Data Scientist L1 | IITs, NITs, IIITs, or those with relevant Master’s and Ph.D. degrees. - 6 Positions

**Job Description:** As a Data Engineer at EveoAI, you will be responsible for handling and optimizing our data infrastructure, ensuring efficient data processing and integration. You will work closely with our AI/ML engineers and data analysts to support the development of our domain-specific LLM and other AI-driven features. **Required Skills & Qualifications** * Strong proficiency in Python, SQL, and data analysis libraries (Pandas, NumPy, Scikit-learn). * Experience with data preprocessing, feature engineering, and machine learning workflows. * Knowledge of data warehousing, ETL pipelines, and database systems. * Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Familiarity with big data technologies (Spark, Hadoop, Databricks) is a plus. * Understanding of data governance, data quality frameworks, and security best practices. * Strong analytical, problem-solving, and communication skills. **Key Responsibilities:** * **Data Management:** Manage and maintain large datasets and data warehouses, ensuring data integrity and availability. * **Data Mining:** * Extract information from diverse sources, including databases, documents, and external APIs. * Employ advanced data mining techniques to discover hidden patterns. * **Data Cleaning:** Perform data cleaning and preprocessing to ensure high-quality data for analysis and model training. * Design and implement data cleaning and preprocessing workflows. * Detect and resolve missing, duplicate, inconsistent, and corrupted data. * Establish data validation, quality assurance, and monitoring processes. * Maintain data integrity and accuracy across all datasets. * **ETL/ELT Processes:** Design, develop, and maintain efficient ETL/ELT pipelines to support data ingestion, transformation, and loading. * **Collaboration:** Work closely with AI/ML engineers and data analysts to understand data requirements and deliver solutions that meet their needs. * **Performance Optimization:** Continuously monitor and optimize data processes for performance, scalability, and reliability. * **Documentation:** Maintain comprehensive documentation of data processes, pipelines, and infrastructure. **Feature Engineering & Development** * Design, create, and optimize features for machine learning and AI applications. * Perform exploratory data analysis (EDA) to identify predictive patterns and relationships. * Build reusable feature stores and feature transformation pipelines. * Continuously improve feature quality and model performance through experimentation. **Data Management & Governance** * Develop and maintain scalable data architecture and data management systems. * Implement data cataloging, metadata management, and version control practices. * Define data governance standards, policies, and documentation. * Ensure compliance with privacy, security, and regulatory requirements. **Machine Learning & AI Support** * Prepare datasets for model training, validation, and testing. * Work closely with AI/ML engineers to optimize data pipelines and model inputs. * Monitor model performance and identify data-related improvement opportunities. * Support model retraining and continuous learning initiatives. **Analytics & Insights** * Analyze large datasets to identify trends, patterns, and business opportunities. * Develop dashboards, reports, and data visualizations for stakeholders. * Present findings and recommendations to technical and non-technical teams. * Translate business problems into data-driven solutions. **Data Infrastructure & Automation** * Build scalable ETL/ELT pipelines and automated workflows. * Optimize database performance and data storage solutions. * Work with cloud-based data platforms and big data technologies. * Support deployment and monitoring of production data pipelines. **Qualifications:** * **Educational Background:** Bachelor’s degree in Computer Science, Engineering, or a related field from IITs, NITs, IIITs, or equivalent. Relevant Master’s or Ph.D. degrees are also considered. * **Technical Skills:** Proficiency in SQL and experience with database management systems (e.g., MySQL, PostgreSQL). Knowledge of data warehousing concepts and tools. * **Programming Skills:** Experience with programming languages such as Python or Java for data processing tasks. * **Data Processing:** Familiarity with ETL/ELT tools and frameworks (e.g., Apache Airflow, Talend). * **Problem-Solving:** Strong analytical and problem-solving skills, with attention to detail. * **Collaboration:** Excellent communication and teamwork skills, with the ability to work effectively in a collaborative environment. **Preferred Qualifications:** * Experience with cloud platforms (e.g., AWS, Google Cloud, Azure) and their data services. * Knowledge of big data technologies (e.g., Hadoop, Spark). * Understanding of data security and privacy best practices. **What We Offer:** * Innovative Environment: Work on cutting-edge AI and AR technologies in a dynamic and fast-paced environment. * Career Growth: Opportunities for professional development and career advancement. * Collaborative Culture: Join a passionate and collaborative team committed to innovation and excellence.