Job Title Graphic Designer- Intern Pay Scale- 10000-15000 Purpose of Role: ● As a Graphic Designer, you will be responsible for creating visually appealing and effective designs to communicate messages through various mediums. Key Responsibilities ● Generate creative ideas and concepts for design projects. ● Develop visual mock-ups and prototypes based on project requirements. ● Design graphics, illustrations, and layouts for print and digital media. ● Collaborate with clients, project managers, and other team members to understand design needs and objectives. ● Communicate design ideas and concepts effectively to stakeholders. ● Incorporate feedback and make revisions to designs as necessary. ● Use design software such as Adobe Creative Suite (Photoshop, Illustrator, and InDesign) to create high-quality designs. ● Produce designs for various mediums including advertisements, brochures, websites, social media, and other marketing materials. ● Ensure designs are visually appealing, on-brand, and aligned with project requirements and objectives. ● Stay updated on design trends, techniques, and technologies. ● Conduct research to gather inspiration and insights for design projects. ● Prioritize tasks and allocate time effectively to ensure timely completion of projects. ● Coordinate with team members and stakeholders to ensure smooth project workflow. Skill/ Experience: ● Bachelor’s degree in Graphic Design or related field. ● Minimum 0-1 years of experience as a Graphic Designer or similar role. ● Proficiency in design software such as Adobe Creative Suite (Photoshop, Illustrator, InDesign). ● Attention to detail and ability to multitask. ● Knowledge of design principles, typography, and colour theory. ● Ability to adapt to changing priorities and tight deadlines. Interested candidate can send their resume on 7007852358 or apply here. Job Type: Internship Contract length: 6 months Pay: ₹12,000.00 - ₹15,000.00 per month Benefits: Paid sick time Work Location: In person
For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person
For 3–5 Years Experience – Mid-Level AI/ML Engineer / Data Scientist 1. Core Technical Skills Python (NumPy, Pandas, Scikit-learn, Matplotlib/Seaborn, beautifulsoup, selenium) SQL(MySQL/PostgreSQL), Mongo DB, NLP, Computer Vision, RAG, Vector DBs, LLMs, Agentic AI, Neural Network, RNN, CNN, LSTMs, web scraping. ML algorithms: regression, decision trees, random forests, XGBoost, SVM, KMeans, DBSCAN, etc. Model evaluation: cross-validation, precision/recall, ROC-AUC, confusion matrix 2. AI/ML Frameworks Scikit-learn, TensorFlow or PyTorch Keras Familiar with pre-trained models (e.g., BERT, ResNet, Stable Diffusion) and transfer learning 3. Practical Experience Building and deploying end-to-end ML pipelines Experience with REST APIs or Flask/FastAPI-based model deployment Version control with Git 4. Data Handling Data preprocessing, feature engineering Experience with structured, semi-structured data and unstructured data Data visualization (Power BI, Tableau, or Python libs) 5. Cloud & DevOps Basics Working knowledge of AWS/GCP/Azure (S3, Lambda, SageMaker or equivalent) Docker CI/CD understanding 6. Soft Skills Good documentation practices Able to explain ML models to non-tech stakeholders Cross-functional collaboration experience Job Types: Full-time, Permanent Pay: ₹450,000.00 - ₹650,000.00 per year Work Location: In person