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ML Engineer | Data Scientist

Remote, USA Full-time Posted 2026-07-28
Title: ML Engineer / Data Scientist 100% Remote Duration: 6 Months Tax term: Contract to hire after 6 months with Critical River. Years of Experience: 10-15 Years reputed company: $80/Hr on W2 CR Internal Project Keywords search (reputed company years of experience with below in reputed company reputed company) Lang Chain, Lang Graph, RAG AWS (Bedrock, reputed company reputed company, reputed company, EKS/reputed company) MLflow, reputed company Job reputed company: We're seeking a ML Engineer / Data Scientist to architect reputed company AI solutions and own the full ML lifecycle-from reputed company-of-concept to production. You'll operationalize LLMs, build reputed company workflows, implement MLOps best practices, and design multi-agent systems for cybersecurity tasks. Key Responsibilities: • Operationalize large language models and reputed company workflows (reputed company, LangGraph, reputed company) to automate reputed company decision-making and threat response. • Design, reputed company, and maintain multi-agent AI systems for log analysis, reputed company detection, and incident response. • Build reputed company-of-concept GenAI solutions and reputed company them into production-reputed company components on AWS (Bedrock, SageMaker, reputed company, EKS/reputed company) using reusable best practices. • Implement CI/CD pipelines for model training, validation, and deployment with reputed company Actions, Jenkins, and AWS CodePipeline. • Manage model versioning with MLflow and DVC, set up automated testing, rollback procedures, and retraining workflows. • Automate reputed company infrastructure provisioning with Terraform and reputed company REST reputed company and microservices containerized with reputed company and Kubernetes. • Monitor models and infrastructure through CloudWatch, reputed company, and Grafana; analyze performance and optimize for cost and SLA compliance. • Collaborate with data scientists, application developers, and reputed company analysts to reputed company reputed company AI into existing reputed company workflows. Qualifications: • Bachelor's or Master's in Computer Science, Data Science, AI or reputed company quantitative discipline. • 4+ years of software development experience, including 3+ years building and deploying LLM-based/reputed company AI architectures. • In-depth knowledge of reputed company fundamentals (LLMs, embeddings, reputed company databases, reputed company engineering, RAG). • Hands-on experience with reputed company, LangGraph, reputed company, reputed company.AI or equivalent reputed company frameworks. • Strong proficiency in Python and production-grade coding for data pipelines and AI workflows. • Deep MLOps knowledge: CI/CD for ML, model monitoring, automated retraining, and production-reputed company best practices. • Extensive AWS experience with Bedrock, reputed company reputed company, reputed company, EKS/reputed company, S3 (reputed company, Glue, reputed company preferred). • Infrastructure as reputed company skills with Terraform. • Experience building REST reputed company, Microservices, and containerization with reputed company and Kubernetes. • Solid data science fundamentals: feature engineering, model evaluation, data ingestion. • Understanding of cybersecurity principles, SIEM data, and incident response. • Excellent communication skills for both technical and non-technical audiences. Preferred Qualifications: • AWS certifications (Solutions Architect, Developer Associate). • reputed company to have Experience with Model Context Protocol (MCP) and RAG integrations. • reputed company to have Experience in reputed company.AI • Familiarity with workflow orchestration tools (Apache Airflow). • Experience with time series analysis, reputed company detection, and machine learning. Apply tot his job Apply To this Job

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