Senior Associate, Machine Learning Engineer
Amgen
Amgen is hiring talented professionals for the position of Senior Associate, Machine Learning Engineer in India - Hyderabad. This opportunity is ideal for candidates looking to build a strong career in the IT industry in 2026. Applicants should carefully review the eligibility criteria, required skills, and selection process before applying online.
The recruitment drive for 2026 offers a great chance for job seekers to join a reputed organization. Make sure to prepare well for the interview and submit your application before the deadline. Read below for full details on how to apply, educational qualifications, and other important instructions.
Job Overview
| Role: | Senior Associate, Machine Learning Engineer |
| Location: | India - Hyderabad |
| Employment Type: | Full Time / Permanent |
| Industry: | IT / Software / Core |
🚀 Why Senior Associate, Machine Learning Engineer is a Strategic Career Move in 2026
Joining Amgen as a Senior Associate, Machine Learning Engineer offers excellent growth prospects. Here's why this role is trending:
- Software Engineering is one of the highest-paying domains in India.
- With the rise of AI and Web3, demand for skilled engineers is at an all-time high.
Industry Insight: Software Engineer roles in India - Hyderabad are currently seeing high demand.
Organization / Company Name
Amgen
(See full description for company details)
🎯 How to Prepare for Senior Associate, Machine Learning Engineer Role
To crack the interview at Amgen, focus on the following:
- Practice coding problems on platforms like LeetCode and HackerRank.
- Focus on Data Structures and Algorithms (DSA), especially Arrays, Linked Lists, and Trees.
- Prepare for System Design questions if applying for senior roles.
Important Dates
- Posted On: 15 February 2026
- Application Deadline: ASAP (Apply immediately)
Job Description
Career Category
Information SystemsJob 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:
As an AI/ML Engineer within Amgen’s AI/ML Innovation Lab, you will design, build, and operationalize machine learning models that power innovation across Amgen’s scientific and operational domains.
This position has to collaborate closely with internal SMEs, data engineers,
and vendor’s technical teams to deliver scalable, compliant AI solutions aligned with Amgen’s R&D, Manufacturing, IT, and Commercial objectives.
Key Responsibilities
- Develop, train, and validate AI/ML and GenAI models for research, operations, and commercial applications.
- Partner with data engineers to build and optimize data pipelines for model ingestion.
- Work on model explainability, validation, and auditability aligned to Amgen’s governance standards.
- Contribute to PoC design, experimentation, and evaluation phases in the Innovation Lab.
- Collaborate with vendor team to integrate models into apps and dashboards.
- Ensure adherence to data privacy, GxP, and Responsible AI guidelines.
- Document model development, versioning, and performance metrics for governance reviews.
Required Qualifications
- 3–5 years of experience in Data Science / Machine Learning engineering.
- Proficiency in Python, TensorFlow, PyTorch, Scikit-learn, or similar
- Experience in AWS ML services (SageMaker, Lambda, S3, Glue, Redshift).
- Solid grasp of MLOps practices — model tracking, CI/CD, deployment automation.
- Strong statistical and analytical background.
- Excellent collaboration and communication skills.
Preferred Skills
- Exposure to GenAI / LLM frameworks (LangChain, OpenAI APIs, Hugging Face).
- Experience in regulated data environments (pharma / life sciences).
- Familiarity with MLflow, Databricks, Airflow for experimentation and orchestration.
- Knowledge of data governance and model validation frameworks.
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 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.
- Click on the "Apply Now" link below.
- You will be redirected to the official career page of Amgen.
- Read the job details carefully.
- Click on "Apply" and fill in the required details.
- Submit your application.
Important Links
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.
Kishan Prajapati
Career Researcher & IT Industry Analyst. Helping freshers and professionals find verified private IT job opportunities in India.
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.
