AI Engineer(MUST NEED LOCAL TO VA)

Rate: $55-60/hr on C2C

, RESTON,VA

Job Title : AI Engineer

Location : Hybrid 1/ 2 days a week Reston, VA Duration : 6 months Contract to start

Interview Type : In-Person Interview

JD

integrating Gen AI, expertise in Cloud tech, AI/ML model, integration of AI workflow.

AWS Sagemaker and Bedrock,

Hands-on engineer in AI/ML - fine tuning, workflow, integrating Gen AI, expertise in Cloud tech, AI/ML model, integration of AI workflow.

day to day:

Architecture is a plus.

Who can step up and start coding AI/ML - to add business values.

AWS - cloud - Lambda, Dynamo, RDS, ECS, EKS, Bedrock,

Although developing AI/ML - comfortable in the AWS area.

Data preparation, training AI/ML - proficient.

Monitoring regulation, application integration is key . models available - work with business solution providers, understand AI Integrating models.

Skills : ML/AL - sagemaker, bedrock - specially. RAG - regarding augmented generation, integrating with Gen AI model - dev solutions.

Existing app gen ai capability with in app, recommended approach will be created bedret - existing bedret data and pass to data anthropic, AWS - that results business solutions

Experience ML/AI - AWS using sagemaker to fine tune, Bedrock to integrat , pytorch, tensorflow to develop AI solutions.

deep learning such as gang, back propagation, vector database.

Spark - helpful

Hive/Airflow - might helpful

Most of FNM is located in a data lake - based on data load into Vector DB, more important than NoSQl.

Here is the job description:

10 years relevant experience

Focused on manipulating data in a software engineering capacity. Some of that data might live in relational systems, but it's increasingly moving towards NoSQL systems and data lakes.

Normalize databases and ascertain the structure of the data meets the requirements of the applications that are accessing the information.

Construct datasets that are easy to analyze and support company requirements.

Combine raw information from different sources to create consistent and machine-readable formats.

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