Qureos Mentor

Quantum AI Systems

Job Summary: The Data Engineer will be responsible for designing, building, and maintaining robust data pipelines and ETL workflows to ensure efficient data flow across systems. This role focuses on enabling reliable and scalable data infrastructure to support analytics, ML, and business intelligence initiatives.Key Responsibilities:<ul><li>Develop and maintain scalable ETL/data pipelines to process structured and unstructured data.</li><li>Optimize data storage and retrieval across databases and cloud data warehouses.</li><li>Collaborate with data scientists and analysts to ensure data availability and quality.</li><li>Implement data validation, transformation, and integration across multiple sources.</li><li>Monitor and improve data pipeline performance and reliability.</li></ul>Required Skills &amp; Qualifications:<ul><li>Proficiency in SQL and Python for data manipulation and automation.</li><li>Experience with cloud data platforms (AWS Redshift, Google BigQuery, Azure Synapse, etc.).</li><li>Strong understanding of data modeling, data warehousing, and ETL frameworks.</li><li>Experience with workflow orchestration tools (Airflow, Prefect, or Luigi) is a plus.</li><li>Bachelor&rsquo;s degree in Computer Science, Data Engineering, or related field.</li></ul>Job Types: Full-time, Contractual / TemporaryPay: From &#8377;800,000.00 per yearExperience:<ul><li>data engineering: 4 years (Required)</li><li>ETL: 4 years (Required)</li><li>Cloud computing: 4 years (Required)</li><li>Data Pipelines: 4 years (Required)</li></ul>Work Location: Remote

Data Engineer

Job Summary: The AI/ML Engineer will design, develop, and deploy advanced machine learning models and intelligent systems to solve complex business problems. The role involves working with large datasets, performing data preprocessing, experimenting with algorithms, and optimizing models for performance and scalability.Key Responsibilities:<ul><li>Design, implement, and deploy end-to-end machine learning solutions.</li><li>Perform data collection, cleansing, transformation, and feature engineering.</li><li>Train, validate, and optimize ML/DL models for production use.</li><li>Collaborate with data scientists and engineers to integrate models into applications.</li><li>Monitor model performance and retrain as necessary to maintain accuracy.</li><li>Stay updated with emerging AI technologies and frameworks.</li></ul>Required Skills &amp; Qualifications:<ul><li>Strong proficiency in Python and ML frameworks such as TensorFlow or PyTorch.</li><li>Solid understanding of machine learning algorithms and deep learning architectures.</li><li>Experience with cloud ML platforms (AWS Sagemaker, Azure ML, or Google Vertex AI).</li><li>Familiarity with version control, CI/CD pipelines, and model deployment practices.</li><li>Bachelor&rsquo;s or Master&rsquo;s in Computer Science, AI/ML, Data Science, or related field.</li></ul>Job Types: Full-time, Contractual / TemporaryPay: From &#8377;600,000.00 per yearExperience:<ul><li>AI and ML: 4 years (Required)</li><li>Python, TensorFlow/PyTorch: 4 years (Required)</li><li>Cloud ML services: 4 years (Preferred)</li></ul>Work Location: Remote

AI/ML Engineer

Join Quantum AI Systems and explore 2   exciting career opportunities. They're hiring for various roles with options for remote or on-site work. Apply today and become part of their innovative team.

Quantum AI Systems

ABOUT_COMPANY

Data Engineer

AI/ML Engineer