Senior Cloud Engineer AI

4 days ago

uttar pradesh, India Wildnet Technologies Full time

About Wildnet
Wildnet Technologies, an award winning White Label Digital Marketing and IT Staff Augmentation Services Agency is a team of experienced professionals helping businesses and Google Partner Agencies achieve their goals by providing comprehensive range of High-Quality Digital Marketing Services and On-Demand Technology Resources. We have successfully delivered more than 12000 projects till date and today, our team comprises of more than 300+ professionals. We are headquartered in India and have client presence in the United States, Canada, Australia, and the United Kingdom

About the Job
As a Cloud AI Engineer , you will design and implement AI and machine learning solutions in cloud
environments. You will be responsible for integrating advanced AI models into cloud infrastructure,
ensuring scalability, reliability, and efficiency. You will collaborate with data scientists, software
engineers, and DevOps teams to deliver intelligent cloud-based applications that support business
objectives.

What You’ll Be Doing
• AI Model Deployment and Optimization
o Design, develop, and deploy AI and machine learning models on cloud platforms (AWS,
Google Cloud, Azure).
o Optimize models for performance, scalability, and cost-effectiveness in a cloud
environment.
o Ensure efficient and secure handling of data pipelines that feed into AI models.

• Cloud Architecture and Infrastructure
o Build and maintain scalable cloud infrastructure to support AI workloads, including data
processing, model training, and inference.
o Leverage cloud-native services (e.g., AWS SageMaker, Google AI Platform, Azure ML) for
the development and deployment of AI solutions.
o Design microservices and serverless architectures that support AI model serving.

• Collaboration with Data Science and Engineering Teams
o Work closely with data scientists to understand model requirements and help translate
them into scalable cloud solutions.
o Collaborate with DevOps and engineering teams to integrate AI models into production
applications and services.
o Ensure smooth handoff from development to production, managing the lifecycle of AI
models, including testing, versioning, and updating.

• Model Monitoring and Maintenance
o Implement monitoring and alerting systems to track the performance of AI models in
production, including model drift and performance degradation.
o Develop automated retraining and updating processes for models as new data becomes
available.
o Implement strategies to handle model lifecycle management, including versioning,
auditing, and rollback.

• Automation and CI/CD for AI Workflows
o Develop and implement CI/CD pipelines for AI and machine learning model
deployments.
o Automate testing, training, and deployment workflows to streamline the AI
development process
o Ensure reliable, continuous integration and delivery of new models to cloud
environments.

• Security and Compliance
o Ensure AI solutions comply with cloud security best practices, including data encryption,
identity, and access management (IAM), and secure APIs.
o Implement privacy-preserving techniques when handling sensitive data and ensure
compliance with relevant regulations (e.g., GDPR).
o Perform regular audits of cloud AI infrastructure to identify and mitigate risks.

• Research and Innovation
o Stay updated with the latest trends and advancements in AI, machine learning, and
cloud technologies.
o Explore and implement cutting-edge AI solutions such as deep learning, natural language
processing (NLP), and reinforcement learning in cloud environments.
o Conduct research and proof-of-concept (PoC) projects to evaluate the feasibility of new
AI models and cloud services.

What We Need To See
• The ideal candidate has experience in both AI/ML and cloud technologies and is proficient in
deploying AI models in production environments.

• Proficiency in Backend Development
o Strong experience with backend programming languages
such as Node.js, Python, or JavaScript
o Expertise in working with frameworks such as NestJS,
Express.js, or Django.

• Microservices Architecture
o Experience designing and implementing microservices
architectures.

• API Development
o Proficiency in designing, building, and maintaining RESTful and GraphQL
APIs.

• Database Management
o Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL
databases (e.g. MongoDB).
o Experience in database schema design, optimization, and management.

• Cloud Services
o Hands-on experience with cloud platforms such as Azure,AWS or Google Cloud.
o AI and Machine Learning Integration o Experience integrating AI and ML models into backend
services.
o Familiarity with using AI/ML libraries and frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).

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