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Data Scientist (AWS Bedrock)
Data Scientist (AWS Bedrock)VeeRteq Solutions Inc. • Chicago, IL, United States
Data Scientist (AWS Bedrock)

Data Scientist (AWS Bedrock)

VeeRteq Solutions Inc. • Chicago, IL, United States
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Job Title : Data Scientist AWS Bedrock Location : Chicago, IL About the Role

We are seeking a highly skilled Data Scientist with hands-on experience in AWS Bedrock to design, build, and scale generative AI and machine learning solutions. The ideal candidate has a strong foundation in Python, applied ML, LLMs, and cloud-native development with a focus on production-grade models and prompt engineering.

Key Responsibilities

  • Develop, fine-tune, and deploy generative AI / LLM solutions using AWS Bedrock , including foundation models such as Claude, Llama, and Titan.
  • Build end-to-end ML workflows leveraging AWS services (S3, Lambda, SageMaker, Step Functions, API Gateway, DynamoDB, RDS, etc.).
  • Design and implement prompt engineering strategies, evaluation frameworks, and model optimization techniques.
  • Integrate Bedrock-powered AI capabilities into applications via APIs and SDKs.
  • Collaborate with cross-functional teams to identify business problems and translate them into scalable AI / ML solutions.
  • Perform data preprocessing, feature engineering, statistical modeling, and experimentation.
  • Develop scalable pipelines for model training, inference, and monitoring.
  • Conduct A / B testing, model performance evaluations, and continuous improvement activities.
  • Ensure adherence to security, compliance, and responsible AI best practices within AWS.
  • Produce clear technical documentation, reports, and model explainability outputs.

Required Skills & Qualifications

  • Bachelor's or Master's in Computer Science, Data Science, Engineering, Mathematics, or related field.
  • 3 7 years of experience as a Data Scientist or ML Engineer.
  • Strong hands-on expertise with AWS Bedrock , including provisioning, model selection, and orchestration.
  • Advanced proficiency in Python , including libraries such as NumPy, pandas, scikit-learn, PyTorch or TensorFlow.
  • Experience building and deploying ML / LLM applications in AWS.
  • Knowledge of vector databases (e.g., Pinecone, FAISS, OpenSearch) and RAG pipelines.
  • Strong grasp of data modeling, statistics, NLP, and machine learning algorithms.
  • Familiarity with CI / CD, MLOps, containerization (Docker), and version control (Git).
  • Strong problem-solving abilities, analytical mindset, and communication skills.
  • Preferred Qualifications

  • Experience fine-tuning LLMs using SageMaker or custom training pipelines.
  • Prior work with multimodal models, retrieval-augmented generation (RAG), or agent-based architectures.
  • Certification : AWS Solutions Architect , AWS Machine Learning Specialty , or equivalent.
  • Experience integrating Bedrock with real-time applications and microservices.
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