Machine Learning Engineer

Title : Machine Learning Engineer Location : Bangalore (Local candidates : 4-6 Years Responsibilities : - Develop, deploy, and maintain ML models using AWS Sagemaker and MLFlow. - Build and optimize end-to-end ML pipelines. - Collaborate with data scientists to transition models into production. - Implement statistical and machine learning techniques (e.g., Time Series, NLP, Regression, SVMs). - Integrate models with existing systems and ensure scalability. - Perform hyperparameter tuning, model validation, and ensure CI/CD for ML pipelines. - Monitor deployed models for accuracy and performance. - Mentor junior ML engineers and data scientists. Technical Expertise : - ML Frameworks : TensorFlow, PyTorch, Scikit-learn, XGBoost - MLOps Tools : AWS Sagemaker, MLFlow, Docker, Kubernetes - Programming : Python, SQL, Java, R - Data Processing Tools : Apache Spark, Airflow, Kafka - Deployment : Flask, FastAPI, AWS Lambda, Kubernetes - Version Control : Git, GitHub, AWS Code Commit - Big Data Technologies : Hadoop, HDFS, AWS Redshift, Snowflake Qualifications : - Bachelor's/Master's in Computer Science, Data Science, or related fields. - 4 years hands-on experience with Sagemaker and MLFlow. - Strong in Python, TensorFlow, PyTorch, and MLOps practices. Preferred Certifications : AWS Certified Machine Learning - Specialty or related certifications (AWS, Azure, GCP). (ref:hirist.tech)

Location: bangalore, IN

Posted Date: 11/21/2024