Job Hiring for Machine Learning Engineer (AWS Bedrock + Traditional ML)

[wilson paul]

Job Title: Machine Learning Engineer (AWS Bedrock + Traditional ML)Location: Atlanta, GA (HYBRID)
Experience: 10+ yearsJob Summary:We are seeking a Machine Learning Engineer with strong hands-on experience inAmazon Bedrock and a solid foundation in traditional machine learning techniques, particularly regression model development and statistical modeling. This is not a data scientist role — we are looking for an engineering-focused ML professional who can build, deploy, and optimize ML models in production environments.Key Responsibilities:

• Design, develop, and deploy ML solutions using Amazon Bedrock and foundation models (e.g., Claude, Titan, Llama2).
• Build and optimize traditional ML models such as linear regression, logistic regression, decision trees, and ensemble methods.
• Apply statistical methods to analyze data, validate models, and ensure robustness and reliability.
• Integrate ML solutions into scalable architectures using AWS-native services (SageMaker, Lambda, S3, API Gateway, etc.).
• Collaborate with software engineers, data engineers, and stakeholders to implement ML pipelines in production.
• Ensure code quality, testing, monitoring, and CI/CD practices for ML model deployments.

Required Skills:

• 5+ years in machine learning engineering, with production deployment experience.
• Hands-on experience with Amazon Bedrock and LLM integration.
• Strong experience in regression modeling, statistical learning, and applied machine learning.
• Proficient in Python and ML libraries such as Scikit-learn, TensorFlow, orPyTorch.
• Experience with AWS services: SageMaker, Lambda, S3, API Gateway, IAM, etc.
• Solid understanding of MLOps practices, including CI/CD, model versioning, and monitoring.
• Strong grasp of statistics, including hypothesis testing, confidence intervals, and model evaluation metrics.

Nice to Have:

• Experience with RAG (Retrieval-Augmented Generation) architectures.
• Familiarity with prompt engineering and foundation model fine-tuning.
• Exposure to vector databases like FAISS or Pinecone.
• AWS ML Specialty Certification or similar credentials.

  Thanks & Regards
Wilson Paul | Technical Recruiter
IT SYNTAX INC
Direct: +14696390790
E-mail: wil...@itsyntax.com