Machine Learning Researcher - Hired

Key Responsibilities

• Conduct cutting-edge research in machine learning and artificial intelligence to advance model capabilities and performance.
• Design, implement, and evaluate state-of-the-art deep learning algorithms using frameworks such as TensorFlow and PyTorch.
• Collaborate with engineering teams to translate research breakthroughs into scalable, production-ready solutions with measurable impact.
• Publish research findings in peer-reviewed venues and contribute to global AI/ML scholarly communities through conferences and open-source efforts.
• Monitor and integrate advancements from the research community to maintain technological innovation.
• Document methodologies, experiments, and insights for technical and non-technical stakeholders.

Requirements

• Domain expertise in finance, healthcare, engineering, or specialized fields to contribute to AI training and evaluation.
• Hands-on experience with deep learning frameworks including TensorFlow, PyTorch, or equivalents.
• Strong research acumen demonstrated through publications, technical reports, or open-source contributions.
• Ability to design and execute experiments, analyze results using statistical methods, and iterate toward robust outcomes.
• Clear communication skills to translate technical concepts for diverse audiences.