AI/ML Engineer

We are looking for a highly experienced Senior AI/ML Engineer with a strong background in cloud infrastructure and IoT to join our dynamic team in Ahmedabad. As an ML Engineer/MLOps Engineer, your primary responsibility will be to lead the design, development, and deployment of AI/ML solutions on cloud platforms, integrate IoT technologies, and drive innovation in intelligent systems. Your role will involve leading the end-to-end development and deployment of AI/ML solutions on cloud platforms such as AWS for applications like predictive analytics, anomaly detection, and intelligent automation. You will also be responsible for integrating IoT sensors, devices, and protocols like MQTT into AI/ML solutions to enable intelligent decision-making, remote monitoring, and control in IoT environments. Additionally, you will architect and optimize cloud infrastructure for AI workloads, design data pipelines for IoT data ingestion, and train machine learning models for various tasks using state-of-the-art algorithms and frameworks like PyTorch. Collaboration with cross-functional teams, including data scientists, software engineers, and product managers, is essential to define project requirements, develop prototypes, and deliver scalable AI/ML solutions that align with business objectives. You will need to implement algorithms and models proficiently using programming languages like Python, R, or Java and leverage relevant libraries and frameworks for computer vision tasks. Furthermore, you should have a Bachelor's or Master's degree in Computer Science, Engineering, or related field, along with 3-5 years of proven experience as an AI/ML Engineer. Strong programming skills in Python, familiarity with AI/ML libraries/frameworks, IoT development, containerization, and serverless computing are crucial requirements for this role. A deep understanding of machine learning algorithms, model training, validation, and deployment best practices is also essential. If you are willing to relocate to Ahmedabad and meet the educational and experience requirements mentioned above, we encourage you to apply for this full-time ML Engineer/MLOps Engineer position.,