Sr Associate Software Engineer
Amgen
Sr Associate Software Engineer
Job Description
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.
What you will do
- 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
What we expect of you
- Master’s degree in computer science & engineering preferred with 5-8 years of software development experience OR
- Bachelor’s degree in computer science & engineering preferred with 6-9 years of software development experience
- 2–4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains
Must-Have Skills
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers
- Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools
- Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification
- Hands on experience with various AI models, GCP Search Engines, GCP Cloud services
- Proficient in programming language AI/ML, Python, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB
- Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
- 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 and 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
- Willingness to work on Full stack Applications
- Exposure to MLOps tools like MLflow, Airflow, or SageMaker
- 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
What you can expect of us
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- Professional and personal growth and well-being
Compensation
5-8
Locations
- Hyderabad, India (Remote)
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformersintermediate
- Experience with search technologies like Elasticsearch, OpenSearch, or vector search toolsintermediate
- Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classificationintermediate
- Hands on experience with various AI models, GCP Search Engines, GCP Cloud servicesintermediate
- Proficient in programming language AI/ML, Python, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DBintermediate
- Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skillsintermediate
- Experience in AI/ML, Java, Pythonintermediate
- Experienced with Fast Pythons API, Graphqlintermediate
- Experience with design patterns, data structures, data modelling, data algorithmsintermediate
- Experienced with AWS /Azure Platform, Building and deploying the codeintermediate
- Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Bucketsintermediate
- Knowledge of LLMs, generative AI, and their use in enterprise searchintermediate
- Experience in Google cloud Search and Google cloud Storageintermediate
- Experience with popular large language modelsintermediate
- Experience with Langchain or llamaIndex framework for language modelsintermediate
- Experience with prompt engineering, model fine tuningintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
- Experience in Agile software development methodologiesintermediate
- Experience in End to End testing as part of Test Driven Developmentintermediate
- Willingness to work on Full stack Applicationsintermediate
- Exposure to MLOps tools like MLflow, Airflow, or SageMakerintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, remote teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree in computer science & engineering preferred with 5-8 years of software development experience OR (experience)
- Bachelor’s degree in computer science & engineering preferred with 6-9 years of software development experience (experience)
- 2–4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains (experience)
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
Benefits
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- general: Professional and personal growth and well-being
Tags & Categories
Sr Associate Software Engineer
Amgen
Sr Associate Software Engineer
Job Description
If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of.
What you will do
- 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
What we expect of you
- Master’s degree in computer science & engineering preferred with 5-8 years of software development experience OR
- Bachelor’s degree in computer science & engineering preferred with 6-9 years of software development experience
- 2–4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains
Must-Have Skills
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers
- Experience with search technologies like Elasticsearch, OpenSearch, or vector search tools
- Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classification
- Hands on experience with various AI models, GCP Search Engines, GCP Cloud services
- Proficient in programming language AI/ML, Python, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DB
- Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skills
- 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 and 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
- Willingness to work on Full stack Applications
- Exposure to MLOps tools like MLflow, Airflow, or SageMaker
- 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
What you can expect of us
- Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- Professional and personal growth and well-being
Compensation
5-8
Locations
- Hyderabad, India (Remote)
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
30,000 - 50,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- Proficiency in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformersintermediate
- Experience with search technologies like Elasticsearch, OpenSearch, or vector search toolsintermediate
- Solid understanding of NLP techniques: embeddings, transformers, entity recognition, text classificationintermediate
- Hands on experience with various AI models, GCP Search Engines, GCP Cloud servicesintermediate
- Proficient in programming language AI/ML, Python, Java Crawlers, Java Script, SQL/NoSQL, Databricks/RDS, Data engineering, S3 Buckets, dynamo DBintermediate
- Strong problem solving, analytical skills; Ability to learn quickly; Excellent communication and interpersonal skillsintermediate
- Experience in AI/ML, Java, Pythonintermediate
- Experienced with Fast Pythons API, Graphqlintermediate
- Experience with design patterns, data structures, data modelling, data algorithmsintermediate
- Experienced with AWS /Azure Platform, Building and deploying the codeintermediate
- Experience in Posgres SQL /Mongo DB SQL database, vector database for large language models, Databricks or RDS, S3 Bucketsintermediate
- Knowledge of LLMs, generative AI, and their use in enterprise searchintermediate
- Experience in Google cloud Search and Google cloud Storageintermediate
- Experience with popular large language modelsintermediate
- Experience with Langchain or llamaIndex framework for language modelsintermediate
- Experience with prompt engineering, model fine tuningintermediate
- Knowledge of NLP techniques for text analysis and sentiment analysisintermediate
- Experience in Agile software development methodologiesintermediate
- Experience in End to End testing as part of Test Driven Developmentintermediate
- Willingness to work on Full stack Applicationsintermediate
- Exposure to MLOps tools like MLflow, Airflow, or SageMakerintermediate
- Excellent analytical and troubleshooting skillsintermediate
- Strong verbal and written communication skillsintermediate
- Ability to work effectively with global, remote teamsintermediate
- High degree of initiative and self-motivationintermediate
- Ability to manage multiple priorities successfullyintermediate
- Team-oriented, with a focus on achieving team goalsintermediate
- Strong presentation and public speaking skillsintermediate
Required Qualifications
- Master’s degree in computer science & engineering preferred with 5-8 years of software development experience OR (experience)
- Bachelor’s degree in computer science & engineering preferred with 6-9 years of software development experience (experience)
- 2–4 years of experience building AI/ML models, ideally in search, NLP, or biomedical domains (experience)
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
Benefits
- general: Competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
- general: Professional and personal growth and well-being
Tags & Categories