Machine Learning Engineer III

Location:

Employment Type:

Experience Level:

Compensation:

• Collaborate with business and technology stakeholders to understand current and future ML requirements.
• Design and develop innovative ML models and software algorithms to solve complex problems in both structured and unstructured data environments.
• Design, build, maintain, and optimize scalable ML pipelines, architectures, and infrastructure.
• Apply machine learning and statistical modeling techniques such as decision trees, logistic regression, Bayesian analysis, and other advanced methods to improve system performance, data quality, and accuracy.
• Adapt ML solutions to advanced use cases including virtual reality (VR), augmented reality (AR), object detection, tracking, classification, and terrain mapping.
• Train, retrain, and fine-tune ML models and systems as required.
• Deploy ML models into production environments and run simulations to test algorithms across various scenarios.
• Automate model training, deployment, and retraining using Agile practices, CI/CD/CT pipelines, and MLOps frameworks.
• Enable model management practices including versioning, traceability, modularity, and consistency across environments.
  

Required Skills

• Strong experience in AI/ML concepts and applications.
• Proficiency with BigQuery or similar large-scale data platforms.
• Hands-on experience with Python and ML libraries such as TensorFlow, PyTorch, and Scikit-learn.
• Solid understanding of statistics, experimental design, and model evaluation techniques.
  

Preferred Skills

• Frontend software engineering experience.
• Full-stack development experience, preferably with Java-based ecosystems.
• Experience integrating ML outputs into user-facing applications.
  

Experience Requirements

• Minimum 6+ years of overall IT experience.
• At least 4+ years of hands-on development experience.
• Practical experience in at least two programming languages, or advanced proficiency in one.
  

• Bachelor’s degree in Computer Science, Engineering, or a related field.
  

Frontend & Application Development

• Strong knowledge of modern frontend frameworks such as React or Angular.
• Ability to design and implement responsive, scalable, and intuitive UI components.
• Experience with API integration and data visualization for ML-driven insights.
  

Machine Learning Engineering

• Hands-on experience with data preprocessing, model training, and production deployment.
• Understanding of MLOps practices for monitoring, scaling, and maintaining ML solutions.
  

Integration & Optimization

• Ability to embed ML models into applications for real-time or near real-time predictions.
• Experience building workflows that connect backend services, ML pipelines, and frontend interfaces.
• Strong debugging, performance tuning, and optimization skills across systems.
  

• Onsite (Chennai)