Senior Machine Learning Engineer / Data Scientist (Fresh PhD Graduates - India)

Job Description

FourKites is seeking a Senior Machine Learning Engineer/Data Scientist to join their team in Chennai. This role is designed for fresh PhD graduates looking to apply their research expertise in a dynamic industry setting. The candidate will tackle complex challenges in large language models (LLMs), optical character recognition (OCR), and model scaling.FourKites offers a structured onboarding program, access to computing resources, a collaborative environment, flexible work arrangements, and competitive compensation.Responsibilities:

• Lead research initiatives to improve OCR accuracy.
• Train and fine-tune LLMs using domain-specific data.
• Develop techniques to scale LLMs efficiently.
• Design and implement novel approaches to model optimization and evaluation.
• Collaborate with cross-functional teams to integrate AI solutions.
• Stay current with the latest research.
• Document methodologies, experiments, and findings.

Requirements:

• PhD in Computer Science, Machine Learning, AI, or a related field (completed within the last year).
• Strong understanding of deep learning architectures.
• Experience with OCR systems and techniques.
• Proficiency in Python and deep learning frameworks.
• Demonstrated ability to implement and adapt research papers into working code.
• Excellent problem-solving skills.
• Strong communication skills.

What FourKites Offers:

• Ideal transition from academic research to industry application
• Structured onboarding program designed specifically for recent PhD graduates
• Opportunity to work on frontier AI models with real-world impact
• Access to significant computing resources for ambitious research
• Collaborative environment with other top AI researchers and engineers
• Flexible work arrangements and competitive compensation
• Support for continued professional development and conference attendance
• Clear path for growth into senior technical or leadership roles
• Medical benefits start on first day of employment
• 36 PTO days( Sick, Casual and Earned) , 5 recharge days, 2 volunteer days
• Home Office setups and Technology reimbursement
• Lifestyle & Family benefits
• Annual Swags/ Festive Swags
• Ongoing learning & development opportunities ( Professional development program, Toast Master club etc.)