Director Machine Learning (Recommendation Systems, AI)

TL;DR

Director Machine Learning (Recommendation Systems, AI): Driving the vision and strategy for the Recommendation Systems team at hirify.global, playing a transformational role in the company's AI aspirations. Focus on designing, building, and operating large-scale recommendation systems to drive ad revenue and improve personalization technology.

Location: Must be based in Bangalore, India

Company

hirify.global AI is an AI commerce platform shaping the next wave of e-commerce with inspiration-led shopping.

What you will do

• Define the vision for recommendation applications, focused on machine learning.
• Provide technical leadership for architecture, ML approaches, performance monitoring, and production deployments.
• Manage, develop, coach, and mentor a team of machine learning engineers and big data specialists.
• Partner with business and product teams to predict system behavior, establish metrics, identify bugs, and improve debugging skills.
• Lead data mining and collection procedures, especially focused on unstructured and siloed data sets.
• Drive the implementation of models into Production through various Engineering teams.

Requirements

• PhD or Master’s in a quantitative field such as Computer Science, Electrical Engineering, Statistics, Mathematics, Operations Research or Economics, Analytics, Data Science. Or Bachelor's with additional experience.
• 12+ years of ML related industry experience working on large-scale recommendation systems or personalization with 5+ years in a leadership role.
• Deep expertise in applied algorithms, models, and techniques used to design, scale, and optimize large-scale recommendation systems.
• Comfortable with software programming and statistical platforms such as Tensorflow, PyTorch, scikit-learn, etc.
• Comfortable with using one or more distributed training technologies such as Apache spark, RAPIDS, dask, etc. along with MLOps stack such as kubeflow, mlflow, or their cloud counterparts
• Excellent technical and business communication skills.

Culture & Benefits

• Healthy work-life balance.
• Salad bar and nutritious meals.
• Fitness events and play arena.