Editorial summary

The company is seeking an experienced AI Data Engineer to lead the migration of data workloads from Cloudera to AWS and develop scalable AI solutions. The ideal candidate will possess strong skills in Python, PySpark, Hadoop, AWS cloud services, and enterprise AI/ML platforms, with proven experience in modernizing data architectures and implementing Generative AI applications. The role involves building and productionizing machine learning models to support business innovation and data-driven decision-making. The position offers a salary of 8,250.

This summary is AI-generated and may contain inaccuracies. Please refer to the full job description below.

Job description

[This job id 22865 first appeared in Job-Q.com on 01 Aug 2026]

We are seeking a highly skilled AI & Data Science Engineer with strong expertise in Data Engineering, Machine Learning, and Generative AI technologies. The ideal candidate will have hands-on experience with Python, PySpark, Cloudera/Hadoop, AWS cloud services, and enterprise AI/ML platforms, along with proven experience migrating and modernizing data workloads from Cloudera to AWS. This role will focus on building scalable AI solutions, implementing GenAI applications, and productionizing machine learning models to drive business innovation and data-driven decision-making.

1.      Design, develop, and deploy enterprise-scale AI, Machine Learning, and Generative AI solutions across cloud and hybrid environments.

2.      Build and optimize scalable data processing frameworks using Python, SQL, Spark, and PySpark to support AI and analytics workloads.

3.      Design and implement Retrieval-Augmented Generation (RAG) solutions leveraging embeddings, vector databases, and Large Language Models (LLMs).

4.      Develop and deploy Machine Learning models, including feature engineering, model training, evaluation, and production deployment.

5.      Collaborate with Data Engineering teams to migrate and modernize Cloudera/Hadoop workloads to AWS cloud platforms.

6.      Build cloud-native AI/ML solutions using AWS services such as Sagemaker, Glue, EMR, Athena, Redshift, and S3.

7.      Develop robust MLOps frameworks for model lifecycle management, CI/CD automation, monitoring, and governance.

8.      Design scalable AI architectures that leverage enterprise data platforms while ensuring security, performance, and reliability.

9.      Evaluate and integrate emerging AI, GenAI, and LLM technologies to enhance business capabilities and customer experiences.

10.  Work closely with business stakeholders, architects, and engineering teams to translate business requirements into innovative AI-driven solutions.

11.  Ensure AI models and applications meet quality, compliance, performance, and operational excellence standards.

Skills/Requirement

• Strong Python, SQL and PySpark/Spark.
• Strong Cloudera/Hadoop experience:
• HDFS
• Hive
• Impala
• Spark
• CDP preferred
• Strong AWS platform knowledge:
• S3
• Glue
• EMR
• Athena
• Redshift
• Sagemaker
• Experience migrating or onboarding Cloudera workloads to AWS.
• Data Science and Machine Learning:
• Feature Engineering
• Model Development
• Evaluation
• Deployment
• GenAI and LLM experience:
• RAG
• Embeddings
• Vector Databases
• LLM Integration
• MLOps:
• CI/CD
• Model Lifecycle Management
• Monitoring

Preferred Skills

• LangChain
• Bedrock
• OpenAI/Azure OpenAI
• Pinecone/Weaviate/OpenSearch
• Kubernetes
• Financial Services domain knowledge

Interested candidates, who wish to apply for the above position, please send in your resume to:

PERSOL Singapore Pte Ltd EA License No. 01C4394 EA Reg No: R1331594 (Sasi Indurthi Venkata)

We regret to inform you that only shortlisted candidates will be contacted.

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