Machine Learning Engineer III
8 hours ago
Machine Learning Engineer – Engineer III,34707
Location: Chennai (Onsite)
Employment Type: Full-time
Experience Level: 6+ years overall | 4+ years in development
CTC: Up to 24 LPA
We are seeking an experienced Machine Learning Engineer (Engineer III) to design, build, deploy, and scale production-grade, self-running ML solutions. This role focuses on developing end-to-end machine learning systems and integrating them into user-facing applications. The ideal candidate will combine strong ML engineering skills with software and frontend integration expertise.
Key ResponsibilitiesCollaborate with business and technical stakeholders to understand current and future machine learning requirements
Design and develop advanced ML models and algorithms to solve complex problems across structured and unstructured data
Build, maintain, and optimize scalable ML pipelines, architectures, and infrastructure
Apply machine learning and statistical techniques such as decision trees, logistic regression, Bayesian analysis, and related methods to improve system performance, quality, and accuracy
Implement ML solutions across domains including object detection, tracking, classification, perception, localization, and spatial/terrain mapping
Train, retrain, and fine-tune ML models as required to meet evolving business needs
Deploy ML models into production environments and run simulations to validate algorithms under multiple scenarios
Automate model training, deployment, and retraining using CI/CD/CT practices and MLOps frameworks
Enable robust model management, including versioning, traceability, and lifecycle governance across environments
Strong experience in AI/ML engineering
Hands-on expertise with Python-based ML frameworks (TensorFlow, PyTorch, Scikit-learn)
Experience working with BigQuery or large-scale data platforms
Proficiency in building and maintaining production-ready ML pipelines
Frontend or full-stack software engineering experience
Exposure to Java-based full-stack development
Experience integrating ML models with web or enterprise applications
Frontend & Application Integration
Experience with modern frontend frameworks such as React or Angular
Ability to build responsive, scalable, and intuitive UI components
Strong experience integrating APIs and visualizing ML outputs in applications
Machine Learning & MLOps
Data preprocessing, model training, evaluation, and deployment expertise
Understanding of MLOps practices for monitoring, scaling, and maintaining ML solutions in production
System Integration
Ability to embed ML models into applications for real-time or near-real-time predictions
Experience building workflows connecting backend services, ML pipelines, and frontend interfaces
Strong debugging, performance tuning, and optimization skills across ML and software layers
Bachelor's degree in Engineering, Computer Science, or a related field
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