Freelance Opportunity : Senior AI / ML Engineer (AWS MLOps & Data Pipelines)

ThreatXIntelvijayapura, rajasthan, in

17 hours ago

Job description

Company Description

ThreatXIntel is a startup cybersecurity company dedicated to protecting businesses from evolving cyber threats. We specialize in cloud security, web and mobile security testing, DevSecOps, and tailored cybersecurity assessments to meet the unique needs of our clients. By offering cost-effective solutions, we empower organizations of all sizes to secure their digital environments and minimize vulnerabilities. Our proactive approach includes continuous monitoring and testing to safeguard our clients’ digital assets, allowing them to focus on business growth with confidence. At ThreatXIntel, we strive to deliver exceptional service and peace of mind to businesses navigating the complexities of cybersecurity.

Role Description

We're seeking a highly skilled AI / ML Engineer with strong experience in AWS, MLOps, and scalable data pipeline development . This freelance role is ideal for someone with deep expertise in building and managing production-grade ETL and ML pipelines , collaborating with data scientists, and deploying ML models using AWS services like SageMaker .

You will be responsible for designing and operationalizing end-to-end machine learning workflows , ensuring that models are production-ready, monitored, scalable, and fully integrated with data sources.

Key Responsibilities

Design, build, and optimize complex data pipelines using modern ML engineering best practices for scalability and reliability
Develop and maintain MLOps pipelines for deploying, monitoring, and managing ML models in production
Implement robust ETL workflows using AWS services and Python-based frameworks
Collaborate with data scientists to validate model-ready datasets and features
Perform exploratory data analysis (EDA) on raw datasets and ensure quality and lineage
Track data pipeline performance, diagnose issues, document assumptions, and ensure resilience
Partner with business units to understand needs and translate them into scalable solutions
Develop and maintain model monitoring scripts, respond to alerts, and ensure timely issue resolution

Required Skills & Experience

8–10 years of overall experience in AI / ML engineering , data engineering , or related fields

Minimum 7+ years in AI / ML or data engineering , and 3+ years building ETL pipelines using AWS services

Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn)

Proven expertise working with AWS cloud services (SageMaker, Lambda, Glue, Step Functions, S3, etc.)

Solid understanding of the Machine Learning Development Lifecycle (MDLC) and MLOps practices

Experience managing production-grade ML models and designing event-driven data workflows

Knowledge of software engineering principles including version control, CI / CD, testing, and security

Nice to Have

Master's degree in computer science, data science, or a related field

Experience with container orchestration (Kubernetes, EKS)

Exposure to model explainability or ethical AI practices

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Senior Ai Ml Engineer • vijayapura, rajasthan, in