Job Description We are looking for a Digital Marketing Intern to join our team and gain real-time experience by working on live projects related to SEO, content marketing, social media, and paid advertising. This role is ideal for someone eager to learn and grow in the digital marketing field. Responsibilities: ✅ Conduct keyword research and SEO optimization for blogs and website content. ✅ Be actively involved in SEO efforts (On page & Off page) ✅ Assist in creating and executing social media marketing strategies. ✅ Manage and grow engagement on platforms like Instagram, Facebook, YouTube, LinkedIn and Quora. ✅ Work on live projects and gain hands-on experience in digital marketing campaigns. ✅ Create and schedule content for social media and marketing campaigns. ✅ Analyze campaign performance and generate reports. ✅ Research trending topics and marketing trends to enhance strategy. Requirements Basic knowledge of SEO, social media marketing, and content marketing. Familiarity with tools like Google Analytics, Facebook Ads, and Canva is a plus. Strong writing and communication skills. Creative mindset with the ability to generate engaging content. Ability to work in a team-oriented environment. Passion for digital marketing and an eagerness to learn. Requirements Qualifications Proficiency in C# Experience in using HTML5, CSS core Experience in developing ASP.NET MVC | ASP.NET Core MVC applications Proficient knowledge in Web API | ADO.NET | MSSQL Server | MySQL | other RDBMS Database design including indexes and data integrity Familiarity with the client-side framework jQuery, JavaScript, other Understanding and usage of XML, JavaScript (JS), Object-Oriented Programming Concepts (OOPS), AJAX, LINQ, Bootstraps Show more Show less

Abstract: Job Description A Machine Learning (ML) Developer is an expert in applying advanced AI/ML algorithms and techniques to solve complex problems, including building, training, and deploying machine learning models. This role focuses on creating and optimizing systems to automate processes such as image classification, speech recognition, market forecasting, and large language model (LLM) fine-tuning. Roles & Responsibilities Machine Learning Development: Design, build, train, and fine-tune machine learning and deep learning models, particularly in the context of large language models (LLMs). Data Pipeline Creation: Develop and manage efficient data pipelines for data preprocessing and feature engineering. MLOps Implementation: Create CI/CD pipelines to automate the deployment, monitoring, and updating of ML models in production environments. LLM Fine-Tuning: Fine-tune LLMs for specific applications and domains, leveraging frameworks like Hugging Face and open-source LLMs. Model Evaluation: Regularly evaluate model performance, accuracy, and reliability using statistical and computational techniques. Collaboration: Work in an Agile environment with cross-functional teams to integrate ML solutions into larger systems. Framework Utilization: Utilize machine learning frameworks such as TensorFlow, PyTorch, or Keras to develop scalable solutions. Data Management: Manage large datasets, ensure data quality, and design robust preprocessing pipelines. AI/ML Research: Stay updated on the latest advancements in AI/ML algorithms, tools, and techniques to implement cutting-edge solutions. Requirements Programming and Frameworks Fundamentals of SQL FastAPI framework PyTorch framework MMDetection framework Parallel Processing and Optimization Techniques for parallel execution and data processing Image and Data Processing Optical Character Recognition (OCR) Data processing and image manipulation Deep Learning Concepts Basics of neural networks and optimizers Convolutional Neural Networks (CNN) Region-based Convolutional Neural Networks (RCNN) Advanced AI and LLMs Prompt engineering principles Retrieval-Augmented Generation (RAG) using the LangChain framework Open-source Large Language Models (LLMs) MLOps and Deployment MLOps practices, including: MLflow Docker CI/CD pipelines GitLab Benefits 5-day working company. Quarterly rewards based on roadmap achievements and customers’ success. 20 Yearly leaves. 14 National Holidays Off. Cross-team work culture. Career Development & Training Programs. Employee Referral Benefits. Birthday/Anniversary/Festival Celebrations. Compensatory Off Benefits. Paid half-day leaves on special occasions of Birthdays & anniversaries. Meals while working extra. Yearly day-outing activities. Yearly Achievement Awards. Show more Show less