MarsDevs - AI/ML Engineer - ETL/PySpark

Job Description

Company Description MarsDevs is a remote-first, offshore digital product development company, committed to delivering high-quality code and long-lasting technical architectures. We specialize in building MVPs, mobile and web applications, and SaaS products for startups and SMBs. Our services include systematic project analysis, UI/UX design, technical consulting, application deployment, and ongoing support. Based in India, MarsDevs has successfully delivered over 60 solutions across 10 countries and 12 industry verticals in the last four years. About The Role We are hiring a Senior Developer with strong expertise in PySpark, Machine Learning, Generative AI, SQL, Data Warehousing, and Microsoft Fabric. If youre passionate about building scalable data solutions and working on cutting-edge AI initiatives, this role is for you. 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. What Were Looking For 68 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. Nice To Have Cloud experience (Azure, AWS, or GCP). Exposure to MLOps and model deployment pipelines. Knowledge of BI/Visualization tools (Power BI, Tableau). Education Bachelors or Masters in Computer Science, Data Science, Engineering, or a related field. (ref:hirist.tech)