Machine Learning Engineer

Role - Machine Learning 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.