Navtech - AI / ML Engineer - Pandas / Numpy

Description :

Navtech is looking for an AI / ML Engineer to join our growing data science and machine learning team. In this role, you will be responsible for building, deploying, and maintaining machine learning models and pipelines that power intelligent products and data-driven decisions.

Working as an AI / ML Engineer at Navtech, you will :

• Design, develop, and deploy machine learning models for classification, regression, clustering, recommendations, or NLP tasks.
• Clean, preprocess, and analyze large datasets to extract meaningful insights and features.
• Work closely with data engineers to develop scalable and reliable data pipelines.
• Experiment with different algorithms and techniques to improve model performance.
• Monitor and maintain production ML models, including retraining and model drift detection.
• Collaborate with software engineers to integrate ML models into applications and services.
• Document processes, experiments, and decisions for reproducibility and transparency.
• Stay current with the latest research and trends in machine learning and AI.

Who Are We Looking for Exactly? :

similar.

Well REALLY love you if you :

Why Navtech? :

About us :

Navtech is a premier IT software and Services provider. Navtechs mission is to increase public cloud

adoption and build cloud-first solutions that become trendsetting platforms of the future. We have been recognized as the Best Cloud Service Provider at GoodFirms for ensuring good results with quality services. Here, we strive to innovate and push technology and service boundaries to provide best-in-class technology solutions to our clients at scale. We deliver to our clients globally from our state-of-the-art design and development centers in the US & Hyderabad.

Were a fast-growing company with clients in the United States, UK, and Europe. We are also a certified AWS partner. You will join a team of talented developers, quality engineers, product managers whose mission is to impact above 100 million people across the world with technological services by the year 2030.

(ref : hirist.tech)