AI Engineer AWS
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Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
Job Title: AI Engineer - AWS
Experience: 5 to 8 Years
Location: HyderabadHybrid
Employment Type: contract
Job Summary:
We are seeking an experienced AI Engineer with strong expertise in designing
developing and deploying AI/ML solutions on AWS cloud platforms. The ideal
candidate will have hands-on experience in machine learning deep learning NLP
and MLOps coupled with a solid understanding of AWS AI/ML services and
end-to-end model lifecycle management.
Key Responsibilities:
Design build and deploy AI/ML models and pipelines using AWS services
such as SageMaker Lambda Glue and Step Functions.
Collaborate with data scientists data engineers and business teams to
translate requirements into scalable AI solutions.
Develop and optimize deep learning models for use cases such as NLP
computer vision recommendation systems and predictive analytics.
Implement data ingestion transformation and feature engineering
pipelines leveraging AWS services (e.g. Glue Redshift S3 Athena).
Manage the end-to-end ML lifecycle including experimentation training
evaluation deployment and monitoring.
Integrate AI models into production applications through REST APIs
containers or microservices.
Apply MLOps practices for automation versioning and model governance.
Continuously evaluate and adopt new AI frameworks and AWS innovations
to enhance solution capabilities.
Required Skills & Qualifications:
Bachelors or Masters degree in Computer Science Artificial Intelligence
Machine Learning Data Science or related field.
5-8 years of professional experience in AI/ML engineering or machine
learning development.
Proficiency in Python (and relevant libraries: TensorFlow PyTorch
scikit-learn pandas numpy).
Strong expertise in AWS AI/ML stack including:
o SageMaker Comprehend Rekognition Transcribe Textract Polly
Lambda Glue ECR ECS Redshift and S3.
Hands-on experience in building and deploying deep learning and NLP
models.
Solid understanding of software engineering principles including CI/CD
version control (Git) and testing.
Knowledge of containerization (Docker) and orchestration (Kubernetes or
AWS ECS/EKS).
Experience: 5 to 8 Years
Location: HyderabadHybrid
Employment Type: contract
Job Summary:
We are seeking an experienced AI Engineer with strong expertise in designing
developing and deploying AI/ML solutions on AWS cloud platforms. The ideal
candidate will have hands-on experience in machine learning deep learning NLP
and MLOps coupled with a solid understanding of AWS AI/ML services and
end-to-end model lifecycle management.
Key Responsibilities:
Design build and deploy AI/ML models and pipelines using AWS services
such as SageMaker Lambda Glue and Step Functions.
Collaborate with data scientists data engineers and business teams to
translate requirements into scalable AI solutions.
Develop and optimize deep learning models for use cases such as NLP
computer vision recommendation systems and predictive analytics.
Implement data ingestion transformation and feature engineering
pipelines leveraging AWS services (e.g. Glue Redshift S3 Athena).
Manage the end-to-end ML lifecycle including experimentation training
evaluation deployment and monitoring.
Integrate AI models into production applications through REST APIs
containers or microservices.
Apply MLOps practices for automation versioning and model governance.
Continuously evaluate and adopt new AI frameworks and AWS innovations
to enhance solution capabilities.
Required Skills & Qualifications:
Bachelors or Masters degree in Computer Science Artificial Intelligence
Machine Learning Data Science or related field.
5-8 years of professional experience in AI/ML engineering or machine
learning development.
Proficiency in Python (and relevant libraries: TensorFlow PyTorch
scikit-learn pandas numpy).
Strong expertise in AWS AI/ML stack including:
o SageMaker Comprehend Rekognition Transcribe Textract Polly
Lambda Glue ECR ECS Redshift and S3.
Hands-on experience in building and deploying deep learning and NLP
models.
Solid understanding of software engineering principles including CI/CD
version control (Git) and testing.
Knowledge of containerization (Docker) and orchestration (Kubernetes or
AWS ECS/EKS).
Required Skills:
AWS SERVICESKUBERNETESMACHINE LEARNINGTABLEAUDATA SCIENCEAIPYTORCHSAGEMAKERNLPDEEP LEARNINGTENSORFLOWGITAWS
Key Skills
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