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20 Yodlee Jobs
Senior Engineer - AI/ML
Yodlee
posted 5hr ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
Description
Design cloud-native AI architectures for personalized recommendations, conversational systems, and real-time analytics.
Leverage generative AI technologies like LangChain and RAG to build advanced AI solutions.
Train, fine-tune, and deploy ML models using Microsoft Copilot Studio, Power platform, Azure ML, AWS SageMaker, AWS bedrock
Implement CI/CD pipelines for seamless model updates and scaling.
Build and optimize ETL workflows for large-scale data processing using Azure Data Factory and AWS Glue.
Integrate data pipelines with AI/ML models to enable real-time decision-making.
Deploy robust MLOps practices, including automated monitoring and model retraining.
Enhance AI model security through advanced techniques like LLM Guard and PromptInject.
Collaborate with stakeholders to define AI use cases and ensure alignment with business objectives.
Document AI workflows, data pipelines, and deployment processes for reproducibility.
5+ Years of experience in code development wih Java, Python, Vscode
Proficiency in PyTorch, TensorFlow, and deep learning frameworks.
Experience with Azure Cognitive Services, AWS AI/ML tools, and cloud-native architectures.
Strong understanding of containerization, orchestration, and serverless computing.
Hands-on experience with cloud automation tools like Terraform and Kubernetes.
Proven ability to troubleshoot complex AI/ML workflows and deliver scalable solutions.
Strong leadership and project management skills to handle multi-disciplinary projects.
Solid understanding of NLP, computer vision, reinforcement learning, and time series forecasting.
Key Responsibilities:
Design cloud-native AI architectures for personalized recommendations, conversational systems, and real-time analytics.
Leverage generative AI technologies like LangChain and RAG to build advanced AI solutions.
Train, fine-tune, and deploy ML models using Microsoft Copilot Studio, Power platform, Azure ML, AWS SageMaker, AWS bedrock
Implement CI/CD pipelines for seamless model updates and scaling.
Build and optimize ETL workflows for large-scale data processing using Azure Data Factory and AWS Glue.
Integrate data pipelines with AI/ML models to enable real-time decision-making.
Deploy robust MLOps practices, including automated monitoring and model retraining.
Enhance AI model security through advanced techniques like LLM Guard and PromptInject.
Collaborate with stakeholders to define AI use cases and ensure alignment with business objectives.
Document AI workflows, data pipelines, and deployment processes for reproducibility.
Requirements:
5+ Years of experience in code development wih Java, Python, Vscode
Proficiency in PyTorch, TensorFlow, and deep learning frameworks.
Experience with Azure Cognitive Services, AWS AI/ML tools, and cloud-native architectures.
Strong understanding of containerization, orchestration, and serverless computing.
Hands-on experience with cloud automation tools like Terraform and Kubernetes.
Proven ability to troubleshoot complex AI/ML workflows and deliver scalable solutions.
Strong leadership and project management skills to handle multi-disciplinary projects.
Solid understanding of NLP, computer vision, reinforcement learning, and time series forecasting.
Employment Type: Full Time, Permanent
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What people at Yodlee are saying
Rating based on 1 Senior Engineer
review
Anonymous · Customer Success, Service & Operations
in Bangalore / Bengaluru
Likes
Initially the Management was good
- Salary - Good
+3 more
Dislikes
Biased Management. Micro Management.
- Job security - Poor
Senior Engineer salary at Yodlee
reported by
5
employees
with 3-16
years exp.
₹10.8
L/yr - ₹21
L/yr
67%
more
than the average Senior Engineer Salary in India
View more details
What Yodlee employees are saying about work life
based on 255 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Yodlee Benefits
View more benefits
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