Requirements
- 2 to 6 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
Job Details
- Location: Hybrid, Bangalore
Interview Process
- Technical interview (coding, ML concepts, project walkthrough)
- System design and architecture round
- Culture fit and leadership interaction
- Final offer discussion
