Explore exciting Machine Learning Engineer jobs in 1282 Machine Learning Engineer jobs in Hyderabad
Machine Learning Engineer
Hyderabad, Andhra Pradesh
ServiceNow, Inc.
Posted 1 day ago
Job Viewed
Job Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
**What you get to do in this role:**
+ Contribute to the design, development, and evaluation of machine learning solutions, with exposure to large language models (LLMs) and modern AI techniques.
+ Support the development of prototypes and proof-of-concepts that demonstrate new AI capabilities and improve model performance.
+ Run experiments to assess model accuracy, generalization, and fairness across different datasets and tasks.
+ Help generate, clean, and curate datasets (synthetic and real-world) to improve training and evaluation pipelines.
+ Fine-tune and evaluate pre-trained models, applying techniques such as prompt engineering and retrieval augmentation under guidance from senior engineers.
+ Work closely with cross-functional teams (research, engineering, product) to deliver production-quality ML features.
+ Implement and follow established evaluation protocols, including testing for bias, robustness, and safety.
+ Develop and maintain training and deployment pipelines using containerized workflows and modern MLOps practices.
+ Contribute to responsible AI practices by applying transparency and compliance guidelines in day-to-day work.
**Key qualifications:**
+ Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
+ Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
+ **2+ years of experience in machine learning, deep learning, or data science.**
+ Proficiency in Python and JavaScript, with familiarity in ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
+ Experience with training and evaluating machine learning models; exposure to LLMs or foundation models is a plus.
+ Hands-on experience with dataset preparation, labelling, or data processing workflows.
+ Understanding of ML evaluation strategies, model optimization techniques, and awareness of responsible AI practices.
+ Familiarity with deploying ML models using inference platforms (e.g., ONNX, Triton) or cloud services.
+ Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, CI/CD) for experiment tracking and deployment.
+ Strong communication skills with the ability to collaborate effectively with technical peers and share results clearly.
+ Knowledge of ServiceNow platform development and its integration with AI/ML solutions.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
**What you get to do in this role:**
+ Contribute to the design, development, and evaluation of machine learning solutions, with exposure to large language models (LLMs) and modern AI techniques.
+ Support the development of prototypes and proof-of-concepts that demonstrate new AI capabilities and improve model performance.
+ Run experiments to assess model accuracy, generalization, and fairness across different datasets and tasks.
+ Help generate, clean, and curate datasets (synthetic and real-world) to improve training and evaluation pipelines.
+ Fine-tune and evaluate pre-trained models, applying techniques such as prompt engineering and retrieval augmentation under guidance from senior engineers.
+ Work closely with cross-functional teams (research, engineering, product) to deliver production-quality ML features.
+ Implement and follow established evaluation protocols, including testing for bias, robustness, and safety.
+ Develop and maintain training and deployment pipelines using containerized workflows and modern MLOps practices.
+ Contribute to responsible AI practices by applying transparency and compliance guidelines in day-to-day work.
**Key qualifications:**
+ Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
+ Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
+ **2+ years of experience in machine learning, deep learning, or data science.**
+ Proficiency in Python and JavaScript, with familiarity in ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
+ Experience with training and evaluating machine learning models; exposure to LLMs or foundation models is a plus.
+ Hands-on experience with dataset preparation, labelling, or data processing workflows.
+ Understanding of ML evaluation strategies, model optimization techniques, and awareness of responsible AI practices.
+ Familiarity with deploying ML models using inference platforms (e.g., ONNX, Triton) or cloud services.
+ Exposure to MLOps tools (e.g., MLflow, Docker, Kubernetes, CI/CD) for experiment tracking and deployment.
+ Strong communication skills with the ability to collaborate effectively with technical peers and share results clearly.
+ Knowledge of ServiceNow platform development and its integration with AI/ML solutions.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
This advertiser has chosen not to accept applicants from your region.
0
Machine Learning Engineer
Hyderabad, Andhra Pradesh
ServiceNow, Inc.
Posted 8 days ago
Job Viewed
Job Description
It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today - ServiceNow stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work. But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.
**Team Overview:**
Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology.
**What you get to do in this role:**
+ Design, develop, and evaluate end-to-end machine learning solutions, with a focus on large language models (LLMs), combining engineering rigor and research depth.
+ Lead the development of PoCs and applied research prototypes to explore novel AI capabilities, model interpretability, and safety strategies.
+ Conduct cutting-edge experiments to assess model behaviour, generalization, and fairness across diverse datasets and use cases.
+ Generate and curate synthetic and real-world datasets to optimize model robustness, reliability, and performance.
+ Fine-tune and deploy large-scale models, incorporating prompt engineering, few-shot learning, and retrieval-augmented techniques.
+ Collaborate cross-functionally with product, research, and engineering teams to publish white papers, participate in conferences, and contribute to open-source or peer-reviewed ML/AI research.
+ Define and implement rigorous evaluation protocols, including human-in-the-loop testing, bias detection, and safety metrics.
+ Develop CI/CD pipelines and containerized workflows for scalable training, evaluation, and deployment of ML solutions in production.
+ Identify risks in AI applications and contribute to responsible AI initiatives, including transparency, robustness, and compliance frameworks.
**Key qualifications:**
1. Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
2. Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
3. **2+ years of experience in machine learning, deep learning, LLM, with a track record of applied research or experimentation.**
4. Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
5. Hands-on experience with prompt engineering, model training, evaluation, and optimization for LLMs or foundation models.
6. Proven experience in applied research, academic publication, technical blogging, or contributions to open-source ML projects.
7. Familiarity with data-centric AI workflows: synthetic data generation, labelling strategies, and dataset versioning tools.
8. Deep understanding of AI/ML evaluation strategies, model robustness techniques, and responsible AI practices.
9. Practical experience deploying models using inference platforms like Triton, ONNX in production environments.
10. Experience working with MLOps stacks: CI/CD, experiment tracking (e.g., MLflow), Docker, Kubernetes, and distributed training frameworks.
11. Excellent communication skills with the ability to explain complex ML ideas to non-technical stakeholders and contribute to scientific documentation.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
**Team Overview:**
Join our pioneering Core-LLM platform team, dedicated to pushing the boundaries of Generative AI. We focus on developing robust, scalable, and safe machine learning models, particularly LLMs, SLMs, Large Reasoning Models (LRMs) and SRMs that power cutting-edge ServiceNow products and features. As a Senior Manager, you will lead a talented team of machine learning engineers, shaping the future of our AI capabilities and ensuring the ethical and effective deployment of our technology.
**What you get to do in this role:**
+ Design, develop, and evaluate end-to-end machine learning solutions, with a focus on large language models (LLMs), combining engineering rigor and research depth.
+ Lead the development of PoCs and applied research prototypes to explore novel AI capabilities, model interpretability, and safety strategies.
+ Conduct cutting-edge experiments to assess model behaviour, generalization, and fairness across diverse datasets and use cases.
+ Generate and curate synthetic and real-world datasets to optimize model robustness, reliability, and performance.
+ Fine-tune and deploy large-scale models, incorporating prompt engineering, few-shot learning, and retrieval-augmented techniques.
+ Collaborate cross-functionally with product, research, and engineering teams to publish white papers, participate in conferences, and contribute to open-source or peer-reviewed ML/AI research.
+ Define and implement rigorous evaluation protocols, including human-in-the-loop testing, bias detection, and safety metrics.
+ Develop CI/CD pipelines and containerized workflows for scalable training, evaluation, and deployment of ML solutions in production.
+ Identify risks in AI applications and contribute to responsible AI initiatives, including transparency, robustness, and compliance frameworks.
**Key qualifications:**
1. Experience in using AI Productivity tools such as Cursor, Windsurf, etc. is a plus or nice to have
2. Experience with methods of training and fine-tuning large language models, such as distillation, supervised fine-tuning, and policy optimization
3. **2+ years of experience in machine learning, deep learning, LLM, with a track record of applied research or experimentation.**
4. Strong proficiency in Python and ML frameworks such as PyTorch, TensorFlow, HuggingFace Transformers, and NumPy.
5. Hands-on experience with prompt engineering, model training, evaluation, and optimization for LLMs or foundation models.
6. Proven experience in applied research, academic publication, technical blogging, or contributions to open-source ML projects.
7. Familiarity with data-centric AI workflows: synthetic data generation, labelling strategies, and dataset versioning tools.
8. Deep understanding of AI/ML evaluation strategies, model robustness techniques, and responsible AI practices.
9. Practical experience deploying models using inference platforms like Triton, ONNX in production environments.
10. Experience working with MLOps stacks: CI/CD, experiment tracking (e.g., MLflow), Docker, Kubernetes, and distributed training frameworks.
11. Excellent communication skills with the ability to explain complex ML ideas to non-technical stakeholders and contribute to scientific documentation.
**Work Personas**
We approach our distributed world of work with flexibility and trust. Work personas (flexible, remote, or required in office) are categories that are assigned to ServiceNow employees depending on the nature of their work and their assigned work location. Learn more here ( . To determine eligibility for a work persona, ServiceNow may confirm the distance between your primary residence and the closest ServiceNow office using a third-party service.
**Equal Opportunity Employer**
ServiceNow is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status, veteran status, or any other category protected by law. In addition, all qualified applicants with arrest or conviction records will be considered for employment in accordance with legal requirements.
**Accommodations**
We strive to create an accessible and inclusive experience for all candidates. If you require a reasonable accommodation to complete any part of the application process, or are unable to use this online application and need an alternative method to apply, please contact for assistance.
**Export Control Regulations**
For positions requiring access to controlled technology subject to export control regulations, including the U.S. Export Administration Regulations (EAR), ServiceNow may be required to obtain export control approval from government authorities for certain individuals. All employment is contingent upon ServiceNow obtaining any export license or other approval that may be required by relevant export control authorities.
From Fortune. ©2025 Fortune Media IP Limited. All rights reserved. Used under license.
This advertiser has chosen not to accept applicants from your region.
1
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Amgen
Posted 8 days ago
Job Viewed
Job Description
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual 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**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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.
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
Machine Learning Engineer
**What you will do**
Let's do this. Let's change the world. In this vital role as a Machine Learning Engineer, you will contribute to the development and maintenance of our GEN AI web applications across various Process Development functions(Drug Substance, Drug Product, Attribute Sciences & Combination Products) in Operations. This role is ideal for recent graduates or early-career professionals looking to gain hands-on experience in software development.
**Roles & Responsibilities:**
+ Implement, and optimize LLM-powered models for document processing, data extraction, and application Insights
+ Develop and optimize retrieval-augmented generation (RAG) pipelines to improve query processing and information retrieval
+ Work with large-scale structured and unstructured data to ensure efficient indexing, retrieval, and contextual relevance
+ Collaborate with the design and product teams to understand user needs and translate them into technical requirements.
+ Write clean, efficient, and well-tested code.
+ Participate in code reviews and provide constructive feedback.
+ Maintain system uptime and optimal performance
+ Learn and adapt to new technologies and industry trends like Prompt Engineering, AI tools and Retrieval-augmented generation (RAG) frameworks
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients. The (vital attribute) professional we seek is a (type of person) with these qualifications.
**Basic Qualifications:**
Master's degree / Bachelor's degree and 5 to 9 years
**Preferred Qualifications:**
**Functional Skills:**
+ Proficiency in Python and data manipulation libraries (Pandas, NumPy, etc.)
+ Familiarity with machine learning workflows and common ML libraries (scikit-learn, PyTorch, TensorFlow)
+ Working knowledge of cloud environments (AWS, Azure, or Google Cloud Platform)
+ Experience with popular large language models like OPEN AI
+ Experience with language models and frameworks like Langchain or llamaIndex
+ Proficiency with prompt engineering, model fine tuning
+ Familiarity with DevOps CICD build and deployment pipeline
+ Experience with design patterns, data structures, test-driven development.
**Professional Certifications:**
+ AWS, Data Science Certifications(preferred)
**Soft Skills:**
+ Excellent analytical and troubleshooting skills.
+ Strong verbal and written communication skills.
+ Ability to work effectively with global, virtual 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**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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.
This advertiser has chosen not to accept applicants from your region.
2
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Amgen
Posted 8 days ago
Job Viewed
Job Description
**Join Amgen's Mission of Serving Patients**
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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.
At Amgen, if you feel like you're part of something bigger, it's because you are. Our shared mission-to serve patients living with serious illnesses-drives all that we do.
Since 1980, we've helped pioneer the world of biotech in our fight against the world's toughest diseases. With our focus on four therapeutic areas -Oncology, Inflammation, General Medicine, and Rare Disease- we reach millions of patients each year. As a member of the Amgen team, you'll help make a lasting impact on the lives of patients as we research, manufacture, and deliver innovative medicines to help people live longer, fuller happier lives.
Our award-winning culture is collaborative, innovative, and science based. If you have a passion for challenges and the opportunities that lay within them, you'll thrive as part of the Amgen team. Join us and transform the lives of patients while transforming your career.
**Machine Learning Engineer**
**What you will do**
Let's do this. Let's change the world. In this vital role We are seeking a highly skilled Machine Learning Engineer with a strong MLOps background to join our team. You will play a pivotal role in building and scaling our machine learning models from development to production. Your expertise in both machine learning and operations will be essential in creating efficient and reliable ML pipelines.
**Roles & Responsibilities:**
+ Collaborate with data scientists to develop, train, and evaluate machine learning models.
+ Build and maintain MLOps pipelines, including data ingestion, feature engineering, model training, deployment, and monitoring.
+ Leverage cloud platforms (AWS, GCP, Azure) for ML model development, training, and deployment.
+ Implement DevOps/MLOps best practices to automate ML workflows and improve efficiency.
+ Develop and implement monitoring systems to track model performance and identify issues.
+ Conduct A/B testing and experimentation to optimize model performance.
+ Work closely with data scientists, engineers, and product teams to deliver ML solutions.
+ Stay updated with the latest trends and advancements
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Master's degree / Bachelor's degree and 5 to 9 years (Job Code's Discipline and/or Sub-Discipline)
**Functional Skills:**
**Must-Have Skills:**
+ Solid foundation in machine learning algorithms and techniques
+ Experience in MLOps practices and tools (e.g., MLflow, Kubeflow, Airflow); Experience in DevOps tools (e.g., Docker, Kubernetes, CI/CD)
+ Proficiency in Python and relevant ML libraries (e.g., TensorFlow, PyTorch, Scikit-learn)
+ Outstanding analytical and problem-solving skills; Ability to learn quickly; Good communication and interpersonal skills
**Good-to-Have Skills:**
+ Experience with big data technologies (e.g., Spark, Hadoop), and performance tuning in query and data processing
+ Experience with data engineering and pipeline development
+ Experience in statistical techniques and hypothesis testing, experience with regression analysis, clustering and classification
+ Knowledge of NLP techniques for text analysis and sentiment analysis
+ Experience in analyzing time-series data for forecasting and trend analysis
**What you can expect of us**
As we work to develop treatments that take care of others, we also work to care for your professional and personal growth and well-being. From our competitive benefits to our collaborative culture, we'll support your journey every step of the way.
In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards.
**Apply now and make a lasting impact with the Amgen team.**
**careers.amgen.com**
As an organization dedicated to improving the quality of life for people around the world, Amgen fosters an inclusive environment of diverse, ethical, committed and highly accomplished people who respect each other and live the Amgen values to continue advancing science to serve patients. Together, we compete in the fight against serious disease.
Amgen is an Equal Opportunity employer and will consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability status, or any other basis protected by applicable law.
We will ensure that individuals with disabilities are provided 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.
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3
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Yochana
Posted today
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Job Description
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4
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Tata Consultancy Services
Posted 3 days ago
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Job Description
Greetings from TCS!
Job Title: AI/ML Engineer
Required Skillset: AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops.
Location: Hyderabad, Noida, Chennai, Mumbai.
Experience Range: 5-10 years
Job Description
Must-Have**
- AI/ML, Azure ML Studio, AI/ML On Databricks, Python & CICD Devops. Supervised and unsupervised ML and Predictive Analytics using Python
- Feature generation through data exploration and SME requirements
- Relational database querying
- Applying computational algorithms and statistical methods to structured and unstructured data Communicating results through data visualizations Programming Languages: Python, PySpark
- Big Data Technologies: Spark with PySpark
- Cloud Technologies: Azure (ADF, Databricks, Storage Account Usage, WebApp, Key vault, SQL Server, function app, logic app, Synapse, Azure Machine Learning, Azure DevOps)
- RBAC Maintenance for Azure roles.
- Github branching and managing
- Terraform scripting for Azure IAA
- Optional: GCP (Big Query, DataProc, Cloud Storage
Responsibility of / Expectations from the Role:
1. Designing, developing, and deploying AI solutions on the Azure platform
Thanks & Regards,
Ria Aarthi A.
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5
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Egen
Posted 6 days ago
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Job Description
We are seeking a highly motivated and experienced ML Engineer/Data Scientist to join our growing ML/GenAI team.
You will play a key role in designing, developing and productionalizing ML applications by evaluating models, training and/or fine tuning them. You will play a crucial role in developing Gen AI based solutions for our customers. As a senior member of the team, you will take ownership of projects, collaborating with engineers and stakeholders to ensure successful project delivery.
What we're looking for:
- At least 3 years of experience in designing & building AI applications for customer and deploying them into production
- At least 5 years of Software engineering experience in building Secure, scalable and performant applications for customers.
- Experience with Document extraction using AI, Conversational AI, Vision AI, NLP or Gen AI.
- Design, develop, and operationalize existing ML models by fine tuning, personalizing it.
- Evaluate machine learning models and perform necessary tuning.
- Develop prompts that instruct LLM to generate relevant and accurate responses.
- Collaborate with data scientists and engineers to analyze and preprocess datasets for prompt development, including data cleaning, transformation, and augmentation.
- Conduct thorough analysis to evaluate LLM responses, iteratively modify prompts to improve LLM performance.
- Hands on customer experience with RAG solution or fine tuning of LLM model.
- Build and deploy scalable machine learning pipelines on GCP or any equivalent cloud platform involving data warehouses, machine learning platforms, dashboards or CRM tools.
- Experience working with the end-to-end steps involving but not limited to data cleaning, exploratory data analysis, dealing outliers, handling imbalances, analyzing data distributions (univariate, bivariate, multivariate), transforming numerical and categorical data into features, feature selection, model selection, model training and deployment.
- Proven experience building and deploying machine learning models in production environments for real life applications
- Good understanding of natural language processing, computer vision or other deep learning techniques.
- Expertise in Python, Numpy, Pandas and various ML libraries (e.g., XGboost, TensorFlow, PyTorch, Scikit-learn, LangChain).
- Familiarity with Google Cloud or any other Cloud Platform and its machine learning services.
- Excellent communication, collaboration, and problem-solving skills.
Good to Have
- Google Cloud Certified Professional Machine Learning or TensorFlow Certified Developer certifications or equivalent.
- Experience of working with one or more public cloud platforms - namely GCP, AWS or Azure.
- Experience with Amazon Lex or Google DialogFlow CX or Microsoft Copilot studio for CCAI Agent workflows
- Experience with AutoML and vision techniques.
- Master’s degree in statistics, machine learning or related fields.
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6
Machine Learning Engineer
Hyderabad, Andhra Pradesh
Tata Consultancy Services
Posted 6 days ago
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Job Description
Skill : Machine Learning Engineer AI/ML Engineer
Experience : 3 to 8 Years
Location : Bangalore/Hydrabad
Primary Skill : Python/Aws
Job Description:
1 Design and implement scalable and efficient data architectures to support generative AI workflows.
2 Fine tune and optimize large language models (LLM) for generative AI, conduct performance evaluation and benchmarking for LLMs and machine learning models
3 Apply prompt engineer techniques as required by the use case
4 Collaborate with research and development teams to build large language models for generative AI use cases, plan and breakdown of larger data science tasks to lower-level tasks
5 Lead junior data engineers on tasks such as design data pipelines, dataset creation, and deployment, use data visualization tools, machine learning techniques, natural language processing , feature engineering, deep learning , statistical modelling as required by the use case.
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