We are seeking a highly skilled and motivated GCP AI Engineer to join our dynamic team in Gurgaon/Gurugram. In this role, you will be responsible for designing, developing, and deploying cutting-edge AI and Gen AI solutions on the Google Cloud Platform (GCP). You will collaborate closely with data scientists, software engineers, and product managers to translate business requirements into scalable and robust AI applications. Your work will directly impact our ability to deliver innovative solutions to our clients, improve operational efficiency, and drive business growth through the power of artificial intelligence.

Key Responsibilities :

- Design and implement AI/ML pipelines on GCP, leveraging services like Vertex AI, BigQuery, and Cloud Storage, to ensure efficient data processing and model training.

- Develop and deploy Gen AI applications using models like Gemini, PaLM, and others available on GCP, to create innovative solutions for various business needs.

- Collaborate with data scientists to productionize machine learning models, ensuring scalability, reliability, and performance in a production environment.

- Build and maintain robust data infrastructure on GCP, including data lakes and data warehouses, to support AI/ML initiatives.

- Implement monitoring and alerting systems for AI/ML models and pipelines, to proactively identify and resolve issues.

- Optimize AI/ML models for performance and cost-effectiveness on GCP, to maximize the value of our AI investments.

- Stay up-to-date with the latest advancements in AI/ML and GCP, to continuously improve our AI capabilities and leverage new technologies.

Required Skillset :

- Demonstrated ability to design, develop, and deploy AI/ML solutions on Google Cloud Platform (GCP) using services like Vertex AI, BigQuery, and Cloud Storage.

- Proven experience in building and deploying Gen AI applications using models like Gemini, PaLM, and other relevant models.

- Strong programming skills in Python and experience with relevant AI/ML libraries such as TensorFlow, PyTorch, and scikit-learn.

- Solid understanding of data engineering principles and experience building data pipelines using tools like Apache Beam or Dataflow.

- Excellent communication and collaboration skills, with the ability to effectively work with cross-functional teams.

- Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field.

- Ability to work effectively in a fast-paced, agile environment.