AI/ML Engineer

Key Responsibilities

● Design, build, and maintain scalable infrastructure for training and deploying machine learning models at scale.

● Operationalize ML models, including the "TruValue UAE" AVM and the property recommendation engine, by creating robust, low-latency APIs for production use.

● Develop and manage data pipelines (ETL) to feed our machine learning models with clean, reliable data for both training and real-time inference.

● Implement and manage the MLOps lifecycle, including CI/CD for models, versioning, monitoring for model drift, and automated retraining.

● Optimize the performance of machine learning models for speed and cost-efficiency in a cloud environment.

● Collaborate with backend engineers to seamlessly integrate ML services with the core platform architecture.

● Work with data scientists to understand model requirements and provide engineering expertise to improve model efficacy and feasibility.

● Build the technical backend for the AI-powered chatbot, integrating it with NLP services and the core platform data.

Required Skills and Experience

● 3-5+ years of experience in a Software Engineering, Machine Learning Engineering, or related role.

● A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.

● Strong software engineering fundamentals with expert proficiency in Python.

● Proven experience deploying machine learning models into a production environment on a major cloud platform (AWS, Google Cloud, or Azure).

● Hands-on experience with ML frameworks such as TensorFlow, PyTorch, and Scikit-learn.

● Experience building and managing data pipelines using tools like Apache Airflow, Kubeflow Pipelines, or cloud-native solutions.

● Collaborate with cross-functional teams to integrate AI solutions into products.

● Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker) and orchestration (Kubernetes).

Job Types: Full-time, Permanent

Pay: ₹900,000.00 - ₹1,200,000.00 per year

Benefits:

• Paid sick time
• Provident Fund

Schedule:

• Day shift
• Fixed shift

Work Location: In person