Machine Learning Engineer

Requirements

Requirements

• 2+ years of relevant experience in ML and AI roles
• Strong grasp of ML, deep learning, and model deployment
• Proficient in Python and libraries like numpy, pandas, sklearn, etc
• Experience with TensorFlow/Keras or PyTorch
• Familiar with AWS/GCP platforms
• Strong coding skills and ability to ship production-ready solutions
• Bachelor's/Master's in Engineering or related field
• Curious, self-driven, and a fast learner
• Passionate about NLP, LLMs, and state-of-the-art AI technologies
• Comfortable with collaboration across globally distributed teams
• Preferred (Not Mandatory):
• Experience with Django, databases, and full-stack environments
• Familiarity with OCR and PDF processing
• Competitive programming or Kaggle participation
• Prior work with distributed teams across time zones
  

Responsibilities

• Design, develop, and deploy NLP, CV, and recommendation systems
• Train and implement deep learning models
• Research and explore novel ML architectures
• Build and maintain end-to-end ML pipelines
• Collaborate across product, design, and engineering teams
• Work closely with business stakeholders to shape product features
• Ensure high scalability and performance of AI solutions
• Uphold best practices in engineering and contribute to a culture of excellence
• Actively participate in R&D and innovation within the team