Principal Software Engineer

The Role

You will be responsible for designing, developing, and overseeing the implementation of AI and machine learning solutions that align with Emerson Digital Grid Management business objectives. This role requires deep technical expertise in AI / ML frameworks, cloud infrastructure, and software architecture, as well as the ability to collaborate with cross-functional teams to deliver robust, scalable solutions. The ideal candidate is a strategic thinker with hands-on experience in building production-grade AI systems and a passion for advancing the field of artificial intelligence.

Key Responsibilities :

• Architecture Design : Lead the design and development of scalable, reliable, and high-performance AI / ML architectures, including model pipelines, data processing systems, and inference systems.
• Solution Development : Collaborate with data scientists, software engineers, and product teams to translate business requirements into technical AI / ML solutions.
• Model Selection & Optimization : Evaluate and select appropriate machine learning models, frameworks, and algorithms to address specific use cases, ensuring optimal performance, scalability, and efficiency.
• Data Pipeline Development : Design and implement robust data pipelines for data ingestion, preprocessing, feature engineering, and model training.
• Cloud Integration : Architect AI / ML solutions on cloud platforms (e.g., AWS, Azure, GCP) to ensure scalability, cost-efficiency, and seamless deployment.
• Performance Monitoring : Define and implement metrics to monitor model performance, accuracy, and system reliability in production environments.
• Collaboration : Work closely with software engineers, DevOps, and product managers to integrate AI / ML models into production systems and ensure smooth operation.
• Research & Innovation : Stay abreast of the latest advancements in AI / ML technologies, tools, and methodologies, and incorporate cutting-edge techniques into our solutions.
• Mentorship : Provide technical guidance and mentorship to junior team members, fostering a culture of continuous learning and improvement.
• Compliance & Ethics : Ensure AI / ML solutions adhere to ethical guidelines, data privacy regulations, and industry standard

Qualifications :