Machine Learning Engineer
1 month ago
Job Summary:
We are seeking a highly skilled Machine Learning Engineer to join our team at TekPillar. The successful candidate will be responsible for developing, deploying, and maintaining machine learning models using AWS Sagemaker and MLFlow.
Key Responsibilities:
- Develop and deploy machine learning models using AWS Sagemaker and MLFlow.
- Build and optimize end-to-end machine learning pipelines.
- Collaborate with data scientists to transition models into production.
- Implement statistical and machine learning techniques, including time series, NLP, regression, and SVMs.
- Integrate models with existing systems and ensure scalability.
- Perform hyperparameter tuning, model validation, and ensure CI/CD for machine learning pipelines.
- Monitor deployed models for accuracy and performance.
- Mentor junior machine learning engineers and data scientists.
Technical Expertise:
- Machine learning frameworks: TensorFlow, PyTorch, Scikit-learn, XGBoost.
- MLOps tools: AWS Sagemaker, MLFlow, Docker, Kubernetes.
- Programming languages: 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 or Master's degree in Computer Science, Data Science, or related field.
- 4+ years of hands-on experience with Sagemaker and MLFlow.
- Strong skills in Python, TensorFlow, PyTorch, and MLOps practices.
Preferred Certifications: AWS Certified Machine Learning - Specialty or related certifications (AWS, Azure, GCP).
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