Job Title

Company DescriptionThreatXIntel is a startup cyber security company dedicated to protecting businesses and organizations from cyber threats. The company offers services in cloud security, web and mobile security testing, cloud security assessment, DevSecOps, and more. ThreatXIntel takes a proactive approach to security by continuously monitoring and testing clients' digital environments to identify vulnerabilities before they can be exploited.Role DescriptionWe are seeking a highly experienced Freelance GenAI & Machine Learning Engineer to design, develop, and deploy advanced ML and GenAI solutions using Amazon Bedrock, SageMaker, and other AWS-native services. This role is ideal for someone who has extensive experience in both traditional machine learning and large language model (LLM) integration, and who thrives in production-focused, scalable environments.You will be responsible for end-to-end development and deployment of machine learning solutions, including prompt engineering, LLM orchestration, MLOps pipelines, CI/CD integration, and post-deployment support. The ideal candidate has a strong background in Python development, statistical modeling, and experience with GenAI use cases on AWS.Key ResponsibilitiesDesign, develop, and deploy ML and GenAI solutions using Amazon Bedrock and foundation models such as Claude, Titan, Llama2, Jurassic, and MistralDevelop and fine-tune prompts for LLMs tailored to specific business use casesBuild and optimize traditional ML models (e.g., regression, decision trees, ensemble methods) using Scikit-learn, TensorFlow, or PyTorchIntegrate ML pipelines into AWS-native architecture, including SageMaker, Lambda, API Gateway, and S3Collaborate with cross-functional teams (software engineers, data engineers, product managers) to ensure seamless delivery of ML-based featuresImplement CI/CD practices, testing, and monitoring for ML model deployment and versioningProvide post-implementation support including debugging, performance tuning, and iterative improvementSupport integration of Bedrock-based solutions with custom applications, APIs, analytics layers, and dashboardsMentor junior developers and contribute to architectural decision-making for GenAI systemsRequired Skills5+ years of experience in machine learning engineering with hands-on deployment in productionProven experience using Amazon Bedrock with multiple foundation models (Claude, Titan, Llama2, etc.)Hands-on experience with LLM integration, prompt engineering, and fine-tuningProficiency in Python for ML development and use of libraries like Scikit-learn, TensorFlow, or PyTorchSolid statistical background with experience in hypothesis testing, confidence intervals, and model evaluationStrong knowledge of MLOps practices, including CI/CD, model versioning, and production monitoringFamiliarity with AWS services: SageMaker, Lambda, API Gateway, S3, IAMExperience with debugging and performance tuning of deployed ML models(Optional) Experience with dashboarding and visualization tools like Tableau(Optional) Experience in API integration in serverless/containerized environments