Machine Learning Engineer
4 weeks ago
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)
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