Description :

Role Overview :

As a Generative AI Data Engineer with AWSBedrock at Bay Area Technology Solutions, you will be at the forefront of developing and deploying Generative AI solutions leveraging the power of Amazon Bedrock Services.

You will collaborate closely with data scientists, machine learning engineers, and product managers to design, build, and scale innovative AI applications that address real-world business challenges.

Client facing role will directly impact our clients by enabling them to automate tasks, personalize customer experiences, and gain deeper insights from their data.

Must have skills : GenAI, Amazon Bedrock, Amazon Athena, AWS Glue, Python, Lambda, Docker, ETL, Data, FastAPI, AWS API

Key Responsibilities :

- Design and implement end-to-end GenAI solutions on AWS, utilizing services like AWS Bedrock, Lambda, and other relevant AWS AI/ML offerings.

- Develop and optimize Retrieval Augmented Generation (RAG) pipelines to enhance the accuracy and relevance of GenAI models.

- Build and deploy scalable and reliable machine learning models using Python and relevant ML/DL frameworks.

- Collaborate with data scientists to refine model performance through data analysis, feature engineering, and hyperparameter tuning.

- Create robust data pipelines for data ingestion, processing, and storage, ensuring data quality and accessibility.

- Develop data models and visualizations to communicate insights and facilitate data-driven decision-making for clients.

- Implement monitoring and alerting systems to ensure the stability and performance of deployed AI solutions.

- Contribute to the development of best practices and standards for GenAI development within the organization.

Required Skillset :

- Demonstrated ability to design, develop, and deploy machine learning models and GenAI solutions using Python and AWS services.

- Proven expertise in data modeling, data visualization, and building robust data pipelines.

- Strong understanding of machine learning algorithms, deep learning techniques, and natural language processing (NLP).

- Hands-on experience with AWS Bedrock and other AWS AI/ML services.

- Experience with Retrieval Augmented Generation (RAG) pipelines.

- Ability to effectively communicate technical concepts to both technical and non-technical audiences.

- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.

- 5-10 years of relevant experience in AI/ML engineering and data science with Amazon Bedrock Services