AI Architect

Job Title: AI Architect

Location: San Francisco CA (Day1 Onsite)

Duration: 1 Year

Job Description:

Responsibilities:

Design and architect a scalable secure and efficient technology platform on AWS tailored for AI and ML experiments.

Collaborate with data scientists researchers and other stakeholders to understand their requirements and translate them into technical solutions.

Develop and implement best practices for managing and processing imaging data in the cloud.

Integrate machine learning frameworks and tools into the AWS platform to facilitate seamless experimentation and development.

Optimize the platform for performance cost and scalability.

Maintain documentation of the architecture configurations and best practices.

Stay updated with the latest AWS services and features and integrate them into the platform as needed.

Provide guidance and mentorship to other engineers and team members on the use of the platform and best practices in AWS.

Requirement (Must Have):

Bachelors or masters degree in computer science Engineering or a related field.

Proven experience as a Technical Architect or similar role with a focus on AWS.

Extensive experience with AWS services including but not limited to EC2 S3 RDS Lambda Sage Maker Glue EMR Airflow and Redshift.

Strong understanding of AI and ML concepts tools and frameworks.

Extensive experience in designing/developing MLOps solutions.

Experience with imaging data and related processing techniques.

Proficiency in programming languages such as Python/PySpark/PyTorch.

Excellent problemsolving skills and the ability to work independently.

Skills (Nice to Have):

AWS Certified Solutions Architect or other relevant AWS certifications.

Experience with Docker Kubernetes and other containerization technologies.

Familiarity with CI/CD pipelines and DevOps practices.

Knowledge of data privacy and security best practices.

Educational Qualifications:

Engineering Degree BE/ME/BTech/MTech/BSc/MSc.

AWS,Python