Data Scientist (AWS Bedrock)

Chicago, IL - USA

Monthly Salary: Not Disclosed

Posted on: 5 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Bachelors or Masters 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.

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 M...

Job Title: Data Scientist AWS Bedrock Location: Chicago IL About the Role

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

Bachelors or Masters 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.