AI/ML Engineer

As a Senior Developer at MarsDevs, your role will involve designing and optimizing large-scale data pipelines using PySpark, building, training, and deploying Machine Learning and Generative AI models, writing and optimizing complex SQL queries, architecting and managing Data Warehouses, working with Microsoft Fabric for data integration and analytics, partnering with cross-functional teams to deliver AI-driven solutions, and ensuring high standards of data quality, governance, and security. Key Responsibilities: - Design and optimize large-scale data pipelines using PySpark. - Build, train, and deploy Machine Learning and Generative AI models. - Write and optimize complex SQL queries for large datasets. - Architect and manage Data Warehouses for scalability and performance. - Work with Microsoft Fabric for data integration and analytics. - Partner with cross-functional teams to deliver AI-driven solutions. - Ensure high standards of data quality, governance, and security. Qualifications Required: - 6-8 years of experience in Data Engineering, ML, or AI development. - Strong hands-on experience with PySpark. - Proven expertise in Machine Learning and Generative AI frameworks. - Advanced-level proficiency in SQL (query tuning, optimization). - Experience in Data Warehousing (ETL/ELT, architecture, optimization). - Familiarity with Microsoft Fabric or similar platforms. - Excellent problem-solving and collaboration skills. Additional Company Details: MarsDevs is a remote-first, offshore digital product development company specializing in building MVPs, mobile and web applications, and SaaS products for startups and SMBs. Their services include systematic project analysis, UI/UX design, technical consulting, application deployment, and ongoing support. With a successful track record of delivering over 60 solutions across 10 countries and 12 industry verticals in the last four years, MarsDevs is committed to delivering high-quality code and long-lasting technical architectures. Education: Bachelors or Masters in Computer Science, Data Science, Engineering, or a related field.,