Sr Machine Learning Engineer - Amgen Recruitment 2026

Sr Machine Learning Engineer

Amgen

Job Overview

Role:	Sr Machine Learning Engineer
Location:	India - Hyderabad
Employment Type:	Full Time / Permanent
Industry:	IT / Software / Core

Organization / Company Name

Amgen

(See full description for company details)

Important Dates

• Posted On: 06 February 2026
• Application Deadline: ASAP (Apply immediately)

Job Description

Career Category

Engineering

Job Description

ABOUT AMGEN 

Amgen harnesses the best of biology and technology to fight the world’s toughest diseases, and make people’s lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what’s known today. 

  

ABOUT THE ROLE 

Role Description: 

We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines. 

Roles & 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 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 

  

 

 

Must-Have Skills: 

• Strong 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; Excellent communication and interpersonal skills 

 

Good-to-Have Skills: 

• 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 

• Familiar with AWS, Azure, or Google Cloud; 

• Familiar with Databricks platform for data analytics and MLOps 

 

Education and Professional Certifications 

• Master’s / Degree degree with 8 -12 years of experience in Computer Science, IT or related field   

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. 

• Ability to learn quickly, be organized and detail oriented. 

• Strong presentation and public speaking skills. 

 

EQUAL OPPORTUNITY STATEMENT 

Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. 

We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation. 

 

 

.

Educational Qualification

Candidates should possess a relevant degree (B.E/B.Tech, M.E/M.Tech, MCA, or equivalent) from a recognized university. Please refer to the specific requirements in the Job Description above.

Age Limit

As per company rules. Generally, candidates should be at least 18 years of age.

Salary / Pay Scale

Best in Industry / Not Disclosed by Company.

Application Fee

NIL (No application fee for private jobs).

Selection Process

• Resume Shortlisting
• Online Assessment / Technical Round
• HR Interview
• (Process may vary by company)

How to Apply

Interested and eligible candidates can apply online using the link provided below.

1. Click on the "Apply Now" link below.
2. You will be redirected to the official career page of Amgen.
3. Read the job details carefully.
4. Click on "Apply" and fill in the required details.
5. Submit your application.

Important Links

Apply Now (Official Link)

Important Instructions

• Read the full job description on the official site before applying.
• Ensure your resume is updated and matches the job requirements.
• Check your email regularly for updates after applying.

Disclaimer: This job posting is for information purposes only. We are not associated with Amgen directly. All applications are processed through the official company website. Do not pay any money to anyone for this job.