Senior AI/ML Developer

WebSenor Ltd; Bengaluru; Hybrid; INR 4,500,000 - 7,500,000; Full time

Job summary

WebSenor Ltd is seeking a Senior AI/ML Developer to lead end-to-end ML initiatives, from design to production deployment. This role demands hands-on expertise in AI/ML, ML frameworks, and scalable cloud-based solutions.

You will build and optimize ML models using TensorFlow, PyTorch, Keras, Scikit-learn, and MLflow, implement MLOps, and collaborate with data engineers and software teams to ship reliable AI products across AWS, Azure, and GCP.

Qualifications

• Hands-on experience in building and deploying production-grade ML solutions.
• Proficient with TensorFlow, PyTorch, Keras and Scikit-learn.
• Experience with MLflow, MLOps, and CI/CD for ML workflows.
• Strong Python programming and model lifecycle management.

Responsibilities

• Design, develop, train, and deploy machine learning models.
• Develop scalable AI/ML solutions using Python and modern ML frameworks.
• Work with TensorFlow, PyTorch, Keras, and Scikit-learn.
• Implement machine learning experimentation and model tracking using MLflow.
• Develop and maintain ML pipelines and MLOps workflows.
• Deploy AI/ML solutions across AWS, Azure, and GCP environments.
• Optimize model performance and inference processes.
• Collaborate with data engineers and software developers for production integration.
• Implement CI/CD practices for ML applications and models.
• Monitor model performance and troubleshoot production issues.
• Contribute to technical architecture and AI/ML solution design.

Skills

AI/ML development

TensorFlow

PyTorch

Keras

Scikit-learn

MLflow

AWS

Azure

GCP

MLOps

Python

Model lifecycle

Job description

Job Title: Senior AI/ML DeveloperExperience: 5+yearsEmployment Type: Full-TimeWork Mode: On-site / Hybrid / Remote

Job Summary

We are looking for a Senior AI/ML Developer with strong experience in artificial intelligence, machine learning, ML frameworks, cloud platforms, MLOps, and production-grade machine learning solutions.

The ideal candidate should have hands-on experience with TensorFlow, PyTorch, Keras, Scikit-learn, MLflow, and cloud platforms including AWS, Azure, and GCP. The candidate will be responsible for developing, training, deploying, monitoring, and optimizing machine learning solutions.

Key Responsibilities

• Design, develop, train, and deploy machine learning models.
• Develop scalable AI/ML solutions using Python and modern ML frameworks.
• Work with TensorFlow, PyTorch, Keras, and Scikit-learn.
• Implement machine learning experimentation and model tracking using MLflow.
• Develop and maintain ML pipelines and MLOps workflows.
• Deploy AI/ML solutions across AWS, Azure, and GCP environments.
• Optimize model performance and inference processes.
• Collaborate with data engineers and software developers for production integration.
• Implement CI/CD practices for ML applications and models.
• Monitor model performance and troubleshoot production issues.
• Contribute to technical architecture and AI/ML solution design.

Required Skills

• Strong AI/ML development experience.
• TensorFlow.
• PyTorch.
• Keras.
• Scikit-learn.
• MLflow.
• Experience with AWS, Azure, and/or GCP.
• Understanding of MLOps and CI/CD.
• Strong Python programming skills.
• Knowledge of machine learning algorithms and model lifecycle management.

Good to Have

• Experience with cloud-native ML platforms.
• Kubernetes/Docker experience.
• Model monitoring and observability.
• Experience deploying ML models at scale.

Work Location

Hybrid remote in Noida, Uttar Pradesh (Noida)