Andiamo ยท 2 hours ago
Machine Learning Engineer - AI Decision Intelligence Platform
Andiamo is a globally recognized staffing and consulting firm specializing in technology placements. They are seeking a Machine Learning Engineer to design and implement data pipelines and workflows that power production AI applications, while collaborating with analysts and product leaders to ensure data accuracy and usability.
ConsultingHuman ResourcesInformation TechnologyStaffing Agency
Responsibilities
Design and implement data pipelines and machine learning workflows that power production AI applications
Improve data access strategies to maximize performance, scalability, and reliability across systems
Partner with analysts, product leaders, and domain experts to ensure data accuracy and a trusted source of truth
Own the end to end data and model lifecycle, from ingestion and transformation through inference and downstream processing
Identify and resolve performance bottlenecks to ensure responsive and stable user experiences
Build interactive dashboards and analytical views using Python based SDKs to translate complex data into clear insights
Architect applications that balance robustness, usability, and future scalability
Work closely with product and design partners to continuously improve usability and overall product quality
Qualification
Required
Bachelor's degree in Computer Science or a related discipline, or equivalent professional experience in software engineering
Active U.S. Secret clearance with the ability and willingness to obtain a TS SCI clearance
Comfort working in secure environments including on site work in SCIF locations as required
Strong written and verbal communication skills with the ability to explain technical concepts clearly
Experience collaborating with stakeholders to define, organize, and validate data requirements
Hands on experience designing data models and managing data pipelines
Experience working with diverse data sources including structured, semi structured, and unstructured data
Demonstrated success deploying software and machine learning systems into production environments
Advanced proficiency in Python and the modern Python data ecosystem
Experience with large scale data platforms and processing frameworks such as Spark, Databricks, or Snowflake
Familiarity with data and model configuration management practices
Working knowledge of containerization, orchestration, and version control tools
Strong problem solving skills paired with a high degree of ownership and accountability
Preferred
Experience with workflow orchestration or scheduling tools used in data and machine learning systems
Exposure to backend or data focused web frameworks or rapid application development tools for analytics
Benefits
Highly competitive compensation including salary, bonus, and equity based on experience
Comprehensive health benefits covering medical, dental, and vision needs