In this role, you will:

📍ML System Architecture and Design: Architect, design, and oversee the implementation of ML systems with a strong focus on data pipelines, training/inferencing MLOps, and service/model performance tracking. 📍AI Research: Stay updated with the latest advancements in AI, particularly generative AI; identify suitable technologies and models for 📍Splore use cases, apply rigorous experimentation practices, and drive continuous ML feature upgrades. 📍ML Evaluation and Improvement: Establish a consistent approach for model evaluation with an emphasis on business impact, enforce appropriate model training and evaluation practices with relevant metrics to justify business value. 📍POC Management and Facilitation: Collaborate closely with Product Management and Sales to design and develop POC AI solutions, demonstrating and justifying their impact. 📍ML Operations and Scaling: Assess business needs to design and implement suitable ML training and inferencing pipelines and frameworks, promote best practices for ML engineering in training and model optimization, and design mechanisms for evaluating and tracking model performance. 📍Technical Leadership and Oversight: Provide technical guidance to AI engineers, ensuring high-quality technical delivery and continuous growth. Offer career advice and growth opportunities for engineers at various seniority levels.

Attributes

📍We are looking for a Principal Machine Learning Engineerwith the following: 📍Dealing with Ambiguity- You thrive in navigating dynamic environments, making informed decisions amid evolving scenarios and comfortably embracing uncertainty. 📍Collaborates- We're all about teamwork here. You will work closely with the Product Management and Engineering teams to align long-term AI capabilities and solutions with both business and technical requirements. Strong communication skills are essential for liaising with stakeholders across engineering, product, business, and client teams. 📍Nimble Learning- We're looking for someone who thrives in a startup environment. You're not afraid to get your hands dirty and learn through experimentation when faced with fresh challenges. You're always on the pulse of the latest ML trends and immersing yourself in new technologies. 📍Functional/ Technical Skills- MS/PhD in Engineering/Mathematics, Proven experience as a Principal, Technical Lead, or Engineering Manager building end-to-end ML systems (minimum 15+ years’ experience, including 10 years in AI/ML and at least 5 years specializing in DL/NLP).