketing – Meta Ads (Facebook, Instagram) WordPress Website Development & Management Email Marketing, Affiliate Marketing, Influencer Marketing Google Analytics & Google Tag Manager AI Tools in Digital Marketing (ChatGPT, Canva AI, Jasper, etc.) Design and update training curriculum, modules, and assessments . Conduct live projects, workshops, and case study sessions . Provide one-on-one mentoring and doubt-clearing sessions . Stay up to date with the latest digital marketing trends and platform updates . Evaluate students’ performance and provide regular feedback. Collaborate with content and placement teams to ensure student success Required Skills & Qualifications: Bachelor’s degree in marketing, Business, IT, or related field. Proven work experience in digital marketing or as a trainer (minimum 1–3 years). Hands-on experience with: Google Ads (certifications preferred) Meta Ads Manager WordPress (elementor, themes, plugins) SEO tools (Ahrefs, SEMrush, Google Search Console, Yoast) AI-powered tools for content and automation Strong communication, presentation, and interpersonal skills. Prior experience in corporate training
Job Title: AI Lead Generative AI & ML Systems Location: Infopark, Kochi, Kerala Employment Type: Permanent About Us: Linnk Group is a global STEM recruitment and technology consultancy with established entities in the UAE, KSA, Qatar, India, and the UK. We are building AI-first platforms that power intelligent automation across recruitment, sales, and workforce management. Our technology stack includes LLM-based applications, RAG pipelines, CV parsing engines, chatbots, and agentic AI workflows integrated with cloud-native infrastructure. We are looking for a hands-on and experienced Lead AI/ML Engineer to architect, build, and scale our GenAI systems across products. This is a foundational role that will help define the technical direction and lead the implementation of production-grade AI components. Key Responsibilities Generative AI Development Design and implement LLM-powered solutions and generative AI models for use cases such as predictive analytics, automation workflows, anomaly detection, and intelligent systems. RAG & LLM Applications Build and deploy Retrieval-Augmented Generation (RAG) pipelines, structured generation systems, and chat-based assistants tailored to business operations. Full AI Lifecycle Management Lead the complete AI lifecycle—from data ingestion and preprocessing to model design, training, testing, deployment, and continuous monitoring. Optimization & Scalability Develop high-performance AI/LLM inference pipelines, applying techniques like quantization, pruning, batching, and model distillation to support real-time and memory-constrained environments. MLOps & CI/CD Automation Automate training and deployment workflows using Terraform, GitLab CI, GitHub Actions, or Jenkins, integrating model versioning, drift detection, and compliance monitoring. Cloud & Deployment Deploy and manage AI solutions using AWS, Azure, or GCP with containerization tools like Docker and Kubernetes. AI Governance & Compliance Ensure model/data governance and adherence to regulatory and ethical standards in production AI deployments. Stakeholder Collaboration Work cross-functionally with product managers, data scientists, and engineering teams to align AI outputs with real-world business goals. Required Skills & Qualifications Bachelor’s degree (B.Tech or higher) in Computer Science, IT, or a related field is required. 8-12 Year exp- from the Ai team with overall experience in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) solution development. Minimum 2+ years of hands-on experience in Generative AI and LLM-based solutions, including prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG) pipelines with full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution . Proven expertise in both open-source and proprietary Large Language Models (LLMs), including LLaMA, Mistral, Qwen, GPT, Claude, and BERT . Expertise in C/C++ & Python programming with relevant ML/DL libraries including TensorFlow, PyTorch , and Hugging Face Transformers . Experience deploying scalable AI systems in containerized environments using Docker and Kubernetes . Deep understanding of the MLOps/LLMOps lifecycle , including model versioning, deployment automation, performance monitoring, and drift detection. Familiarity with CI/CD pipelines ( GitHub Actions, GitLab CI, Jenkins ) and DevOps for ML workflows. Working knowledge of Infrastructure-as-Code (IaC) tools like Terraform for cloud resource provisioning and reproducible ML pipelines. Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Designed and documented High-Level Design (HLD) and Low-Level Design (LLD) for ML/GenAI systems, covering data pipelines, model serving, vector search, and observability layers. Documentation included component diagrams, network architecture, CI/CD workflows, and tabulated system designs. Provisioned and managed ML infrastructure using Terraform, including compute clusters, vector databases, and LLM inference endpoints across AWS, GCP, and Azure. Experience beyond notebooks : shipped models with logging, tracing, rollback mechanisms, and cost control strategies. Hands-on ownership of production-grade LLM workflows , not limited to experimentation. Full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution. Preferred Qualifications (Good To Have) Experience with LangChain, LlamaIndex, AutoGen, CrewAI, OpenAI APIs , or building modular LLM agent workflows. Exposure to multi-agent orchestration , tool-augmented reasoning, or Autonomous AI agents and agentic communication patterns with orchestration. Experience deploying ML/GenAI systems in regulated environments , with established governance, compliance, and Responsible AI frameworks. Familiarity with AWS data and machine learning services , including Amazon SageMaker, AWS Bedrock, ECS/EKS, and AWS Glue, for building scalable, secure data pipelines and deploying end-to-end AI/ML workflows.
Were Hiring: Technical Consultant – BizTalk Solutions Location: Pune / Bangalore Experience: 1–3 years Employment: On payroll of Linnk Group Client: Leading Multinational IT Company We are seeking a Technical Consultant – BizTalk Solutions with 1–3 years of hands-on experience in .NET Core/.NET 6+, Blazor, and BizTalk Server . This role offers an excellent opportunity to work on BizTalk integrations, Azure-hosted .NET applications, and automation frameworks , while gaining exposure to enterprise-scale solutions. Key Skills: Basic to intermediate experience in .NET Core / .NET 6+, C#, LINQ, EF Core Exposure to Blazor (Server/WebAssembly), Razor Components, SignalR BizTalk Server fundamentals : Pipelines, Schemas, Maps, Orchestrations, EDI, BRE, BAM Knowledge of Azure SQL, Blob Storage, App Services, Key Vault, Azure Monitor Familiarity with Terraform for Azure resource provisioning CI/CD exposure with Azure DevOps / GitHub Actions , Git version control Understanding of REST APIs, JSON, OAuth2, Azure AD authentication Eager to learn, strong debugging & problem-solving skills Notice Period: Immediate joiners or candidates with less than 2 weeks notice preferred. Please share your updated CV to vigesh.k@linnk.com to apply.
Job Title: AI Lead Generative AI & ML Systems Location: Infopark, Kochi, Kerala Employment Type: Permanent About Us: Linnk Group is a global STEM recruitment and technology consultancy with established entities in the UAE, KSA, Qatar, India, and the UK. We are building AI-first platforms that power intelligent automation across recruitment, sales, and workforce management. Our technology stack includes LLM-based applications, RAG pipelines, CV parsing engines, chatbots, and agentic AI workflows integrated with cloud-native infrastructure. We are looking for a hands-on and experienced Lead AI/ML Engineer to architect, build, and scale our GenAI systems across products. This is a foundational role that will help define the technical direction and lead the implementation of production-grade AI components. Key Responsibilities Generative AI Development Design and implement LLM-powered solutions and generative AI models for use cases such as predictive analytics, automation workflows, anomaly detection, and intelligent systems. RAG & LLM Applications Build and deploy Retrieval-Augmented Generation (RAG) pipelines, structured generation systems, and chat-based assistants tailored to business operations. Full AI Lifecycle Management Lead the complete AI lifecycle—from data ingestion and preprocessing to model design, training, testing, deployment, and continuous monitoring. Optimization & Scalability Develop high-performance AI/LLM inference pipelines, applying techniques like quantization, pruning, batching, and model distillation to support real-time and memory-constrained environments. MLOps & CI/CD Automation Automate training and deployment workflows using Terraform, GitLab CI, GitHub Actions, or Jenkins, integrating model versioning, drift detection, and compliance monitoring. Cloud & Deployment Deploy and manage AI solutions using AWS, Azure, or GCP with containerization tools like Docker and Kubernetes. AI Governance & Compliance Ensure model/data governance and adherence to regulatory and ethical standards in production AI deployments. Stakeholder Collaboration Work cross-functionally with product managers, data scientists, and engineering teams to align AI outputs with real-world business goals. Required Skills & Qualifications Bachelor’s degree (B.Tech or higher) in Computer Science, IT, or a related field is required. 8-12 Year exp- from the Ai team with overall experience in Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) solution development. Minimum 2+ years of hands-on experience in Generative AI and LLM-based solutions, including prompt engineering, fine-tuning, Retrieval-Augmented Generation (RAG) pipelines with full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution . Proven expertise in both open-source and proprietary Large Language Models (LLMs), including LLaMA, Mistral, Qwen, GPT, Claude, and BERT . Expertise in C/C++ & Python programming with relevant ML/DL libraries including TensorFlow, PyTorch , and Hugging Face Transformers . Experience deploying scalable AI systems in containerized environments using Docker and Kubernetes . Deep understanding of the MLOps/LLMOps lifecycle , including model versioning, deployment automation, performance monitoring, and drift detection. Familiarity with CI/CD pipelines ( GitHub Actions, GitLab CI, Jenkins ) and DevOps for ML workflows. Working knowledge of Infrastructure-as-Code (IaC) tools like Terraform for cloud resource provisioning and reproducible ML pipelines. Hands-on experience with cloud platforms (AWS, GCP, Azure) and container orchestration (Docker, Kubernetes). Designed and documented High-Level Design (HLD) and Low-Level Design (LLD) for ML/GenAI systems, covering data pipelines, model serving, vector search, and observability layers. Documentation included component diagrams, network architecture, CI/CD workflows, and tabulated system designs. Provisioned and managed ML infrastructure using Terraform, including compute clusters, vector databases, and LLM inference endpoints across AWS, GCP, and Azure. Experience beyond notebooks : shipped models with logging, tracing, rollback mechanisms, and cost control strategies. Hands-on ownership of production-grade LLM workflows , not limited to experimentation. Full CI/CD integration, monitoring, and observability pipelines, with 100% independent contribution. Preferred Qualifications (Good To Have) Experience with LangChain, LlamaIndex, AutoGen, CrewAI, OpenAI APIs , or building modular LLM agent workflows. Exposure to multi-agent orchestration , tool-augmented reasoning, or Autonomous AI agents and agentic communication patterns with orchestration. Experience deploying ML/GenAI systems in regulated environments , with established governance, compliance, and Responsible AI frameworks. Familiarity with AWS data and machine learning services , including Amazon SageMaker, AWS Bedrock, ECS/EKS, and AWS Glue, for building scalable, secure data pipelines and deploying end-to-end AI/ML workflows.
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