AIML (AWS) - GO/JC/1762/2025
Actively Reviewing the ApplicationsGolden Opportunities
India, Karnataka, Bengaluru
Full-Time
INR 1–4 LPA
Posted 16 hours ago
•
Apply by June 13, 2026
Job Description
Job Description
Job Title: AWS AI/ML Engineer
Candidate Specifications: 6 to 9 years' experience - Notice Period: Immediate Joiners to 30 Days
Job Description
We are seeking an experienced AI/ML Engineer with strong AWS expertise to design, build, deploy, and optimize scalable machine learning solutions. The ideal candidate will work closely with data engineering, product, and cloud architecture teams to deliver high-impact AI-driven features and platforms.
Machine Learning & AI
Develop, train, validate, and optimize ML models for classification, regression, NLP, CV, or generative AI use cases.
AWS Cloud Engineering
Build and maintain scalable data pipelines using AWS Glue, Lambda, Step Functions, Kinesis, Athena, EMR, etc.
Data Engineering & Feature Engineering
Integrate with data lakes/warehouses using S3, Redshift, Lake Formation, DynamoDB, etc.
Generative AI
RoleAIML (AWS)
Industry TypeIT/ Computers - Software
Functional Area
Required Education Bachelor Degree
Employment TypeFull Time, Permanent
Key Skills
Job CodeGO/JC/1762/2025
Recruiter NameChristopher
Job Title: AWS AI/ML Engineer
Candidate Specifications: 6 to 9 years' experience - Notice Period: Immediate Joiners to 30 Days
Job Description
We are seeking an experienced AI/ML Engineer with strong AWS expertise to design, build, deploy, and optimize scalable machine learning solutions. The ideal candidate will work closely with data engineering, product, and cloud architecture teams to deliver high-impact AI-driven features and platforms.
Machine Learning & AI
Develop, train, validate, and optimize ML models for classification, regression, NLP, CV, or generative AI use cases.
AWS Cloud Engineering
Build and maintain scalable data pipelines using AWS Glue, Lambda, Step Functions, Kinesis, Athena, EMR, etc.
Data Engineering & Feature Engineering
Integrate with data lakes/warehouses using S3, Redshift, Lake Formation, DynamoDB, etc.
Generative AI
- Build LLM-based applications using Amazon Bedrock or custom fine-tuned models.
- Implement RAG pipelines using Kendra, OpenSearch, or vector databases.
- Strong proficiency in Python
- 2. Hands-on experience with AWS AI/ML services
- Experience building scalable data/ML pipelines on AWS.
- 4. Knowledge of CI/CD using Code Pipeline, Code Build, GitHub Actions, or Jenkins.
- 5. Understanding of Docker, Kubernetes (EKS), or serverless architectures.
- 6. Solid grasp of algorithms, statistics, and ML fundamentals.
RoleAIML (AWS)
Industry TypeIT/ Computers - Software
Functional Area
Required Education Bachelor Degree
Employment TypeFull Time, Permanent
Key Skills
- AI /ML
- AWS
- PYTHON
Job CodeGO/JC/1762/2025
Recruiter NameChristopher
Required Skills
Machine Learning
Python
AWS
DynamoDB
Jenkins
Docker
Kubernetes
Cloud Architecture
Amazon Redshift
Amazon S3
GitHub Actions
CI/CD
NLP
RAG
Cloud Engineering
Regression Testing
Adobe Illustrator
Data pipelines
OpenSearch
Amazon Kinesis
Amazon Bedrock
Amazon Athena
AWS glue
Amazon EKS
Generative AI
LLM
Serverless
Feature Engineering
AWS Step Functions
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