Machine Learning Engineer III

8 hours ago


Chennai, Tamil Nadu, India Umanist Staffing Full time

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

Role Overview

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 Responsibilities
  • Collaborate 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

Required Skills
  • 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

Preferred Skills
  • Frontend or full-stack software engineering experience

  • Exposure to Java-based full-stack development

  • Experience integrating ML models with web or enterprise applications

Additional Expectations (Hybrid ML + Application Focus)

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

Education
  • Bachelor's degree in Engineering, Computer Science, or a related field


 

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