Job Description
KEY FEATURES OF THE POSITION
Functional / Technical
Develop, deploy, and optimize machine learning and AI solutions that address complex business
challenges.
Create multi-agent systems and equip AI models with function/tool-calling capabilities
Design and implement RAG systems to ground AI responses in enterprise data
Assess and integrate AI models (e.g. LLMs) ensuring optimal performance and reliability
Optimize agentic workflows and AI agents for production use cases
Testing and optimizing system prompts and few-shot example to ensure accurate, consistent, and safe AI
outputs
Performance evaluation of machine learning and AI models using appropriate metrics, evaluation sets and
techniques, and continuously iterate and improve upon them
Collaborate with platform teams, data engineers, data scientists, and other stakeholders to integrate
machine learning solutions into existing systems and processes
Participate in code reviews, testing, and debugging to ensure the quality and reliability of machine learning
solutions
Skills Requirements Of The Position
Competencies
Strong problem-solving and analytical skills, with the ability to think critically and creatively about complex
challenges
Excellent communication and collaboration skills, with the ability to work effectively with cross-functional
teams and stakeholders at all levels of the organization
Ability to manage personal workloads effectively, to prioritize tasks, manage timelines, and deliver high-
quality results on schedule
Continuous learning mindset, with a passion for staying up to date with the latest advancements in
machine learning and artificial intelligence
Attention to detail and commitment to producing high-quality, reliable, and maintainable code
Education And Skills Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Mathematics, Statistics, or a related
field
Strong programming skills in Python with experience in machine learning libraries and deep learning
frameworks such as TensorFlow or PyTorch
Proven experience working with Large Language Models (LLMs)
Good understanding of AI agents & agentic workflows, LLM orchestration frameworks and reasoning
patterns
Experience with data preprocessing, feature engineering, and model selection and evaluation techniques
