Machine Learning Engineer
- Randomtrees
- 2 - 6 years
- Chennai
- 7 days ago
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Job Description
Job Summary: We are seeking a talented and driven Machine Learning Engineer with 2-5 years of experience to join our dynamic team in Chennai. The ideal candidate will have a strong foundation in machine learning principles and extensive hands-on experience in building, deploying, and managing ML models in production environments. A key focus of this role will be on MLOps practices and orchestration, ensuring our ML pipelines are robust, scalable, and automated.
Key Responsibilities:
- ML Model Deployment & Management: Design, develop, and implement end-to-end MLOps pipelines for deploying, monitoring, and managing machine learning models in production.
- Orchestration: Utilize orchestration tools (e.g., Apache Airflow, Kubeflow, AWS Step Functions, Azure Data Factory) to automate ML workflows, including data ingestion, feature engineering, model training, validation, and deployment.
- CI/CD for ML: Implement Continuous Integration/Continuous Deployment (CI/CD) practices for ML code, models, and infrastructure, ensuring rapid and reliable releases.
- Monitoring & Alerting: Establish comprehensive monitoring and alerting systems for deployed ML models to track performance, detect data drift, model drift, and ensure operational health.
- Infrastructure as Code (IaC): Work with IaC tools (e.g., Terraform, CloudFormation) to manage and provision cloud resources required for ML workflows.
- Containerization: Leverage containerization technologies (Docker, Kubernetes) for packaging and deploying ML models and their dependencies.
- Collaboration: Collaborate closely with Data Scientists, Data Engineers, and Software Developers to translate research prototypes into production-ready ML solutions.
- Performance Optimization: Optimize ML model inference and training performance, focusing on efficiency, scalability, and cost-effectiveness.
- Troubleshooting & Debugging: Troubleshoot and debug issues across the entire ML lifecycle, from data pipelines to model serving.
- Documentation: Create and maintain clear technical documentation for MLOps processes, pipelines, and infrastructure.
Required Skills & Qualifications:
- Bachelor's or Master's degree in Computer Science, Data Science, Engineering, or a related quantitative field.
- 2-5 years of professional experience as a Machine Learning Engineer, MLOps Engineer, or a similar role.
- Strong proficiency in Python and its ML ecosystem (e.g., scikit-learn, TensorFlow, PyTorch, Pandas, NumPy).
- Hands-on experience with at least one major cloud platform (AWS, Azure, GCP) and their relevant ML/MLOps services (e.g., AWS SageMaker, Azure ML, GCP Vertex AI).
- Proven experience with orchestration tools like Apache Airflow, Kubeflow, or similar.
- Solid understanding and practical experience with MLOps principles and best practices.
- Experience with containerization technologies (Docker, Kubernetes).
- Familiarity with CI/CD pipelines and tools (e.g., GitLab CI/CD, Jenkins, Azure DevOps, AWS CodePipeline).
- Knowledge of database systems (SQL and NoSQL).
- Excellent problem-solving, analytical, and debugging skills.
- Strong communication and collaboration abilities, with a capacity to work effectively in an Agile environment.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & Analytics
Role Category: Data Science & Machine Learning
Role: Machine Learning Engineer
Employement Type: Full time
Contact Details:
Company: RandomtreesLocation(s): Chennai
Keyskills: Mlops Machine Learning Python SQL
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Voice Process Requirements\r\nLanguages:\r\n\r\nEnglish & Tamil\r\nEnglish & Hindi\r\n\r\nEligibility Criteria:\r\nGood communication skills\r\nGraduates only (No active backlogs)\r\nCandidates (no far-location profiles)\r\nSalary: Up to 20,000/month (depending on performance)
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