Associate Machine Learning Engineer
Amgen
Associate Machine Learning Engineer
Job Description
Associate Machine Learning Engineer
What you will do
- Collaborate with data scientists to develop, train, and evaluate machine learning models.
- Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
- Support implementation of DevOps/MLOps best practices to automate ML workflows and improve efficiency.
- Support development and implementation of monitoring systems to track model performance and identify issues.
- Conduct A/B testing and experimentation to optimize model performance.
- Work closely with data scientists, engineers, and product teams to deliver ML solutions.
What we expect of you
- Bachelor’s degree with 2-5 years of experience in Computer Science, IT or related field
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.)
Must-Have Skills
- Solid theoretical foundation in machine learning algorithms and techniques
- Experience in at least one MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
- Proficiency in Python and at least one ML library (e.g., TensorFlow, PyTorch, Scikit-learn)
- Strong analytical and problem-solving skills
- Ability to learn quickly
- Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
- Experience with data engineering and pipeline development
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
- Knowledge of NLP techniques for text analysis and sentiment analysis
- Strong analytical and troubleshooting skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Ability to learn quickly, be organized and detail oriented
Good-to-Have Skills
- Good communication and interpersonal skills
Compensation
2-5
Locations
- Hyderabad, India
Salary
Estimated Salary Rangehigh confidence
15,000 - 30,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Solid theoretical foundation in machine learning algorithms and techniquesintermediate
- Experience in at least one MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)intermediate
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)intermediate
- Proficiency in Python and at least one ML library (e.g., TensorFlow, PyTorch, Scikit-learn)intermediate
- Strong analytical and problem-solving skillsintermediate
- Ability to learn quicklyintermediate
- Good communication and interpersonal skillsintermediate
- Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processingintermediate
- Experience with data engineering and pipeline developmentintermediate
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classificationintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
- Strong analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Ability to learn quickly, be organized and detail orientedintermediate
Required Qualifications
- Bachelor’s degree with 2-5 years of experience in Computer Science, IT or related field (experience)
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) (experience)
Responsibilities
- Collaborate with data scientists to develop, train, and evaluate machine learning models.
- Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
- Support implementation of DevOps/MLOps best practices to automate ML workflows and improve efficiency.
- Support development and implementation of monitoring systems to track model performance and identify issues.
- Conduct A/B testing and experimentation to optimize model performance.
- Work closely with data scientists, engineers, and product teams to deliver ML solutions.
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Associate Machine Learning Engineer
Amgen
Associate Machine Learning Engineer
Job Description
Associate Machine Learning Engineer
What you will do
- Collaborate with data scientists to develop, train, and evaluate machine learning models.
- Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
- Support implementation of DevOps/MLOps best practices to automate ML workflows and improve efficiency.
- Support development and implementation of monitoring systems to track model performance and identify issues.
- Conduct A/B testing and experimentation to optimize model performance.
- Work closely with data scientists, engineers, and product teams to deliver ML solutions.
What we expect of you
- Bachelor’s degree with 2-5 years of experience in Computer Science, IT or related field
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.)
Must-Have Skills
- Solid theoretical foundation in machine learning algorithms and techniques
- Experience in at least one MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
- Proficiency in Python and at least one ML library (e.g., TensorFlow, PyTorch, Scikit-learn)
- Strong analytical and problem-solving skills
- Ability to learn quickly
- Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
- Experience with data engineering and pipeline development
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
- Knowledge of NLP techniques for text analysis and sentiment analysis
- Strong analytical and troubleshooting skills
- Strong verbal and written communication skills
- Ability to work effectively with global, virtual teams
- High degree of initiative and self-motivation
- Ability to manage multiple priorities successfully
- Team-oriented, with a focus on achieving team goals
- Ability to learn quickly, be organized and detail oriented
Good-to-Have Skills
- Good communication and interpersonal skills
Compensation
2-5
Locations
- Hyderabad, India
Salary
Estimated Salary Rangehigh confidence
15,000 - 30,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Solid theoretical foundation in machine learning algorithms and techniquesintermediate
- Experience in at least one MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)intermediate
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)intermediate
- Proficiency in Python and at least one ML library (e.g., TensorFlow, PyTorch, Scikit-learn)intermediate
- Strong analytical and problem-solving skillsintermediate
- Ability to learn quicklyintermediate
- Good communication and interpersonal skillsintermediate
- Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processingintermediate
- Experience with data engineering and pipeline developmentintermediate
- Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classificationintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
- Strong analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, virtual teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Ability to learn quickly, be organized and detail orientedintermediate
Required Qualifications
- Bachelor’s degree with 2-5 years of experience in Computer Science, IT or related field (experience)
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) (experience)
Responsibilities
- Collaborate with data scientists to develop, train, and evaluate machine learning models.
- Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
- Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
- Support implementation of DevOps/MLOps best practices to automate ML workflows and improve efficiency.
- Support development and implementation of monitoring systems to track model performance and identify issues.
- Conduct A/B testing and experimentation to optimize model performance.
- Work closely with data scientists, engineers, and product teams to deliver ML solutions.
Tags & Categories
Answer 10 quick questions to check your fit for Associate Machine Learning Engineer @ Amgen.
10 Questions
~2 Minutes
Instant Score
Related Books and Jobs