Staff Data Scientist (AI/ML)

TL;DR

Staff Data Scientist (AI/ML): Building and deploying intelligent AI/ML systems that transform business processes by operating at the intersection of classical machine learning, GenAI, and modern agentic AI systems. Focus on designing, building, and leading experimentation for agentic AI systems, applying LLMs, and automating decision-making tasks.

Location: Bangalore

Company

hirify.global is a global technology leader providing an advertising platform that reaches over 2 billion people and is also shaping AI Commerce with Glance AI.

What you will do

• Lead experimentation, design, and build of agentic AI systems for autonomous model performance observation, experiment triggering, and ML workflow orchestration.
• Apply LLMs, embeddings, retrieval-augmented architectures, and multimodal generative models for semantic understanding and user preference modeling.
• Design intelligent agents to automate repetitive decision-making tasks like candidate generation tuning and content curation.
• Build and operate machine learning models on diverse, high-volume data sources for forecasting, classification, and prediction.
• Develop rapid experimentation workflows and design pipelines for data preparation, model training, evaluation, and deployment.
• Define best practices for monitoring ML model performance, identifying drifts, and contributing to ML/AI thought leadership.

Requirements

• Bachelor’s/Master’s in Computer Science, Statistics, Mathematics, or related fields (PhD is a plus).
• 8+ years of industry experience in ML/Data Science with deep proficiency in Python and frameworks like PyTorch, TensorFlow, or Scikit-learn.
• Solid understanding of ML fundamentals including regression, tree-based models, clustering, and time series.
• Hands-on experience building LLM-powered applications, chatbots, multi-agent systems, and implementing GenAI frameworks (e.g., LangChain, LangGraph, CrewAI).
• Proficient in deploying ML workflows/models in production systems, continuous monitoring, and ensuring model explainability.
• Strong experience with big data ecosystems (Spark, Hadoop) and cloud platforms (Azure, AWS, GCP/Vertex AI).
• Comfortable working in cross-functional teams and adapting to fast-paced environments with high energy and autonomy.

Culture & Benefits

• Opportunity to work on building enterprise platforms, acquiring and honing ML and AI skills.
• Modern work environment with a flexible schedule and smart, creative, down-to-earth people.
• Internal opportunities for role movement and bridge assignments with different teams.
• Benefits include free meals, gym/yoga classes, drink cart Thursdays, Funky Fridays, and ability to bring kids and pets to work.
• Emphasis on continuous learning and career progression through the hirify.global Live Your Potential program.
• Commitment to being an Equal Employment Opportunity employer, providing reasonable accommodations.