AI/ML Engineer

You will be responsible for transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. This role requires a strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle. - Refactor and optimise Data Science prototypes for performance and efficiency. - Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes. - Design and build low-latency APIs to serve model predictions in real-time. - Implement CI/CD/CT pipelines to automate model training, testing, and deployment processes. - Utilise orchestration tools like Airflow or Kubeflow to manage and schedule complex ML workflows. - Work with specialised models (e.g., LLMs) on tasks such as fine-tuning and prompt engineering. - Contribute to ensuring the ethical and compliant use of AI systems, particularly in relation to data privacy and bias. - Set up robust monitoring for model performance, data drift, and infrastructure health in production. - Develop and manage automated processes for model retraining, versioning, and rollbacks. - Write high-quality, clean, modular Python code following professional software engineering standards. - Collaborate closely with Data Scientists and Data Engineers to ensure seamless data flow and feature availability for models. Benefits: - Service recognition awards - Market-leading salary packages - Maternity & Paternity Benefits - Medical Insurance Benefits - Flexible schedule - Health insurance - Leave encashment - Paid sick time - Paid time off - Provident Fund Please note that the ability to commute/relocate to Vadodara, Gujarat is required. Also, you are required to have a minimum of 2 years of experience in AI/ML and fluency in English. The work location is in person. You will be responsible for transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. This role requires a strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle. - Refactor and optimise Data Science prototypes for performance and efficiency. - Containerise models using Docker and deploy them onto a scalable infrastructure, such as Kubernetes. - Design and build low-latency APIs to serve model predictions in real-time. - Implement CI/CD/CT pipelines to automate model training, testing, and deployment processes. - Utilise orchestration tools like Airflow or Kubeflow to manage and schedule complex ML workflows. - Work with specialised models (e.g., LLMs) on tasks such as fine-tuning and prompt engineering. - Contribute to ensuring the ethical and compliant use of AI systems, particularly in relation to data privacy and bias. - Set up robust monitoring for model performance, data drift, and infrastructure health in production. - Develop and manage automated processes for model retraining, versioning, and rollbacks. - Write high-quality, clean, modular Python code following professional software engineering standards. - Collaborate closely with Data Scientists and Data Engineers to ensure seamless data flow and feature availability for models. Benefits: - Service recognition awards - Market-leading salary packages - Maternity & Paternity Benefits - Medical Insurance Benefits - Flexible schedule - Health insurance - Leave encashment - Paid sick time - Paid time off - Provident Fund Please note that the ability to commute/relocate to Vadodara, Gujarat is required. Also, you are required to have a minimum of 2 years of experience in AI/ML and fluency in English. The work location is in person.