Back
Mid-level Bangalore ML role with production ML, MLOps and broad skill requirements increases applicant competition.
Specialized production ML and recommender requirements limit cross-industry transferability.
Explicit 5+ years plus mandatory production ML, MLOps and recommender experience makes shortlisting highly selective.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and maintain large-scale machine learning systems focused on recommendation to improve user discovery and engagement on Mercari's marketplace app.
Collaborate with cross-functional teams to design, implement, and deploy scalable recommendation features using ML frameworks and cloud infrastructure.
Analyze large datasets through experimentation to refine algorithms; monitor system performance and conduct A/B testing for continuous improvement.
5+ years of professional experience in end-to-end development and deployment of large-scale ML systems in production.
Strong skills in ML frameworks (TensorFlow, PyTorch) and libraries (scikit-learn, NumPy, pandas).
Experience with backend engineering and MLOps including monitoring, logging, and system operations in production.
Communication skills for effective project collaboration across multiple teams and stakeholders.
Experienced in developing and optimizing recommendation systems with large-scale data sets.
Proficient in cloud platforms (AWS, GCP, Azure), containerization technologies (Docker, Kubernetes), and microservices architecture.
Capable of independently managing ML lifecycle from experimentation through deployment to production at scale.
Preferred experience includes functioning knowledge of enterprise search stacks and production use of deep learning models or LLMs.