Amgen Recruitment 2025 Hiring Associate Software Engineer

Amgen Recruitment 2025 | Associate Software Engineer | Hyderabad India

Amgen, a global biotechnology leader, has officially announced its Recruitment Drive for 2025, inviting applications for the role of Associate Software Engineer. This is a golden opportunity for recent graduates and early-career tech professionals to kick-start their journey with one of the most respected names in the pharmaceutical and biotech industries. If you’re passionate about software development and eager to work on impactful solutions in healthcare, now is the time to apply!

Job Details

• Designation: Associate Software Engineer
• Company: Amgen
• Educational Qualification:
  • Bachelor of Engineering (BE), BTech, (Any Stream)
• Experience Required: 0–1 years (Freshers eligible)
• Location: Hyderabad, India
• Compensation: Best in Industry

Job Overview:

Associate Software Engineer  to help design and build cutting-edge AI-powered solutions for the pharmaceutical industry. In this role, you’ll develop intelligent systems that surface the most relevant insights from clinical trials, scientific literature, regulatory documents, and internal knowledge assets. Your work will empower researchers, clinicians, and decision-makers with faster, smarter access to the right information.

Preferred Qualifications:

• Experience in AI/ML , Java, Python
• Experienced with Fast Pythons API, Graphql
• Experience with design patterns, data structures, data modelling, data algorithms
• Experienced with AWS /Azure Platform, Building an deploying the code
• Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS ,S3 Buckets
• Knowledge of LLMs, generative AI, and their use in enterprise search
• Experience in Google cloud Search and Google cloud Storage
• Experience with popular large language models
• Experience with Langchain or llamaIndex framework for language models
• Experience with prompt engineering, model fine tuning
• Knowledge of NLP techniques for text analysis and sentiment analysis
• Experience in Agile software development methodologies
• Experience in End to End testing as part of Test Driven Development

Good to Have Skills:

• Willingness to work on Full stack  Applications
• Exposure to MLOps tools like MLflow, Airflow, or SageMaker

Soft Skills:

• Excellent analytical and troubleshooting skills.
• Strong verbal and written communication skills.
• Ability to work effectively with global, remote teams.
• High degree of initiative and self-motivation.
• Ability to manage multiple priorities successfully.
• Team-oriented, with a focus on achieving team goals.
• Strong presentation and public speaking skills.

Job Responsibilities:

• Design and implement search algorithms using NLP, machine learning, semantic understanding, and deep learning models
• Build and fine-tune models for information retrieval, query expansion, document ranking, summarization, and Q&A systems
• Support integration of LLMs (e.g., GPT, BERT, BioBERT) for semantic and generative search.
• Train and evaluate custom models for biomedical named entity recognition, relevance ranking, and similarity search.
• Build and deploy vector-based search systems using embeddings and vector databases
• Work closely with platform engineers to integrate AI models into scalable cloud-based infrastructures (AWS, Azure, GCP)
• Package and deploy search services using containerization (Docker, Kubernetes) and modern MLOps pipelines.
• Preprocess and structure unstructured content such as clinical trial reports, research articles, and regulatory documents
• Apply knowledge graphs, taxonomies, and ontologies (e.g., MeSH, UMLS, SNOMED) to enhance search results
• Build and deploy recommendation systems models, utilize AIML infrastructure, and contribute to model optimization and data processing
• Experience in Generative AI on Search Engines
• Experience in integrating Generative AI capabilities and Vision Models to enrich content quality and user engagement. .
• Experience Generative AI tasks such as content summarization. deduping and metadata quality. Researching and developing advanced AI algorithms, including Vision Models for visual content analysis.
•  Implementing KPI measurement frameworks to evaluate the quality and performance of delivered models, including those utilizing Generative AI.
•  Developing and maintaining Deep Learning models for data quality checks, visual similarity scoring, and content tagging.
• Continually researching current and emerging technologies and proposing changes where needed.
• Implement GenAI solutions, utilize ML infrastructure, and contribute to data preparation, optimization, and performance enhancements.

How to Apply

Interested students can apply directly at 👉 Amgen Recruitment 2025

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