Graphic Designer

Job Description Key Responsibilities: Design high-quality creatives for digital platforms, including social media, websites, ads, emailers, and presentations. Develop brand guidelines, infographics, and marketing materials. Generate concept drafts, graphics, stories, and assets using AI tools/features. Collaborate with marketing, product, and content teams to deliver visually compelling assets. Work on UI/UX design elements for web and mobile interfaces. Create visual storyboards and layouts for videos and motion graphics. Creative prompt crafting and iterative refinement for generating high-quality images, textures, or layouts for social, web, and campaigns. Ensure consistency in design across websites, presentations, social media handles, and all other channels and maintain brand aesthetics. Manage multiple design projects under tight deadlines. Requirements Requirements: Ability to translate technical concepts and information into creative ideas like banners, infographics, post graphics, memes, GIFs, and more. Proficiency in Canva, Figma, and Adobe Creative Suite (Photoshop, Illustrator, InDesign, etc). Solid understanding of responsive design principles, color theory &  psychology, typography , accessibility needs, layout, and design best practices. Ability to take ownership of design projects from concept to execution. Apply a mobile-first design mindset for responsive experiences and develop scalable and reusable design components. Create wireframes, interfaces, and micro-interactions using Figma. Strong portfolio demonstrating creative thinking and technical skills. Attention to detail and ability to take feedback constructively. Good time management, responsiveness, and organizational skills. Good to Have: Proficiency in CorelDRAW including 3D mockups. Experience in motion graphics or video editing - worked on video storyboarding, AI scene generation, transitions, and branded intros/outros for campaigns, reels, promotional content, presentations, and training content. Awareness of React framework principles to better align design handoffs with front-end implementation Experience working in fast-paced/startup environments. Benefits We foster a culture that values: Openness to learn and share knowledge Out-of-the-box thinking and creativity Responsibility and ownership at every level Collaboration across cultures and time zones Personal and professional growth alongside company growth Requirements Educational Background: Bachelor's and Master’s degrees in Data Science, Computer Science, Statistics, or a related field. Technical Skills: Proficient in Python and familiar with key data science libraries (Pandas, Scikit-Learn, TensorFlow, or PyTorch). Strong understanding of all complex machine learning algorithms not limited to decision trees, random forests, and gradient boosting machines. Competence in data preprocessing, cleaning, and analysis. Familiarity with data cleaning, transformation, and preprocessing techniques. Experience with SQL and possibly some NoSQL databases for data querying and manipulation. Basic knowledge of data visualization tools like Matplotlib and Seaborn. Strong skills in SQL for data extraction, and the ability to work with complex database systems. Advanced knowledge of analytical tools and software such as Excel, Tableau, or more specialized software depending on the industry (e.g., SAS, SPSS). Experience with data visualization and the ability to create interactive dashboards. Vast knowledge of NLP, Deep Learning, Machine Learning , Knowledge of genAI with implementation knowledge (LLM, fine tuning RAG implementation) and many more. Familiarity with cloud services (AWS, Azure, Google Cloud) for data processing and storage.. Professional Experience: 2-3 years of experience in a data science or related role. Proven track record of developing and deploying machine learning models to solve business problems. Experience in projects that involve complex data structures and large-scale datasets. Exposure to model validation and implementation in a production environment. Demonstrated experience in analyzing large datasets and delivering actionable insights. Proven track record of effectively communicating findings to help inform business decisions. Experience in performing statistical analysis, forecasting, and establishing data structures that optimize analytical capabilities. Soft Skills: Strong problem-solving skills with a capability to work through complex issues using a logical and analytical approach. Good communication skills to effectively articulate insights and technical details to non-technical stakeholders. Ability to work collaboratively in team settings and manage project timelines effectively. Strong attention to detail with the capability to work on multiple projects simultaneously. Effective communication skills, capable of presenting complex information in an understandable and compelling manner. Collaboration skills to work effectively with both technical teams and business units.