Machine Learning Engineer

Role - Machine Learning EngineerExperience - 3+YrsLocation - BangaloreWhat You Will Achieve and Key ResponsibilitiesAI 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.

Apply Now