Job Title: Senior AI/ML Developer
Experience: 5+ Years
Employment Type: Full-Time
Work Mode: Remote / Hybrid

Job Summary

We are looking for an experienced Senior AI/ML Developer to design, develop, deploy, and maintain scalable AI/ML solutions across cloud environments.

The ideal candidate should have strong expertise in DevOps and CI/CD, AI/ML frameworks, AWS, Azure, and GCP, along with hands-on experience in modern machine learning and MLOps technologies.

Key Responsibilities

- Design, develop, and deploy AI/ML models and solutions for enterprise applications.
- Build and maintain scalable machine learning pipelines.
- Develop and optimize ML models using frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn.
- Manage ML experiment tracking, model lifecycle, and deployment using MLflow.
- Implement automated CI/CD pipelines for AI/ML applications and models.
- Deploy and manage ML workloads across AWS, Azure, and GCP.
- Containerize and operationalize AI/ML applications.
- Monitor model and application performance in production environments.
- Troubleshoot deployment, infrastructure, and ML pipeline issues.
- Collaborate with data scientists, data engineers, software engineers, and DevOps teams.
- Implement best practices for model versioning, reproducibility,



testing, deployment, and monitoring.
- Contribute to cloud-native AI/ML architecture and continuous improvement initiatives.

Primary Skills

- DevOps & CI/CD
- AI/ML Frameworks
- AWS
- Microsoft Azure
- Google Cloud Platform (GCP)

Secondary Skills

- MLflow
- TensorFlow
- PyTorch
- Keras
- Scikit-learn

Required Qualifications

- 5+ years of experience in AI/ML development, machine learning engineering, or related roles.
- Strong hands-on experience with AI/ML frameworks.
- Experience deploying ML solutions in cloud environments.
- Solid understanding of DevOps and CI/CD practices.
- Experience with one or more major cloud platforms, preferably AWS, Azure, and GCP.
- Solid programming and problem-solving skills.
- Experience working with ML model development, deployment, and production support.
- Good communication and collaboration skills.

Preferred Skills

- Experience with MLflow and MLOps.
- Experience with cloud-native AI/ML architectures.
- Knowledge of containerization and orchestration.
- Experience with model monitoring and lifecycle management.
- Experience working in Agile/Scrum environments.

Work Location: Hybrid remote in Remote

📌 Senior AI/MLDeveloper (India)
🏢 WebSenor InfoTech
📍 India