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Posted 8 days ago

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Senior MTS

BengaluruOn-siteFull-time

AI Summary

A Senior MTS at Weekday AI designs, develops, and evaluates reinforcement learning environments, datasets, and coding benchmarks to advance AI model training, evaluation, and agentic workflows in a fast-paced research setting.

About this role

饾棫饾椀饾椂饾榾 饾椏饾椉饾椆饾棽 饾椂饾榾 饾棾饾椉饾椏 饾椉饾椈饾棽 饾椉饾棾 饾榿饾椀饾棽 饾棯饾棽饾棽饾椄饾棻饾棶饾槅'饾榾 饾棸饾椆饾椂饾棽饾椈饾榿饾榾

饾棪饾棶饾椆饾棶饾椏饾槅 饾椏饾棶饾椈饾棿饾棽: 饾棩饾榾 饾煰饾煬饾煬饾煬饾煬饾煬饾煬 - 饾棩饾榾 饾煵饾煬饾煬饾煬饾煬饾煬饾煬 (饾椂饾棽 饾棞饾棥饾棩 饾煰饾煬-饾煵饾煬 饾棢饾棧饾棓)

Experience: 1+ yrs

Location: Bengaluru, Karnataka, India

Job Type: Full-time

We are seeking a highly motivated and technically curious professional to contribute to the development of advanced AI systems by supporting cutting-edge model training, evaluation, and reinforcement learning initiatives. This role is ideal for individuals who are passionate about artificial intelligence, large language models, coding environments, and agentic AI systems, and who enjoy solving complex technical challenges in a fast-paced research-driven environment.

As a member of the AI team, you will work on designing, evaluating, and improving AI models through high-quality datasets, reinforcement learning environments, coding tasks, and model evaluation frameworks. You will collaborate with researchers, engineers, and cross-functional teams to develop scalable AI solutions that enhance model reasoning, performance, and reliability while contributing to next-generation AI capabilities.

Requirements

Key Responsibilities

  • Design, develop, and improve reinforcement learning environments for AI model training and evaluation.
  • Create, validate, and curate high-quality datasets to improve AI model performance and reliability.
  • Develop coding tasks, evaluation benchmarks, and agentic workflows that support advanced AI capabilities.
  • Collaborate with AI researchers and engineers to evaluate model outputs and identify opportunities for improvement.
  • Analyze AI model performance using structured evaluation methodologies and provide actionable feedback.
  • Contribute to the development of scalable AI workflows, automation processes, and evaluation frameworks.
  • Support enterprise AI initiatives by building reliable data pipelines and structured annotation processes.
  • Continuously monitor emerging AI research, large language model advancements, and best practices in model evaluation.
  • Document methodologies, evaluation criteria, and technical findings to support knowledge sharing and continuous improvement.
  • Work closely with cross-functional teams to deliver high-quality AI solutions aligned with evolving project objectives.

What Makes You a Great Fit

  • 1+ years of experience in AI, Machine Learning, Software Engineering, Data Annotation, Research, or related technical fields.
  • Strong understanding of artificial intelligence concepts, large language models, reinforcement learning, or model evaluation methodologies.
  • Proficiency in programming, problem-solving, and analytical thinking with the ability to work on technical AI projects.
  • Experience working with coding environments, automation workflows, or AI evaluation frameworks is an advantage.
  • Strong attention to detail and commitment to producing high-quality technical outputs.
  • Ability to learn quickly and adapt to rapidly evolving AI technologies and research.
  • Excellent communication and collaboration skills with the ability to work effectively in cross-functional teams.
  • Self-driven mindset with strong curiosity, ownership, and a passion for advancing next-generation AI systems.
  • Comfortable working in a fast-paced, innovation-focused environment while managing multiple priorities effectively.
  • Enthusiasm for contributing to cutting-edge AI research, model improvement, and intelligent automation technologies.

Skills

AI EvaluationCoding TasksData CurationLarge Language ModelsMachine LearningModel TrainingPythonReinforcement Learning

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