Amgen is actively hiring for the position of Associate AI/ML Innovation Engineer (Associate Software Engineer) at its state-of-the-art Hyderabad office. This entry-level opportunity is perfectly tailored for freshers and early-career professionals (0-3 years of experience) who possess hands-on skills in artificial intelligence, machine learning, and software engineering.
Amgen Recruitment 2026: Quick Job Overview
To help you quickly grasp the key details of this hiring drive, here is a consolidated overview of the Amgen Associate AI/ML Engineer job opening:
| Parameter | Job Details |
|---|---|
| Company Name | Amgen |
| Job Role | Associate Software Engineer (AI/ML Innovation Associate) |
| Work Location | Hyderabad, India |
| Experience Level | Freshers / 1 to 3 Years of Experience |
| Educational Qualification | BE, B.Tech, BSc, BCA, MCA, Diploma, or related technical fields |
| Target Batch | Any (Open to all eligible candidates with relevant skills) |
| Salary Range | Best in Industry (Competitive package based on skills & experience) |
Detailed Job Description & Business Impact
As an AI/ML Innovation Associate, you will play a pivotal role in designing, executing, and scaling AI-powered solutions that transform how commercial, contracting, and patient access strategies are deployed across Amgen’s global portfolio. This is not just a theoretical role; you will work directly on production-grade AI systems that directly impact patient care and business efficiency.
You will collaborate closely with senior data scientists, software engineers, and global business partners. Your primary focus will be bringing cutting-edge Generative AI (GenAI), Large Language Models (LLMs), and traditional Machine Learning solutions from the initial prototyping phase all the way to robust, scalable production environments.
Key Roles & Responsibilities
Selected candidates will actively contribute to one or more of the following high-impact technology areas:
- AI Copilots & Intelligent Agents: Developing LLM-powered assistants, designing prompt engineering workflows, implementing Retrieval-Augmented Generation (RAG) pipelines, and setting up agentic multi-step reasoning systems.
- Intelligent Document & Contract AI: Leveraging Natural Language Processing (NLP) to extract, classify, and query highly complex unstructured documents (such as policies, standard operating procedures, and legal contracts) for semantic search and automated summarization.
- Robust Data & AI Platforms: Designing and maintaining secure data ingestion, ETL/ELT transformation, and feature engineering pipelines to support scalable AI/ML model deployment.
- Real-Time AI Systems: Writing efficient APIs, setting up microservices, and developing backend architectures to serve real-time AI insights directly to end-user dashboards.
- Analytics & Decision Engines: Developing anomaly detection systems (such as identifying discrepancies in claims, pricing structures, and Gross-to-Net computations), along with predictive forecasting and optimization engines.
- Cross-Functional Collaboration: Partnering with cross-functional technical teams to translate business requirements into clear technical specifications, adhering to MLOps best practices and structured code reviews.
Required Skills & Qualifications
Amgen is looking for candidates who possess a strong foundation in computer science principles coupled with a practical, hands-on portfolio in AI/ML engineering.
Must-Have Technical Skills
- Programming Languages: Excellent coding proficiency in Python, PySpark, and SQL.
- Core CS Fundamentals: Solid grasp of Data Structures & Algorithms, Object-Oriented Programming (OOP), and clean System Design.
- Traditional Machine Learning: Hands-on experience with core ML techniques, including Regression, Classification, and Clustering algorithms.
- Natural Language Processing (NLP): Sound understanding of tokenization, text embeddings, and transformer architectures.
- Generative AI & LLMs: Direct exposure to working with major LLMs (OpenAI, HuggingFace, Anthropic, etc.) and prompt engineering workflows.
- Data Manipulation: Strong skills in handling structured and unstructured datasets using Pandas, NumPy, and related libraries.
- Web Services: Basic familiarity with REST APIs and backend software development.
- Mandatory Portfolio Projects: Candidates must have hands-on experience completing at least 2 to 3 real AI/ML projects (e.g., building a document Q&A chatbot using RAG, deploying an ML model via an API, or setting up automated ETL data pipelines).
Good-to-Have Skills (Added Advantage)
- Experience setting up vector databases (such as FAISS, Pinecone, Chroma, or Weaviate).
- Familiarity with modern orchestrators and frameworks like LangChain, LlamaIndex, AutoGen, or CrewAI.
- Basic exposure to MLOps tools (Docker, CI/CD, MLflow, Kubeflow, Apache Airflow).
- Familiarity with cloud computing ecosystems (AWS, Microsoft Azure, or Google Cloud Platform).
- Experience utilizing Databricks for unified data analytics and machine learning workloads.
- Basic understanding of the US healthcare/pharmaceutical ecosystem, including patient support datasets and prescription claims.
Professional Certifications (Optional)
- Cloud certifications (AWS Certified Cloud Practitioner, Azure Fundamentals, or GCP Associate Cloud Engineer).
- Python, Machine Learning, or Generative AI certifications from recognized platforms.
Soft Skills
- High degree of curiosity and a self-motivated approach to exploring emerging technologies.
- Strong logical reasoning and analytical troubleshooting skills to break down complex business problems.
- Excellent verbal and written communication skills to collaborate with global, cross-functional teams.
- Ability to adapt quickly and manage multiple priorities within a fast-paced environment.
How to Apply: Interested candidates should keep their resume updated, highlighting their hands-on Python/ML projects, GitHub repositories, and relevant certifications. Visit the official Amgen Careers portal on following link.
Amgen Apply Link : Click Here
Frequently Asked Questions (FAQs)
1. What is the eligibility criteria for the Amgen Associate AI/ML Engineer role?
Candidates with a BE, B.Tech, BSc, BCA, MCA, Diploma, or related technical degrees with 0 to 3 years of experience (including freshers) are eligible to apply. Strong programming skills in Python and SQL are highly recommended.
2. Where is the job location for this Amgen recruitment?
The job is based at Amgen’s state-of-the-art office facility in Hyderabad, Telangana, India.
3. What are the mandatory projects required for this application?
Amgen requires candidates to have hands-on experience with 2 to 3 real-world AI/ML projects. Examples include building an LLM-based chatbot with RAG, deploying machine learning models via REST APIs, or creating data pipelines (ETL/ELT).
4. What is the salary package offered for this entry-level role?
Amgen offers competitive compensation packages that are “Best in Industry,” along with standard corporate benefits, health insurance, and learning opportunities.
