Senior AI/ML Engineer NLP, Generative AI & AWS Bedrock (Freelance | Remote)

About the Company

ThreatXIntel is a fast-growing Cybersecurity, IT Staffing, and Consulting company delivering end-to-end technology and security solutions. Our expertise spans cloud security, web & mobile application security testing, DevSecOps, vulnerability assessments, IT consulting, and professional staffing services.

We support global corporate clients by deploying skilled professionals across IT and finance domains, helping organizations strengthen compliance, optimize operations, and scale efficiently.

Location: Remote

Job Type: Freelance / Contract

Experience: 4–5+ Years

About the Role

We are looking for a highly experienced Senior AI/ML Engineer with strong expertise in Natural Language Processing (NLP), Generative AI, Large Language Models (LLMs), and AWS-native AI services. This role is ideal for someone who has built production-grade AI solutions involving intent detection, RAG architectures, AI agents, and cloud-native ML pipelines.

You will play a key role in building a reusable AI platform that enables data science teams to efficiently train, retrain, deploy, and monitor AI models, while optimizing Reinforcement Learning (RL) training systems for production-scale workloads.

Key Responsibilities

• Design and develop intent classification, text classification, and entity recognition models.
• Build and optimize Natural Language Generation (NLG) pipelines.
• Develop AI applications using LangChain and LangGraph.
• Build Retrieval-Augmented Generation (RAG) solutions using vector databases.
• Integrate and fine-tune foundation models through AWS Bedrock.
• Develop scalable ML pipelines using AWS SageMaker, Lambda, Step Functions, DynamoDB, and Athena.
• Optimize Reinforcement Learning (RL) training infrastructure and model performance.
• Implement MLOps best practices including CI/CD, monitoring, versioning, and deployment.
• Collaborate with product managers, data scientists, and engineering teams to deliver AI-powered applications.
• Mentor junior engineers and contribute to AI platform architecture.

Required Skills

Mandatory Skills

• Python
• Machine Learning
• Natural Language Processing (NLP)
• Generative AI
• Large Language Models (LLMs)
• AWS Bedrock
• Amazon SageMaker
• LangChain
• LangGraph
• Retrieval-Augmented Generation (RAG)
• PyTorch
• Hugging Face Transformers
• Scikit-learn
• Vector Databases (FAISS, Pinecone, Weaviate)
• AWS Lambda
• DynamoDB
• Step Functions
• MLOps
• CI/CD

Preferred Skills

• Reinforcement Learning (RL)
• Amazon OpenSearch
• AWS Kinesis
• Apache Kafka
• Prompt Engineering
• AI Agents
• Distributed ML Training
• Model Monitoring
• AWS Athena

Qualifications

• Bachelor's or Master's degree in Computer Science, AI, Data Science, or a related field.
• 4–5+ years of experience in AI/ML Engineering.
• Strong experience with NLP, Generative AI, and LLM-based applications.
• Hands-on experience with AWS AI services and cloud-native ML systems.
• Experience developing production-ready AI applications.
• Strong knowledge of MLOps, model deployment, and AI infrastructure.