Machine Learning Engineer

5 - 9 years

0 Lacs

Posted:1 day ago| Platform: Shine logo

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Work Mode

On-site

Job Type

Full Time

Job Description

As a Machine Learning Engineer, you will be responsible for designing, developing, deploying, and maintaining scalable ML solutions in a cloud-native environment. Your key responsibilities will include: - Designing and implementing machine learning models and pipelines using AWS SageMaker and related services. - Developing and maintaining robust data pipelines for training and inference workflows. - Collaborating with data scientists, engineers, and product teams to translate business requirements into ML solutions. - Implementing MLOps best practices including CI/CD for ML, model versioning, monitoring, and retraining strategies. - Optimizing model performance and ensuring scalability and reliability in production environments. - Monitoring deployed models for drift, performance degradation, and anomalies. - Documenting processes, architectures, and workflows for reproducibility and compliance. To excel in this role, you should possess the following skills and qualifications: - Strong programming skills in Python and familiarity with ML libraries (e.g., scikit-learn, TensorFlow, PyTorch). - Solid understanding of machine learning algorithms, model evaluation, and tuning. - Hands-on experience with AWS ML services, especially SageMaker, S3, Lambda, Step Functions, and CloudWatch. - Experience with data engineering tools (e.g., Apache Airflow, Spark, Glue) and workflow orchestration. - Proficiency in MLOps tools and practices (e.g., MLflow, Kubeflow, CI/CD pipelines, Docker, Kubernetes). - Familiarity with monitoring tools and logging frameworks for ML systems. - Excellent problem-solving and communication skills. Preferred qualifications for this role include: - AWS Certification (e.g., AWS Certified Machine Learning Specialty). - Experience with real-time inference and streaming data. - Knowledge of data governance, security, and compliance in ML systems. Please note that this is a full-time position with the work location being in person, either in Kochi or Bangalore on a hybrid basis.,

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