Senior Machine Learning Engineer

Amgen; India; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Amgen in India seeks a Senior Machine Learning Engineer to build scalable ML platforms and workflows for scientists to deploy and manage AI/ML models. You will work with engineers, data scientists, and domain experts to productionize ML solutions for drug discovery and development.

This role suits engineers early in their ML careers who want to grow in MLOps, cloud platforms, and applied AI in life sciences.

Qualifications

• Bachelor's degree in CS or related field.
• 4–8 years of experience in Computer Science, IT or related field.
• Experience delivering ML models to production and operating ML pipelines.

Responsibilities

• Deliver AI/ML-enabled applications with deployed models from classic ML to NLP and large language models.
• Develop and maintain ML platform capabilities: data pipelines and feature engineering.
• Build model training, evaluation and deployment pipelines.
• Implement experiment tracking and model registry systems.
• Monitor model performance and enable production-grade solutions.
• Collaborate to translate experiments into scalable enterprise apps.
• Create and maintain scalable MLOps solutions on cloud platforms.
• Develop training content and knowledge articles for resident scientists.

Skills

Python

Version control

Test driven development

Cloud platforms

AI/ML model training & serving

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

AWS

Azure

MLflow

Kubeflow

Terraform

Docker

Kubernetes

Spark

TensorFlow

PyTorch

LangChain

Job description

Career Category

Engineering

Job Description

Senior Machine Learning Engineer

In this role, you will contribute to the development of scalable machine learning platforms and workflows that enable scientists and researchers across Amgen to build, deploy, and manage AI/ML models. You will work closely with experienced engineers, data scientists, and domain experts to productionize machine learning solutions primarily in support of drug discovery and development.

This is an ideal role for engineers early in their ML engineering careers who want to grow their expertise in MLOps, cloud platforms, and applied AI in life sciences.

Roles & Responsibilities

• Deliver AI and ML-enabled applications, with deployed models ranging from classical ML models to natural language processing, protein language models, and large language models.
• Contribute to the development and maintenance of ML platform capabilities, including: Data pipelines and feature engineering workflows
• Model training, evaluation, and deployment pipelines
• Experiment tracking and model registry systems
• Model performance evaluations and monitoring
• Partner in implementation of AI and ML Ops best practices, including CI/CD, infra as code, monitoring, traceability and reproducibility
• Collaborate with cross-functional teams to transition standards and outcomes from experimentation to production-grade enterprise solutions
• Build and maintain scalable and efficient, productionized MLOps solutions on cloud platforms
• Develop and deliver training content and knowledge articles to educate resident scientists on model lifecycle management best practices

Required Skills

• Software programming (python, version control, test driven development)
• Familiarity with cloud technologies (AWS preferred, Databricks)
• Hands-on experience with AI/ML model training and serving

Preferred qualifications

• Experience with deployment and maintenance of AI/ML models in production
• Substantial experience with cloud technologies and platforms, such as Databricks, AWS (preferred), or Azure
• Experience with AI and MLOps frameworks and tools (mlflow, kubeflow, weights & biases, terraform, etc.)
• Experience with containerization (docker, Kubernetes),
• Familiarity with distributed data processing (e.g., spark)
• Familiarity with data science libraries (scikit-learn, tensorflow, pytorch, langchain)

Soft Skills

• Excellent critical-thinking and problem-solving skills
• Strong communication and collaboration skills
• Demonstrated presentation skills
• Self-motivated, independent ownership and leadership skills

What you can expect from us

As Amgen works to develop medicines that take care of patients, we also invest in our team members growth and development. You will gain:

• Hands-on experience and support building enterprise-scale ML platforms
• Experience building cutting-edge applications of AI in drug discovery
• Opportunities to learn from experienced engineers and scientists
• Opportunities to partner cross-functionally and participate in projects beyond your core contributions and responsibilities
• Access to cutting-edge AI-assisted development tools and resources both for learning / upskilling and solution development
• A collaborative, science-driven environment focused on real-world impact.

Basic Qualifications and Experience

• Bachelor's degree with 4 - 8 years of experience in Computer Science, IT or related field