Artificial Intelligence Researcher

SourcingXPress; Bengaluru; On-site; INR 800,000 - 1,500,000; Full time

Job summary

SourcingXPress is seeking a talented professional in Bengaluru for a permanent role focused on conducting scientific research to enhance agentic reasoning and learning. The ideal candidate should have a Bachelor's or Master's degree in a related field and 2-6+ years of experience in data science or ML engineering, with proficiency in PyTorch and TensorFlow. Responsibilities include formulating decision intelligence workflows and collaborating with AI Engineers. A strong curiosity and problem-solving ability are essential for this role.

Qualifications

• 2–6+ years in data science, applied research, or ML engineering roles.
• Proven hands-on experience with deep learning frameworks and reinforcement learning projects.

Responsibilities

• Conduct core scientific research to improve agentic reasoning reliability.
• Define agent–environment–reward formulations for decision intelligence workflows.
• Frame learning problems using Deep Reinforcement Learning.
• Design and evaluate reasoning paradigms.
• Curate datasets for training reasoning agents.
• Collaborate with AI Engineers to translate research outcomes.

Skills

Proficiency in PyTorch

Proficiency in TensorFlow

Reinforcement learning algorithms

Transformers and LLM fine-tuning

Classical machine learning concepts

Analytical skills

Education

Bachelor’s or Master’s in Computer Science, AI, Data Science

Job description

This is a Permanent role with a valued client of Antal International.

What You’ll Do

• Conduct core scientific research to improve agentic reasoning reliability and learning.
• Define agent–environment–reward formulations for decision intelligence workflows.
• Frame learning problems using Deep Reinforcement Learning, preference learning, or supervised fine‑tuning.
• Design and evaluate reasoning paradigms such as Chain-of-Thought, Tree-of-Thought, and multi-step planning.
• Curate datasets for training and evaluating reasoning agents.
• Contribute to knowledge system learning, including graph updates and ontology refinement.
• Collaborate closely with AI Engineers to translate research outcomes into production systems.

What We’re Looking For

Education

• Bachelor’s or Master’s in Computer Science, AI, Data Science, or a related field.
• Advanced degrees or a strong academic research background are preferred.

Professional Experience

• 2–6+ years in data science, applied research, or ML engineering roles.
• Proven hands‑on experience with deep learning frameworks and reinforcement learning projects.

Technical Skills

• Strong proficiency in PyTorch and TensorFlow.
• Working knowledge of reinforcement learning algorithms such as MDPs, PPO, DPO, GRPO, etc.
• Experience with transformers and LLM fine‑tuning (SFT, LoRA, QLoRA).
• Solid understanding of classical machine learning and statistical learning concepts.
• Excellent analytical and experimental design skills, with the ability to evaluate AI agents rigorously.

Personal Attributes

• Strong scientific curiosity and a passion for exploring challenging problems.
• Ability to balance deep research with practical impact, delivering meaningful results.
• Comfortable working on open-ended, complex problems in a collaborative environment.