Associate Director - AI / ML Engineering
Amgen
Associate Director - AI / ML Engineering
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
- Contribute to strategic discussions
- Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development
- Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery
- Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring
- Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value
- Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies
- Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies
- Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems
- Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives
- Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities
What we expect of you
- Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR
- Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR
- Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience
- Experience in building AI Platforms & applications at enterprise scale
- Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI)
- Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms
- Proficient in programming languages such as Python, R, or Scala
- Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud)
- Proven track record of managing and delivering AI/ML projects at scale
- Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities
- Experience in regulated industries, preferably life sciences and pharma
- Experience with natural language processing, computer vision, or reinforcement learning
- Knowledge of data governance, privacy regulations, and ethical AI considerations
- Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms)
- Experience with AI Observability
- Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate
- Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators
- Ability to foster a collaborative and innovative work environment
- Strong problem-solving abilities and attention to detail
- High degree of initiative and self-motivation
- Ability to mentor and develop team members, promoting their growth and success
Must-Have Skills
- prior hands-on experience building ML and AI solutions
- management experience in leading ML / AI engineering team and talent development
- Delivering AI initiatives at enterprise scale
What you can expect of us
- competitive benefits
- collaborative culture
- competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
120,000 - 180,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- prior hands-on experience building ML and AI solutionsintermediate
- management experience in leading ML / AI engineering team and talent developmentintermediate
- Delivering AI initiatives at enterprise scaleintermediate
Required Qualifications
- Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR (experience)
- Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR (experience)
- Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience (experience)
- Experience in building AI Platforms & applications at enterprise scale (experience)
- Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. (experience)
- Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI) (experience)
- Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms (experience)
- Proficient in programming languages such as Python, R, or Scala (experience)
- Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud) (experience)
- Proven track record of managing and delivering AI/ML projects at scale (experience)
- Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities (experience)
- Experience in regulated industries, preferably life sciences and pharma (experience)
- Experience with natural language processing, computer vision, or reinforcement learning (experience)
- Knowledge of data governance, privacy regulations, and ethical AI considerations (experience)
- Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) (experience)
- Experience with AI Observability (experience)
- Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate (experience)
- Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators (experience)
- Ability to foster a collaborative and innovative work environment (experience)
- Strong problem-solving abilities and attention to detail (experience)
- High degree of initiative and self-motivation (experience)
- Ability to mentor and develop team members, promoting their growth and success (experience)
Responsibilities
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
- Contribute to strategic discussions
- Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development
- Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery
- Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring
- Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value
- Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies
- Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies
- Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems
- Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives
- Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities
Benefits
- general: competitive benefits
- general: collaborative culture
- general: competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories
Associate Director - AI / ML Engineering
Amgen
Associate Director - AI / ML Engineering
Job Description
Join Amgen’s Mission of Serving Patients
What you will do
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
- Contribute to strategic discussions
- Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development
- Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery
- Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring
- Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value
- Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies
- Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies
- Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems
- Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives
- Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities
What we expect of you
- Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR
- Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR
- Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience
- Experience in building AI Platforms & applications at enterprise scale
- Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc.
- Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI)
- Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms
- Proficient in programming languages such as Python, R, or Scala
- Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud)
- Proven track record of managing and delivering AI/ML projects at scale
- Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities
- Experience in regulated industries, preferably life sciences and pharma
- Experience with natural language processing, computer vision, or reinforcement learning
- Knowledge of data governance, privacy regulations, and ethical AI considerations
- Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms)
- Experience with AI Observability
- Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate
- Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators
- Ability to foster a collaborative and innovative work environment
- Strong problem-solving abilities and attention to detail
- High degree of initiative and self-motivation
- Ability to mentor and develop team members, promoting their growth and success
Must-Have Skills
- prior hands-on experience building ML and AI solutions
- management experience in leading ML / AI engineering team and talent development
- Delivering AI initiatives at enterprise scale
What you can expect of us
- competitive benefits
- collaborative culture
- competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Locations
- Hyderabad, India
Salary
Salary not disclosed
Estimated Salary Rangehigh confidence
120,000 - 180,000 USD / yearly
Source: xAI estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- prior hands-on experience building ML and AI solutionsintermediate
- management experience in leading ML / AI engineering team and talent developmentintermediate
- Delivering AI initiatives at enterprise scaleintermediate
Required Qualifications
- Master’s degree and 12 to 14 years of computer science, Artificial Intelligence, Machine Learning experience OR (experience)
- Bachelor’s degree and 14 to 18 years of computer science, Artificial Intelligence, Machine Learning experience OR (experience)
- Diploma and 18 to 20 years of computer science, Artificial Intelligence, Machine Learning experience (experience)
- Experience in building AI Platforms & applications at enterprise scale (experience)
- Expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, Scikit-learn, etc. (experience)
- Hands-on experience with LLMs, Generative AI, and NLP (e.g., GPT, BERT, Llama, Claude, Mistral AI) (experience)
- Strong understanding of MLOps processes and tools such as MLflow, Kubeflow, or similar platforms (experience)
- Proficient in programming languages such as Python, R, or Scala (experience)
- Experience deploying AI/ML models in cloud environments (AWS, Azure, or Google Cloud) (experience)
- Proven track record of managing and delivering AI/ML projects at scale (experience)
- Excellent project management skills, with the ability to lead multi-functional teams and manage multiple priorities (experience)
- Experience in regulated industries, preferably life sciences and pharma (experience)
- Experience with natural language processing, computer vision, or reinforcement learning (experience)
- Knowledge of data governance, privacy regulations, and ethical AI considerations (experience)
- Experience with cloud-native AI/ML services (Databricks, AWS, Azure ML, Google AI Platforms) (experience)
- Experience with AI Observability (experience)
- Google Professional Machine Learning Engineer, AWS Certified Machine Learning, or Azure AI Engineer Associate, Databricks Certified Generative AI Engineer Associate (experience)
- Excellent leadership and communication skills, with the ability to convey complex technical concepts to non-technical collaborators (experience)
- Ability to foster a collaborative and innovative work environment (experience)
- Strong problem-solving abilities and attention to detail (experience)
- High degree of initiative and self-motivation (experience)
- Ability to mentor and develop team members, promoting their growth and success (experience)
Responsibilities
- Lead, mentor, and manage a high-performing team of engineers, fostering an environment that encourages learning, collaboration, and innovation
- Focus on nurturing future leaders and providing growth opportunities through coaching, training, and mentorship
- Develop a comprehensive talent strategy that includes recruitment, retention, onboarding, and career development
- Build a diverse and inclusive team that drives innovation, aligns with Amgen's culture and values, and delivers business priorities
- Work closely with senior leaders within the function and across the Amgen India site to align engineering goals with broader organizational objectives
- Contribute to strategic discussions
- Create and implement a strategy for expanding the AI/ML engineering team, including recruitment, onboarding, and talent development
- Oversee the end-to-end lifecycle of AI/ML projects, from concept and design through to deployment and optimization, ensuring timely and successful delivery
- Ensure adoption of ML-Ops best practices, including model versioning, testing, deployment, and monitoring
- Collaborate with multi-functional teams, including product, data science, and software engineering, to find opportunities and deliver AI/ML solutions that drive business value
- Serve as an AI/ML evangelist across the organization, promoting awareness and understanding of the capabilities and value of AI/ML technologies
- Promote a culture of innovation and continuous learning within the team, encouraging the exploration of new tools, technologies, and methodologies
- Provide technical leadership and mentorship, guiding engineers in implementing scalable and robust AI/ML systems
- Work closely with collaborators to prioritize AI/ML projects and ensure timely delivery of key initiatives
- Lead innovation initiatives to explore new AI/ML technologies, platforms, and tools that can drive further advancements in the organization’s AI capabilities
Benefits
- general: competitive benefits
- general: collaborative culture
- general: competitive and comprehensive Total Rewards Plans that are aligned with local industry standards
Tags & Categories