Machine Learning Engineer
- Cradlepoint
- 5 - 7 years
- Bengaluru
- 9 months ago
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Job Description
- Design, develop, and optimize machine learning models for large-scale applications.
- Lead the end-to-end ML model lifecycle, including data preprocessing, feature engineering, training, tuning, and deployment.
- Architect, train, and deploy ML and deep learning models using AWS SageMaker and other cloud-based ML services.
- Guide and mentor junior ML engineers, establishing best practices for model development and productionization.
- Collaborate cross-functionally with data scientists, software engineers, and business stakeholders to align ML solutions with business objectives.
- Optimize model training and inference for performance, scalability, and cost efficiency.
- Stay up to date with the latest ML research and integrate cutting-edge techniques into production systems.
- Automate model retraining, monitoring, and deployment using MLOps and CI/CD pipelines.
- Work with distributed computing frameworks (e.g., Spark) for large-scale data processing and training.
- 5+ years of experience in machine learning, deep learning, or AI-related fields.
- Bachelors, Masters, or PhD in Computer Science, AI, Data Science, or a related field.
- Strong programming skills in Python, Java, or C++ and expertise in ML frameworks like TensorFlow, PyTorch, or JAX.
- Extensive hands-on experience with AWS, including SageMaker, S3, Lambda, Step Functions, and other AI/ML services.
- Deep expertise in deep learning architectures (CNNs, RNNs, Transformers) and model training techniques.
- Strong knowledge of hyperparameter tuning, distributed training, and model optimization.
- Experience deploying and maintaining ML models in production environments at scale.
- Proficiency in MLOps best practices, including CI/CD pipelines, monitoring, and logging for ML models.
- Experience with big data processing frameworks like Spark is a plus.
- Strong problem-solving and leadership skills, with the ability to drive ML initiatives and mentor team members.
Job Classification
Industry: Software ProductFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Machine Learning EngineerEmployement Type: Full timeContact Details:
Company: CradlepointLocation(s): Bengaluru
Keyskills: Computer science deep learning C++ data science Machine learning Data processing Mentor Monitoring Analytics Python
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