Machine Learning Engineer - AI & LLM Systems
Amgen Technology Private LimitedRole Overview
Amgen Technology Private Limited is hiring a mid-level Machine Learning Engineer - AI & LLM Systems. This is a full-time role in Hyderabad. Part of Amgen Technology Private Limited's Data Science hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
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Job Description
As a Machine Learning Engineer - AI & LLM Systems at Amgen Technology Private Limited in Hyderabad, you will be responsible for utilizing your skills and experience in the field to contribute to the development of AI and LLM systems. Your role will involve the following key responsibilities:
- Develop and implement machine learning algorithms and models to enhance AI and LLM systems.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
- Analyze and interpret complex data sets to improve system performance and accuracy.
- Stay updated on the latest trends and advancements in machine learning and AI technologies.
To qualify for this position, you should meet the following qualifications:
- Completion of the required education in a relevant field.
- 4 to 7 years of experience in machine learning and AI development.
- Strong communication skills to effectively collaborate with team members.
- Updated knowledge of machine learning algorithms and techniques.
Amgen Technology Private Limited is a dynamic organization that values innovation and teamwork. Join us in our mission to drive advancements in AI and LLM systems. As a Machine Learning Engineer - AI & LLM Systems at Amgen Technology Private Limited in Hyderabad, you will be responsible for utilizing your skills and experience in the field to contribute to the development of AI and LLM systems. Your role will involve the following key responsibilities:
- Develop and implement machine learning algorithms and models to enhance AI and LLM systems.
- Collaborate with cross-functional teams to integrate machine learning solutions into existing systems.
- Analyze and interpret complex data sets to improve system performance and accuracy.
- Stay updated on the latest trends and advancements in machine learning and AI technologies.
To qualify for this position, you should meet the following qualifications:
- Completion of the required education in a relevant field.
- 4 to 7 years of experience in machine learning and AI development.
- Strong communication skills to effectively collaborate with team members.
- Updated knowledge of machine learning algorithms and techniques.
Amgen Technology Private Limited is a dynamic organization that values innovation and teamwork. Join us in our mission to drive advancements in AI and LLM systems.
Frequently Asked Questions
How do I apply for the Machine Learning Engineer - AI & LLM Systems position at Amgen Technology Private Limited?
Use the Apply button above to submit your application directly to Amgen Technology Private Limited. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Machine Learning Engineer - AI & LLM Systems position at Amgen Technology Private Limited located?
This position is based in Hyderabad. Amgen Technology Private Limited has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Machine Learning Engineer - AI & LLM Systems at Amgen Technology Private Limited earn?
Amgen Technology Private Limited has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Machine Learning Engineer - AI & LLM Systems role at Amgen Technology Private Limited posted?
This role was posted on April 18, 2026 (51 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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