Machine Learning Engineer
amgen
Job Description
Roles & Responsibilities:
- Develop and deploy applications that utilize LLMs such as OpenAI GPT 4, Claude, Gemini
- Build and maintain MLOps pipelines, including data ingestion, versioning, chunking, vectorization, feature engineering, model training, deployment, and monitoring.
- Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
- Implement DevOps/MLOps/LLMOps best practices 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
Functional Skills:
Must-Have Skills:
- Strong foundation in machine learning algorithms and techniques
- Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn, langchain)
- Familiar with AWS, Azure, or Google Cloud;
Good-to-Have Skills:
- Experience in building custom solutions using LLMs to meet specific business needs
- Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
- Experience with data engineering and pipeline development
Soft Skills:
- Excellent 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
- Strong presentation and public speaking skills.
Basic Qualifications:
- Master’s degree and 1-3 years of experience in Software Engineering, Data Science or Machine Learning Engineering preferred OR
- Bachelor’s degree and 3 to 5 years of Software Engineering, Data Science or Machine Learning Engineering OR
- Diploma and 7 to 9 years of I Software Engineering, Data Science or Machine Learning Engineering experience