Job Description
Description
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.
Job Classification
Industry: Financial Services
Functional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: Yodlee
Location(s): Thiruvananthapuram
Keyskills:
Computer vision
Project management
Cloud
Data processing
microsoft
Forecasting
AWS
Analytics
Monitoring
Python