Sr. Data / M/L Engineer

Aquent is partnering with a leading organization dedicated to providing essential services and driving innovation within a critical industry. This organization is at the forefront of shaping the future through data-driven initiatives, transforming how crucial business decisions are made and significantly enhancing operational efficiency. Join a team where your expertise will directly contribute to a mission of vital importance, leveraging advanced technology and strategic vision to create tangible value.

Unleash Your Impact as a Senior Data / Machine Learning Engineer

Are you ready to be a pivotal force in leveraging vast datasets to drive strategic business decisions and enhance operational efficiency? We are seeking a dynamic and innovative professional to join our team and make a significant impact. In this role, you will design, build, and optimize advanced models, establish robust data infrastructure, and empower business teams with actionable insights. Your expertise will be crucial in transforming complex data into tangible value, directly contributing to our mission's success through advanced technology and strategic vision. You will be at the heart of our data evolution, building the foundations that power our future and influence critical operations.

What You'll Deliver

• Design, develop, and implement advanced analytical solutions that directly support critical business decisions and strategic initiatives.
• Apply sophisticated statistical and machine learning techniques to large datasets, delivering predictive and prescriptive analysis that informs and guides operational improvements.
• Build and optimize robust data pipelines and ETL frameworks, ensuring impeccable data quality, reliability, and availability across all systems.
• Collaborate seamlessly with cross-functional teams, translating business needs into data requirements and integrating innovative solutions that drive collective success.
• Develop and maintain interactive dashboards and comprehensive reports using leading Business Intelligence (BI) tools, empowering stakeholders with clear, actionable insights.
• Write and optimize complex SQL queries for efficient data extraction, manipulation, and analysis, ensuring high performance and accuracy.
• Manage and maintain critical data assets within relational and SQL databases, ensuring integrity and accessibility.
• Create comprehensive documentation for data processes, models, and tools, fostering knowledge sharing and maintainability.
• Contribute to full-stack development efforts, spanning both front-end user interfaces and robust back-end components, to deliver end-to-end data solutions.
• Establish and manage scalable data infrastructure, including strategic hardware considerations, compilers, and interpreters, to support evolving data demands.
• Apply advanced machine learning and artificial intelligence techniques to solve complex business problems, driving innovation and efficiency.
• Leverage your hardware experience to efficiently manage large datasets, develop high-performance data pipelines, and ensure reliable data processing across servers and cloud platforms.

Must-Have Qualifications

• Strong experience with SQL and comprehensive database management.
• Proven experience in designing and implementing robust data pipelines and ETL processes.
• Proficiency in machine learning and statistical modeling techniques.
• Hands-on experience with leading Business Intelligence (BI) tools.
• Demonstrated full-stack development knowledge.
• Experience with major cloud platforms.
• Strong understanding of data architecture, data modeling, and infrastructure setup.
• Ability to effectively work with and manage large-scale datasets.
• Solid programming experience (e.g., Python, R).
• Exceptional problem-solving and analytical skills, with a keen eye for detail.
• Bachelor's degree in Electrical Engineering or Computer Engineering.

Nice-to-Have Qualifications

• Experience with advanced AI and machine learning frameworks.
• Familiarity with big data technologies.
• Proven experience in setting up new environments and infrastructure from scratch.
• Knowledge of hardware and server configuration.
• Experience in complex, highly regulated industries.
• Familiarity with DevOps or data engineering tooling.