*Job Title: AI Engineer*

exp:- 6+ years

Position Summary:

Key Responsibilities:

 AI/ML Development & Deployment

o Design, develop, and train AI/ML models using AWS SageMaker and

Python-based frameworks

o Utilize AWS Bedrock to develop and fine-tune generative AI solutions,

including Retrieval-Augmented Generation (RAG) pipelines.

o Implement ML pipelines, including data ingestion, preprocessing,

model training, and deployment.

 Cloud AI Infrastructure

o Leverage AWS services such as Lambda, API Gateway, DynamoDB,

S3, CloudWatch, and IAM for AI integration.

 Integration & Automation

o Integrate AI models with IT applications, APIs, and automation workflows.

o Work closely with DevOps teams to implement CI/CD pipelines for AI/ML

deployments.

Job Requirements:

 Technical Skills

o Strong proficiency in Python for AI/ML development.

o Hands-on experience with AWS Bedrock for generative AI and LLM

integrations.

o Strong knowledge of AWS SageMaker for ML model lifecycle

management.

o Experience with machine learning algorithms, deep learning

frameworks, and NLP techniques.

o Familiarity with AWS cloud architecture, APIs, and automation tools.

 Soft Skills

o Strong problem-solving and analytical thinking.

o Ability to work cross-functionally with IT, business, and data science

teams.

o Excellent communication skills for technical and non-technical

stakeholders.