Machine Learning Engineer

Role - ML Engineer

Experience - 3+yrs

Location - Bangalore

What You Will Achieve and Key Responsibilities

AI System Development

● Design and develop Computer Vision, NLP, and Recommendation Systems for our applications.

● Research and implement novel deep learning architectures to solve complex data science problems.

● Develop, train, and deploy deep learning and machine learning models that are scalable and extensible.

Full Product Lifecycle Participation

● Collaborate with product managers, UX designers, and end-users to integrate software and AI components into fully functional systems.

● Participate in the complete product lifecycle—from concept design to development, integration, testing, and deployment.

Scalable Solutions

● Build products that handle large data volumes efficiently while remaining highly scalable for onboarding new clients.

● Design complete end-to-end data pipelines and ML pipelines for seamless integration into production environments.

Research & Collaboration

● Work closely with the leadership team on research and development efforts to explore cutting-edge technologies.

● Uphold our culture of engineering excellence by maintaining high standards in code quality and innovation.

Minimum Qualifications

● Bachelor's or Master's degree in Science or Engineering with strong programming, critical thinking, and analytical skills.

● Strong conceptual understanding of machine learning and deep learning principles.

● Expertise in Computer Vision or Natural Language Processing (NLP).

● Hands-on experience implementing ML projects in Python using libraries like NumPy, scikit-learn, matplotlib, pandas, etc.

● Proficiency in training deep learning models using TensorFlow/Keras or PyTorch.

● Ability to write clean, efficient, and bug-free code.

● Proven ability to lead initiatives from concept to operation while navigating challenges effectively.