Life at EvoluteIQ

We at EvoluteIQ believe in the power of transformation. We are committed to building an industry leading technology that will revolutionize the way enterprises conduct business. To make that happen, we need people who are generous, genuine, self-driven, and collaborative.

People who not only want to be a part of a fast-growing and radical thinking company, but who are kind and caring—about each other. We at EvoluteIQ thrive in the company of each other and make each other a better version of ourselves every day.

Could that be you

We are seeking an experienced Principal Architect - AI/ML to lead the design, implementation, and governance of end-to-end AI/ML solutions across our GenAI powered low-code/AI automation platform. The ideal candidate has a proven track record of building, deploying, and managing scalable AI/ML systems - from data ingestion and feature engineering to model deployment, monitoring, and optimization in production environments.

What you'll do at EvoluteIQ:

Architect end-to-end AI/ML solutions from business problem identification through production deployment.
Build and evaluate ML models across regression, classification, clustering, anomaly detection, forecasting and predictive modelling.
Drive data exploration, feature engineering, model selection, tuning and validation.
Productionize ML models through APIs, batch pipelines and real-time inference services.
Establish and strengthen MLOps practices including model versioning, experiment tracking, model registry, CI/CD, monitoring, drift detection and retraining.
Design scalable, maintainable ML architectures for enterprise deployments.
Review ML designs, code and technical approaches.
Mentor and technically guide AI/ML Engineers and Data Scientists.
Partner with Product Management to translate business requirements into practical AI/ML capabilities.
Stay hands-on with prototyping, coding, troubleshooting and technical problem solving.

What will you bring to the team

12+ years of experience across software/data engineering and AI/ML, with strong hands-on ML delivery experience.
Strong expertise in Python, Machine Learning and Statistics.
Experience with Deep Learning, PyTorch / TensorFlow.
Strong hands-on experience with scikit-learn, Pandas, NumPy, XGBoost / LightGBM or similar.
Proven experience building and deploying production ML models.
Strong understanding of MLOps, model lifecycle management, monitoring and drift detection.
Experience with REST APIs / model-serving architectures, SQL and enterprise datasets.
Hands-on experience with Docker and software engineering practices.
Ability to architect scalable, production-grade ML systems.
Strong code and design review capabilities.

Good To Have:

You don't need experience across everything. Deep expertise in a few areas with strong overall ML fundamentals is what we're looking for.

We value a range of diverse backgrounds, experiences, and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes.