Freelance Opportunity : AI / Machine Learning Engineer

Company Description

ThreatXIntel is a startup specializing in providing cybersecurity solutions tailored to protect businesses and organizations from various cyber threats. With expertise in cloud security, web and mobile security testing, cloud security assessments, and DevSecOps, ThreatXIntel is dedicated to delivering customized, affordable services. We prioritize proactive approaches, monitoring and addressing vulnerabilities to safeguard the digital environments of our clients. Our mission is to empower businesses of all sizes with top-notch cybersecurity, enabling them to focus on growth and innovation with confidence and peace of mind.

Role Description

We are seeking a highly skilled Freelance AI / Machine Learning Engineer with strong experience in ML engineering, MLOps, and cloud-native data pipeline development. The ideal consultant will have deep expertise in Python, AWS cloud services, ML model deployment, and end-to-end machine learning lifecycle management. This role involves designing scalable ML pipelines, productionizing models, performing exploratory analysis, and ensuring high-quality data workflows.

Key Responsibilities

• Design, develop, and optimize complex data pipelines using ML engineering best practices for scalability and performance.
• Build and maintain MLOps pipelines to support model deployment, monitoring, retraining, and lifecycle management.
• Implement ETL / ELT workflows using AWS services (Glue, Lambda, Step Functions, S3, EMR, etc.).
• Develop end-to-end machine learning pipelines including data ingestion, feature engineering, model training, and inference.
• Work closely with data scientists to validate datasets, refine features, and ensure ML-ready data assets.
• Conduct exploratory data analysis (EDA) on raw data sources, identify anomalies, and derive actionable insights.
• Track data lineage , perform root cause analysis, and resolve data quality or pipeline issues.
• Use AWS SageMaker and other ML platforms to build, deploy, and manage production ML systems.
• Monitor models in production, investigate alerts, and develop scripts / tools for ongoing model health checks.
• Collaborate with cross-functional teams to translate business processes into scalable AI / ML solutions.
• Follow best practices across software engineering—testing, version control, CI / CD, security, and documentation.

Essential Skills

Nice to Have

Ideal Candidate Profile