Hir Infotech Pvt. Ltd. is an equal employment opportunity employer, offering equal employment opportunities to all individuals regardless of race, color, religion, sex, age, national origin, disability status, sexual orientation, protected veteran status, marital status and any other characteristic protected by law. We are currently seeking a Intern WordPress Developer who wants to build career in Web Development. Please review the details below for more information: Position: Intern WordPress Developer Exp: Fresher Opening: 05 Qualification: BCA/MCA, BE(IT/CE/CS), Msc.IT with min. 60% in SSC, HSC and Bachelors curriculum. Passing Batch Year: 2024, 2025 Training Schedule: Duration: 6 months + Job Assurance Days: 5 Day Working (MondayFriday) Timing: 10:00 AM to 7:00 PM Note: 6 Months Free training + Job Assurance ; 14,500++ salary after successfully completion of training. General information Location: B-362 Money Plant high street, Jagatpur Road, SG Highway, Gota, Ahmedabad 382481 Company Type: IT (Information Technology) Working: Internationally Application Process: Interested students can apply online at https://instahr.net/INT25/form/. Shortlisted candidates will take an aptitude test to assess suitability. We believe this training will empower you with practical skills and career opportunity. Warm Regards, Hiral Prajapati | HR Head W: hirinfotech.com M: +91 9409628528
Hir Infotech Pvt. Ltd. is an equal employment opportunity employer, offering equal employment opportunities to all individuals regardless of race, color, religion, sex, age, national origin, disability status, sexual orientation, protected veteran status, marital status and any other characteristic protected by law. We are currently seeking Trainee SEO Executives who wants to build career in Digital Marketing. Please review the details below for more information: Position: Trainee SEO Executive Exp: 0 to 6 months Opening: 05 Qualification: Any graduate having Good English Writing with Grammar and min. 60% in SSC, HSC and Bachelors curriculum. Passing Batch Year: 2024, 2025 Training Schedule: Duration: 6 months+ Job Assurance Days: 5 Day Working (Monday to Friday) Timing: 10:00 AM to 7:00 PM Note: 6 Months Free training + Job Assurance ; 14,500++ salary after successfully completion of training. General information Location: B-362 Money Plant high street, Jagatpur Road, SG Highway, Gota, Ahmedabad 382481 Company Type: IT (Information Technology) Working: Internationally Application Process: Interested candidate can apply online at https://instahr.net/INT25/form/. Shortlisted candidates will take an aptitude test to assess suitability. We believe this training will empower you with practical skills and career opportunity. Warm Regards, Hiral Prajapati | HR Head W: hirinfotech.com M: +91 9409628528
Qualification AI RD Department Role Overview Join our cutting-edge integration team to bridge the gap between innovative AI technologies and enterprise business systems. This collaborative learning opportunity focuses on implementing, integrating, and optimizing AI solutions across diverse organizational platforms and workflows. Key Responsibilities Research and evaluate emerging AI integration technologies including APIs, microservices, and cloud deployment solutions Collaborate with cross-functional teams to identify AI integration opportunities within existing business workflows Assist in designing and implementing AI-powered automation solutions using Python, REST APIs, and enterprise platforms Support integration of generative AI models, LLMs, and machine learning services into production systems Document integration architectures, processes, and operational dependencies for knowledge sharing Participate in proof-of-concept development and prototype testing for AI solutions Monitor AI system performance, troubleshoot integration issues, and ensure scalable deployment Required Qualifications Must-Haves Bachelor s degree in Computer Science, Engineering, Information Technology, or related field (final year students or recent graduates) Strong programming proficiency in Python with understanding of REST APIs and data integration concepts Knowledge of cloud platforms (AWS/GCP/Azure) and containerization technologies like Docker Understanding of AI/ML fundamentals including model deployment and inference endpoints Excellent analytical and problem-solving skills with attention to system architecture details Nice-to-Haves Experience with AI platforms such as OpenAI, Hugging Face, TensorFlow, or PyTorch frameworks Familiarity with enterprise software integration, CRM systems, or ERP platforms Knowledge of microservices architecture, CI/CD pipelines, and automation tools Understanding of data security best practices and AI governance principles Previous experience with prompt engineering or generative AI applications Learning Outcomes and Development Gain hands-on experience with enterprise-grade AI integration methodologies and deployment strategies Develop expertise in bridging AI technologies with business systems through mentorship from senior integration specialists Build comprehensive understanding of AI implementation challenges, scalability, and performance optimization Master industry-standard integration tools, platforms, and frameworks used in modern AI deployments Access to cutting-edge AI integration projects and exposure to real-world enterprise transformation initiatives Enhanced technical presentation skills through regular project demos and stakeholder communication This unpaid internship represents a collaborative knowledge-sharing opportunity in the rapidly evolving AI integration landscape. Outstanding performers will be considered for full-time positions based on contribution quality, technical proficiency, and organizational requirements. Duration: 6 months Hours: 09:00 AM to 06:00 PM (Monday to Friday) Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)
Qualification AI RD Department Role Overview Join our dynamic RD team to explore cutting-edge AI technologies, identify emerging opportunities, and contribute to innovative solutions. This collaborative learning experience focuses on hands-on research, implementation, and knowledge sharing in the rapidly evolving AI landscape. Key Responsibilities Conduct comprehensive research on current AI trends, technologies, and applications including LLMs, computer vision, and generative AI Analyze market opportunities and assess feasibility of AI implementations across various domains Develop proof-of-concept models and prototypes using Python, TensorFlow, and PyTorch frameworks Collaborate with senior researchers on real-world AI projects and experimentation Document findings, methodologies, and create technical reports for internal knowledge sharing Participate in code reviews, technical discussions, and project brainstorming sessions Present research progress through bi-weekly demos and final project presentations Required Qualifications Must-Haves Bachelor s degree in Computer Science, AI/ML, Data Science, or related field (final year students or recent graduates) Strong programming proficiency in Python with experience in NumPy, Pandas, and Scikit-learn Understanding of machine learning fundamentals including supervised/unsupervised learning and model evaluation Knowledge of deep learning concepts and frameworks (TensorFlow/PyTorch) Strong analytical and problem-solving capabilities with research aptitude Nice-to-Haves Experience with NLP, computer vision, or generative AI applications Familiarity with cloud platforms (AWS/GCP/Azure) and deployment technologies Previous internship or project experience in AI/ML development Knowledge of version control systems (Git) and collaborative development practices Understanding of AI ethics, bias evaluation, and responsible AI principles Learning Outcomes and Development Gain hands-on experience with state-of-the-art AI research methodologies and implementation Develop expertise in emerging AI technologies through mentorship from senior researchers Build a comprehensive portfolio of AI projects demonstrating real-world problem-solving capabilities Enhance technical presentation and documentation skills through regular project demos Access to cutting-edge research resources, datasets, and computational infrastructure Networking opportunities with AI professionals and potential career advancement pathways This unpaid internship represents a collaborative knowledge-sharing opportunity designed for mutual learning and skill development. Outstanding performers will be considered for full-time positions based on contribution quality and organizational requirements. Duration: 6 months Hours: 09:00 AM to 06:00 PM (Monday to Friday) Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)
Qualification AI RD Department Role Overview Join our data science team to explore cutting-edge analytics technologies, develop predictive models, and drive data-driven decision making. This collaborative learning opportunity focuses on end-to-end data science workflows, advanced statistical analysis, and real-world AI applications in business contexts. Key Responsibilities Conduct comprehensive data collection, cleaning, preprocessing, and exploratory data analysis using Python, R, and SQL frameworks Develop and implement machine learning models for classification, regression, clustering, and time-series forecasting applications Create advanced data visualizations and interactive dashboards using Tableau, Power BI, matplotlib, and seaborn libraries Perform statistical analysis, hypothesis testing, and A/B testing to derive actionable business insights Build and deploy predictive analytics models to support business strategy and operational optimization Collaborate with cross-functional teams to translate business requirements into analytical solutions and recommendations Document analytical processes, create technical reports, and present findings to stakeholders through compelling data storytelling Required Qualifications Must-Haves Bachelor s or Master s degree in Data Science, Statistics, Computer Science, Mathematics, or related field (final year students or recent graduates) Strong programming proficiency in Python with experience in NumPy, Pandas, Scikit-learn, and Jupyter Notebooks Solid understanding of statistical concepts including descriptive statistics, probability distributions, and inferential statistics Knowledge of SQL for database querying and data manipulation from various data sources Experience with data visualization tools and techniques for creating meaningful insights from complex datasets Nice-to-Haves Hands-on experience with machine learning frameworks like TensorFlow, PyTorch, or advanced scikit-learn applications Familiarity with cloud platforms (AWS, GCP, Azure) for data processing, model deployment, and distributed computing Knowledge of big data technologies including Spark, Hadoop, or NoSQL databases for large-scale data processing Experience with advanced analytics techniques including deep learning, NLP, or computer vision applications Previous internship experience or portfolio projects demonstrating real-world data science problem-solving capabilities Learning Outcomes and Development Gain hands-on experience with industry-standard data science methodologies and end-to-end analytics project lifecycle management Master cutting-edge analytical tools, frameworks, and cloud-based platforms through mentorship from senior data scientists Develop expertise in translating complex business problems into data-driven solutions with measurable impact Build comprehensive understanding of AI ethics, bias evaluation, and responsible analytics practices in enterprise environments Access to real-world datasets and high-visibility projects with potential for significant business impact and career advancement Enhanced presentation and stakeholder communication skills through regular project demos and cross-functional collaboration This unpaid internship represents a collaborative knowledge-sharing opportunity in the high-growth field of data science and analytics. Outstanding performers will be considered for full-time positions based on analytical excellence, innovative problem-solving, and demonstrated ability to drive business value through data insights. Duration: 6 months Hours: 09:00 AM to 06:00 PM (Monday to Friday) Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)
Qualification AI RD Department Role Overview Join our product innovation team to explore the intersection of artificial intelligence and strategic product development. This collaborative learning opportunity focuses on identifying market opportunities, conducting AI product research, and driving user-centered solutions in the rapidly evolving AI landscape. Key Responsibilities Conduct comprehensive market research on AI product trends, competitive analysis, and emerging opportunities across industries Assist in developing AI product roadmaps, feature specifications, and user journey mapping using data-driven insights Support cross-functional collaboration between engineering, data science, and design teams for AI-powered product development Analyze user feedback, behavioral data, and performance metrics to optimize AI product features and user experience Participate in MVP development, A/B testing design, and prototype validation for generative AI applications Document product requirements, create user stories, and maintain product backlogs using agile methodologies Present research findings and product insights through structured demos and stakeholder presentations Required Qualifications Must-Haves Bachelor s degree in Business, Computer Science, Engineering, or related field (final year students or recent graduates) Strong analytical and problem-solving skills with experience in data analysis and market research methodologies Understanding of AI/ML fundamentals including machine learning concepts, model evaluation, and data pipelines Proficiency in product management tools such as Jira, Figma, or similar platforms for roadmap development Excellent communication skills with ability to translate technical concepts for non-technical stakeholders Nice-to-Haves Experience with generative AI platforms, prompt engineering, or large language model applications Knowledge of user research methodologies, UX design principles, and customer journey mapping Familiarity with SQL, Python, or analytics platforms like Google Analytics and Mixpanel Previous internship experience in product management, consulting, or technology roles Understanding of AI ethics, responsible AI practices, and bias evaluation frameworks Learning Outcomes and Development Gain hands-on experience with AI product lifecycle management from ideation to launch using industry-standard methodologies Develop expertise in AI product strategy, feature prioritization, and cross-functional team leadership through mentorship Master modern product management tools and frameworks specifically designed for AI-driven products and services Build comprehensive understanding of AI market dynamics, user behavior analysis, and data-driven decision making Access to cutting-edge AI product development projects with exposure to real customer feedback and business impact Enhanced presentation and stakeholder management skills through regular product demos and strategic planning sessions This unpaid internship represents a collaborative knowledge-sharing opportunity in the transformative field of AI product management. Outstanding performers will be considered for full-time positions based on strategic thinking, analytical capabilities, and demonstrated impact on product outcomes. Duration: 6 months Hours: 09:00 AM to 06:00 PM (Monday to Friday) Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)
Qualification AI RD Department Role Overview Join our ML engineering team to explore cutting-edge machine learning technologies, develop scalable AI solutions, and contribute to real-world applications. This collaborative learning opportunity focuses on end-to-end ML pipeline development, model deployment, and production system optimization. Key Responsibilities Design, develop, and optimize machine learning models using Python, TensorFlow, PyTorch, and scikit-learn frameworks Build and maintain robust ML pipelines from data preprocessing through model deployment and monitoring Conduct data analysis, feature engineering, and statistical validation to ensure high-quality model performance Implement model evaluation frameworks and A/B testing infrastructure for continuous improvement Collaborate with cross-functional teams including data scientists, software engineers, and product managers Deploy ML models to production environments using Docker, Kubernetes, and cloud platforms (AWS/GCP/Azure) Participate in code reviews, technical discussions, and contribute to research publications when applicable Required Qualifications Must-Haves Bachelor s or Master s degree in Computer Science, Machine Learning, Data Science, or related field (final year students or recent graduates) Strong programming proficiency in Python with experience in NumPy, Pandas, and machine learning libraries Solid understanding of machine learning algorithms including supervised/unsupervised learning, neural networks, and deep learning Knowledge of data structures, algorithms, and software engineering best practices Experience with version control systems (Git) and collaborative development workflows Nice-to-Haves Hands-on experience with deep learning frameworks like TensorFlow, PyTorch, or Keras Familiarity with MLOps practices, model deployment, and production monitoring systems Understanding of computer vision, natural language processing, or reinforcement learning applications Experience with cloud-based ML services and containerization technologies Previous internship experience or significant open-source contributions in ML/AI projects Learning Outcomes and Development Gain hands-on experience with end-to-end ML system development from research to production deployment Master industry-standard ML engineering tools, frameworks, and methodologies through mentorship from senior engineers Develop expertise in scalable ML infrastructure, model optimization, and performance monitoring techniques Build comprehensive understanding of real-world ML challenges including data quality, bias evaluation, and system reliability Access to cutting-edge research projects with potential for academic publications and conference presentations Enhanced collaboration skills through cross-functional team projects and regular technical presentations This unpaid internship represents a collaborative knowledge-sharing opportunity in the rapidly expanding field of machine learning engineering. Outstanding performers will be considered for full-time positions based on technical excellence, problem-solving abilities, and demonstrated impact on ML system development. Duration: 6 months Hours: 09:00 AM to 06:00 PM (Monday to Friday) Location: Ganesh Glory 11, Jagatpur, Ahmedabad, 382470 (Offline Internship)
Basic SEO Strategy & Learning Assist in developing and implementing basic on-page and off-page SEO strategies under senior guidance. Learn to use beginner-friendly AI-powered SEO tools (Mangools, Ubersuggest, SEOOptimer) to understand keyword research fundamentals and content gap analysis. Entry-Level Data Analysis & Reporting Learn to use Google Analytics, Google Search Console, and basic data visualization tools to track simple KPIs like organic traffic, bounce rate, and keyword rankings. Assist in preparing weekly performance summaries with guidance from senior team members. Technical SEO Basics & Site Maintenance Work with senior developers to understand basic technical SEO concepts including meta tags, XML sitemaps, and site speed optimization. Learn to use beginner tools like Google PageSpeed Insights and SEO Site Checkup to identify basic website issues. AI-Assisted Content & Optimization Learning Learn to use entry-level AI content tools (basic Jasper features, Copy.ai starter plans) to assist with content optimization while understanding E-A-T principles. Support content creation by learning keyword placement, heading optimization, and basic on-page SEO techniques. Learning & Development Focus Participate in SEO training programs and build foundational knowledge of search engine algorithms and ranking factors. Demonstrate eagerness to learn through tracking improvement in basic metrics like keyword rankings and organic traffic growth. Required Qualifications Education: Bachelor s degree in Marketing, Communications, IT, Computer Science, MCA, BBA, or related field Basic Technical Skills: Familiarity with Google Analytics and Google Search Console Basic understanding of major search engines and SEO fundamentals Willingness to learn beginner SEO tools like Mangools, Ubersuggest, or SEMrush Core Competencies: Strong analytical mindset with basic data interpretation skills Excellent written communication and willingness to learn content optimization Basic HTML/CSS understanding or willingness to learn Detail-oriented approach with good organizational skills Eagerness to stay updated with SEO trends and algorithm changes Preferred Skills: Basic knowledge of WordPress or other CMS platforms Understanding of digital marketing concepts Familiarity with Microsoft Excel for basic data analysis Customer service orientation for understanding user intent Learning Objectives: Develop proficiency in keyword research and basic competitive analysis Learn to identify and fix basic technical SEO issues Understand link building fundamentals and outreach basics Build skills in SEO reporting and performance tracking This entry-level position offers comprehensive mentorship and structured learning opportunities to develop expertise in modern SEO practices, AI-enhanced optimization tools, and data-driven strategies while working under experienced SEO professionals.
Content Creation & Basic Strategy Support Assist in developing platform-specific content for LinkedIn, Twitter (X), Facebook, Instagram, and Reddit under senior supervision. Support content calendar creation and learn to use social listening tools (Sprout Social, Hootsuite) to understand audience preferences and trending topics. Entry-Level AI Tool Learning Learn and practice with basic AI content tools (Jasper, Copy.ai) to assist in content creation and optimization. Gain hands-on experience with scheduling platforms and basic analytics to understand post performance and engagement patterns. Creative Content Development Support creative campaign initiatives including polls, carousels, and basic video content creation. Assist with user-generated content collection and basic influencer outreach under guidance from senior team members. Community Engagement & Learning Learn community management fundamentals by monitoring and responding to comments, messages, and mentions within established guidelines. Participate in live events and community engagement activities to build practical experience in audience interaction. Performance Tracking & Reporting Learn to use Google Analytics, Meta Insights, and platform dashboards to track basic metrics like likes, shares, comments, and follower growth. Assist in preparing weekly performance summaries and learn to identify successful content patterns. Collaboration & Skill Development Work closely with design, marketing, and senior social media team members to understand campaign alignment and brand consistency. Stay updated on 2025 social media trends, platform updates, and emerging tools through continuous learning and training sessions. Required Qualifications Education: Bachelor s degree in Any Stream Technical Skills: Basic familiarity with major social media platforms (Facebook, Instagram, Twitter, LinkedIn, TikTok) Learning Aptitude: Willingness to learn social media management tools like Buffer, Hootsuite, or Sprout Social Core Competencies: Strong written communication and basic copywriting skills Creative mindset with attention to detail Eagerness to learn AI content tools and analytics platforms Team collaboration and ability to take direction Time management and organizational skills Preferred Skills: Basic understanding of content creation (graphics, video editing) Familiarity with design tools (Canva, basic Photoshop knowledge) Social media analytics awareness Customer service orientation for community management This entry-level position offers comprehensive training and mentorship opportunities to develop expertise in social media marketing, AI-driven tools, and digital engagement strategies while working under experienced professionals.