AI​/ML Engineer​/Remote

Job Description: AI/ML Engineer (Remote)

Are you a data perfectionist who believes that a model is only as good as the data that feeds it? Iconic IT Consulting Service LLC is seeking a remote AI/ML Engineer to spearhead a high-priority Data Integrity, Quality Assurance, and Cleansing Project.

In the world of enterprise AI, “Garbage In, Garbage Out” is the ultimate enemy. In this role, you will be the primary architect of a “Data Immune System.” You will design and deploy machine learning models specifically tasked with identifying anomalies, correcting inconsistencies, and ensuring the absolute integrity of massive datasets. This isn’t just a data cleaning role—it’s an engineering challenge to build automated, intelligent systems that guarantee data quality for high-stakes, real-time initiatives.

Your Technical & Data Mission

AI-Driven Data Cleansing & Integrity

• Anomaly Detection: Apply unsupervised machine learning algorithms to identify outliers, duplicates, and corrupted entries in large-scale datasets.

• Automated Remediation: Build models that don’t just find errors but suggest or execute automated corrections using NLP and pattern recognition.

• Integrity Pipelines: Design and implement “Quality Gates” within data pipelines to ensure that only verified, high-quality data reaches downstream models.

Engineering & Optimization

• Framework Implementation: Leverage Scikit-learn, TensorFlow, or PyTorch to build specialized classifiers for data validation.

• Data Engineering: Use Python and SQL to architect efficient ETL (Extract, Transform, Load) processes optimized for real-time data streams.

• Cross-Functional Insights: Collaborate with data scientists and business analysts to ensure the cleansed data aligns with the requirements of “high-priority” corporate initiatives.

QA & Reproducibility

• Validation Frameworks: Establish rigorous Quality Assurance (QA) metrics to track data health and model accuracy over time.

• Scalable Solutions: Ensure your AI solutions are robust enough to handle the velocity and variety of real-time data projects.

What You Bring to Iconic IT

• Experience: Proven track record as an AI/ML Engineer, with a specific focus on data engineering or data quality projects.

• Technical Stack: Proficiency in Python and standard ML frameworks (Scikit-learn, PyTorch, or TensorFlow).

• Data Mastery: Strong background in data analysis, SQL, and managing large, complex datasets.

• Problem-Solving: An analytical mindset capable of diagnosing systemic data issues and designing automated fixes.

• Soft Skills: Excellent communication skills to work effectively with distributed, cross-functional teams.

Job Overview Data