To develop LLM-driven products from the ground up. We are looking for enthusiastic members who would like to design cutting-edge systems and implement AI solutions that scale globally. Strong communication skills Problem-solving abilities Strong programming background Understanding of Transformer architecture Required Qualifications : 3+ years of hands-on experience in AI/ML, with proven projects using Transformers (e.g., BERT, GPT, T5, ViTs, Small LLMs) Strong proficiency in Python and deep learning frameworks (PyTorch or TensorFlow) Ability to independently analyze open sources and code repositories Experience in fine-tuning Transformer models for NLP (e.g., text classification, summarization) or Computer Vision (e.g., image generation, recognition) Knowledge of GPU acceleration, optimization techniques, and model quantization Experience in deploying models using Flask, FastAPI, or cloud-based inference services Familiarity with data pre-processing, feature engineering, and training workflows

Design, develop, and maintain scalable ETL/ELT pipelines. Build and optimize data warehouses, data lakes, and real-time streaming solutions. Collaborate with cross-functional teams to define data requirements and ensure data accuracy and consistency. Develop and maintain database structures and schemas for efficient data storage and retrieval. Optimize data workflows for performance, reliability, and scalability. Implement data security, governance, and compliance best practices. Monitor, troubleshoot, and improve data pipelines to ensure uptime and reliability. Automate data-related processes to improve efficiency and reduce manual intervention. Required Qualifications : Excellent communication skills 5+ years of experience / 3 -4 years of experience as a Data Engineer. Proficiency in SQL and database management (PostgreSQL, MySQL, SQL Server, etc.). Experience with ETL tools such as Pentaho, Talend, Cdata and SSIS Exposure to Python, Java, or Scala for data processing is a plus Experience with big data technologies such as Apache Spark, Hadoop, or Kafka. Familiarity with cloud services (AWS, Azure) and data storage solutions like S3, Redshift, Snowflake, or BigQuery. Knowledge of data modeling, warehousing concepts, and data architecture best practices. Experience working with APIs and data integration. Strong problem-solving skills and ability to work with large, complex datasets.

Job Description : UX Design : Conducting basic research, wireframing, creating Figma mockups, and improving user experience. Designing website and web application mockups. Creating posters for hiring campaigns, festive greetings, and social media banners. Gathering and analyzing user feedback to improve designs. UI Design : Developing responsive web designs using HTML, CSS, and Bootstrap with following design coding standards Learning and working with SASS, Angular Material, MUI, React UI, and other UI frameworks used in projects. Creating interactive prototypes to demonstrate user flows. Collaboration : Working closely with developers to ensure design feasibility and consistency. Coordinating with stakeholders to align designs with business and user needs. Design Enhancements : Refining visuals, maintaining design standards, and ensuring usability. Ensuring UI/UX designs are optimized for all users, including accessibility compliance. Unit Testing QA : Testing UI components to ensure functionality and responsiveness. Identifying and resolving design-related issues in collaboration with the development team.