Senior Associate, Agents / Chatbots IC
Amgen
Senior Associate, Agents / Chatbots IC
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
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
- Implement DevOps/MLOps standards to automate ML workflows and improve efficiency
- Develop and implement 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
- Stay updated with the latest trends and advancements
What we expect of you
- Master’s degree with 5+ years of experience in Computer Science, IT or related field
- Or Bachelor’s degree with 5-9 years of experience in Computer Science, IT or related field
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus
Must-Have Skills
- Solid foundation in machine learning algorithms and techniques
- Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Outstanding 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
- Experience in analyzing time-series data for forecasting and trend analysis
- Excellent analytical and troubleshooting skills
- Strong verbal and written communication skills
- Strong presentation and public speaking skills
Good-to-Have Skills
- Good communication and social skills
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Compensation
5-9
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
25,000 - 40,000 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 foundation in machine learning algorithms and techniquesintermediate
- Experience in 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 relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)intermediate
- Outstanding analytical and problem-solving skillsintermediate
- Ability to learn quicklyintermediate
- Good communication and social 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
- Experience in analyzing time-series data for forecasting and trend analysisintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree with 5+ years of experience in Computer Science, IT or related field (experience)
- Or Bachelor’s degree with 5-9 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.) are a plus (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
- Implement DevOps/MLOps standards to automate ML workflows and improve efficiency
- Develop and implement 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
- Stay updated with the latest trends and advancements
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Senior Associate, Agents / Chatbots IC
Amgen
Senior Associate, Agents / Chatbots IC
Job Description
At Amgen, if you feel like you’re part of something bigger, it’s because you are. Our shared mission—to serve patients living with serious illnesses—drives all that we do.
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
- Implement DevOps/MLOps standards to automate ML workflows and improve efficiency
- Develop and implement 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
- Stay updated with the latest trends and advancements
What we expect of you
- Master’s degree with 5+ years of experience in Computer Science, IT or related field
- Or Bachelor’s degree with 5-9 years of experience in Computer Science, IT or related field
- Certifications on GenAI/ML platforms (AWS AI, Azure AI Engineer, Google Cloud ML, etc.) are a plus
Must-Have Skills
- Solid foundation in machine learning algorithms and techniques
- Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow)
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
- Outstanding 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
- Experience in analyzing time-series data for forecasting and trend analysis
- Excellent analytical and troubleshooting skills
- Strong verbal and written communication skills
- Strong presentation and public speaking skills
Good-to-Have Skills
- Good communication and social skills
What you can expect of us
- Competitive benefits
- Collaborative culture
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Compensation
5-9
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
25,000 - 40,000 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 foundation in machine learning algorithms and techniquesintermediate
- Experience in 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 relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)intermediate
- Outstanding analytical and problem-solving skillsintermediate
- Ability to learn quicklyintermediate
- Good communication and social 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
- Experience in analyzing time-series data for forecasting and trend analysisintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree with 5+ years of experience in Computer Science, IT or related field (experience)
- Or Bachelor’s degree with 5-9 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.) are a plus (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
- Implement DevOps/MLOps standards to automate ML workflows and improve efficiency
- Develop and implement 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
- Stay updated with the latest trends and advancements
Benefits
- general: Competitive benefits
- general: Collaborative culture
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories