Data Scientist

Enboarder; Bengaluru; On-site; INR 2,000,000 - 3,000,000; Full time

Job summary

Enboarder in Bengaluru is seeking an experienced Data Scientist to drive AI-driven personalization innovations. You will lead projects involving recommender systems, causal inference, and reinforcement learning. The ideal candidate has over 10 years of experience in building production ML systems, along with deep expertise in personalization and substantial proficiency with tools like PyTorch and TensorFlow. The role requires a commitment to onsite collaboration within a dynamic team focused on delivering high-impact solutions.

Qualifications

• 10+ years of experience building and deploying production ML systems at scale.
• Deep expertise in personalization, ranking, recommendation, causal inference, and transformers.
• Strong applied experience with LLMs, RAG, information retrieval, and reinforcement learning.

Responsibilities

• Architect and advance large-scale recommender and ranking models powering adaptive customer journeys.
• Design and deploy autonomous agents that understand goals and make real-time decisions.
• Lead experimentation frameworks that bridge causality, personalization, and business impact.

Skills

Machine Learning

Personalization

Recommendation Systems

Reinforcement Learning

Causal Inference

Python

PyTorch

TensorFlow

Education

M.Tech/PhD in Computer Science or related field

Tools

NumPy

Pandas

SciPy

JAX

Job description

Your Impact

You won’t just be joining a data science team — you’ll be shaping the future of autonomous, AI-driven personalization. As a Data Scientist, you’ll lead innovation at the intersection of recommender systems, causal inference, reinforcement learning, and LLM-based personalization. Your work will directly influence how millions of end-users experience hyper-personalized content in real time.

What You’ll Do

• Architect and advance large-scale recommender and ranking models powering adaptive customer journeys.
• Design and deploy autonomous agents that understand goals, make real-time decisions, and continuously optimize engagement.
• Partner with engineering and product leaders to translate cutting-edge AI research into scalable systems.
• Lead experimentation frameworks that bridge causality, personalization, and business impact.
• Mentor across teams — setting the data science bar for both experimentation and productization.
• Stay ahead of the curve by bringing ideas from academia and industry research into production.

What We’re Looking For

• M.Tech/PhD or related course in Computer Science, Machine Learning, or related field.
• 10+ years of experience building and deploying production ML systems at scale.
• Deep expertise in personalization, ranking, recommendation, causal inference, and transformers.
• Mastery of PyTorch / TensorFlow / JAX, and the Python data ecosystem (NumPy, Pandas, SciPy).
• Strong applied experience with LLMs, RAG, information retrieval, and reinforcement learning.
• Strong product sense, with the ability to balance research depth and real-world impact.
• An entrepreneurial, ownership-driven mindset — the ability to ship, iterate, and scale models fast.

Why Auxia

Impact - Be at the forefront of Agentic AI, driving the evolution of enterprise personalization — from manual segmentation to self-learning systems.

Influence - Work directly with Auxia’s founders and leadership team, alongside ex-Google, Meta, and Lyft engineers. Your insights will shape both our roadmap and the future of enterprise AI.

Work Environment - The following points:

• 100% Onsite, Bellandur (5 days/week) – because innovation thrives in collaboration.
• Fast-moving, research-driven environment where ideas turn into production within weeks.
• A team that believes in freedom with accountability — great minds solving hard problems, together.

Diversity, Equity & Inclusion - At Auxia, we are committed to building a workplace that celebrates diversity, fosters inclusion, and ensures equal opportunity. We welcome applicants from all backgrounds, regardless of race, gender, religion, age, sexual orientation, or disability.