We're looking for a talented AI/ML Engineer to join our team and help build the next generation of intelligent systems. You'll work on cutting-edge machine learning projects, from developing predictive models to deploying scalable AI solutions that impact millions of users. This role offers the opportunity to work with state-of-the-art technologies and collaborate with a passionate team of AI researchers and engineers.

What you will do

• Design, develop, and deploy machine learning models for production environments
• Build scalable ML pipelines using Python, TensorFlow, PyTorch, and scikit-learn
• Optimize model performance through feature engineering and hyperparameter tuning
• Collaborate with data scientists to translate research prototypes into production systems
• Implement A/B testing frameworks to evaluate model performance in real-world scenarios
• Monitor and maintain ML models in production, ensuring reliability and accuracy
• Stay current with latest ML research and apply innovative techniques to solve business problems
• Document technical solutions and contribute to team knowledge sharing

Requirements

• Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, or related field
• 2-5 years of hands-on experience in machine learning and deep learning
• Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch, scikit-learn)
• Experience with data preprocessing, feature engineering, and model evaluation
• Solid understanding of ML algorithms (regression, classification, clustering, neural networks)
• Familiarity with cloud platforms (AWS, GCP, or Azure) for ML deployment
• Experience with version control (Git) and collaborative development workflows
• Strong problem-solving skills and ability to work independently

Preferred Qualifications

• Experience with MLOps tools and practices (MLflow, Kubeflow, etc.)
• Knowledge of distributed computing frameworks (Spark, Dask)
• Experience with computer vision or NLP applications
• Contributions to open-source ML projects
• Published research papers or technical blog posts
• Experience with model optimization and quantization techniques

What You'll Work On

• Building intelligent recommendation systems that personalize user experiences
• Developing predictive models for business forecasting and optimization
• Creating automated ML pipelines for continuous model training and deployment
• Implementing real-time inference systems with low latency requirements
• Researching and prototyping novel ML architectures for specific use cases

Perks & Benefits

• Competitive salary package (₹12-25 LPA based on experience)
• Flexible work arrangements with remote-first culture
• Health insurance coverage for you and your family
• Professional development budget for courses, conferences, and certifications
• Access to GPU compute resources and cloud credits for experimentation
• Annual performance bonuses and stock options
• Collaborative and innovation-driven work environment
• Regular team events and learning sessions
• Generous leave policy including paid time off and sick leave
• Latest MacBook or workstation setup of your choice

We're committed to creating an inclusive and diverse workplace where everyone can thrive. Quml is proud to provide equal opportunity to all qualified applicants regardless of race, color, ancestry, religion, gender, age, or any other protected characteristic.