AI/ML Engineer

As an AI/ML Engineer at our company, you will play a crucial role in transforming Data Science prototypes into production-ready applications, building scalable MLOps pipelines, and maintaining deployed models. Your strong background in software engineering, cloud infrastructure, and practical experience with the full ML lifecycle will be essential for success in this role. Key Responsibilities: - 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. In addition to the exciting responsibilities outlined above, our company provides the following 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 work location for this position is in-person in Vadodara, Gujarat. You should be able to reliably commute or be willing to relocate with an employer-provided relocation package. Experience: - AI/ML: 2 years (Required) Language: - Fluent English (Required) Job Types: Full-time, Permanent,