Principal Artificial Intelligence Engineer

As an experienced AI/ML Architect, you will be responsible for architecting and deploying enterprise-scale AI/ML platforms. Your role will involve working in agile, cross-functional teams to deliver measurable impact. With a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, you should have 8+ years of experience in this domain. Your key responsibilities will include: - Designing, implementing, and scaling AI infrastructure using technologies such as Databricks, Azure AI, Snowflake, Spark, and Airflow. - Hands-on experience with model selection, fine-tuning, evaluation, and responsible AI governance. - Strong programming skills in Python, PySpark, SQL, and familiarity with modern AI/ML frameworks. - Leading cross-functional teams to deliver business impact through AI-driven solutions. - Integrating GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops. - Familiarity with multi-modal AI (text, image, audio) and unstructured data processing. Additional Company Details: The company focuses on cutting-edge technologies in Artificial Intelligence and Machine Learning, providing a challenging yet rewarding environment for professionals in this field. As an experienced AI/ML Architect, you will be responsible for architecting and deploying enterprise-scale AI/ML platforms. Your role will involve working in agile, cross-functional teams to deliver measurable impact. With a Masters or PhD in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field, you should have 8+ years of experience in this domain. Your key responsibilities will include: - Designing, implementing, and scaling AI infrastructure using technologies such as Databricks, Azure AI, Snowflake, Spark, and Airflow. - Hands-on experience with model selection, fine-tuning, evaluation, and responsible AI governance. - Strong programming skills in Python, PySpark, SQL, and familiarity with modern AI/ML frameworks. - Leading cross-functional teams to deliver business impact through AI-driven solutions. - Integrating GenAI models into enterprise applications with Human-in-the-Loop (HITL) validation and feedback loops. - Familiarity with multi-modal AI (text, image, audio) and unstructured data processing. Additional Company Details: The company focuses on cutting-edge technologies in Artificial Intelligence and Machine Learning, providing a challenging yet rewarding environment for professionals in this field.