10,849 Machine Learning Manager jobs in India

About Us

Aarki is an AI company that builds advertising solutions to drive mobile revenue growth. We use AI to find audiences in a privacy-first world using trillions of contextual bidding signals coupled with proprietary behavioral models. Our audience engagement platform includes a full-service agency team and a Unified Creative Strategy that delivers ad creative ideation and execution. We have worked with hundreds of advertisers over 14 years and see 5M mobile ad requests per second from over 10B devices, driving performance for publishers and brands. The company is headquartered in San Francisco, CA, with offices in the United States, EMEA, and APAC.

Role Overview

We are seeking a motivated and detail-oriented Senior Manager of Machine Learning to join our team. In this role, you will lead a team responsible for designing and implementing machine learning models and data pipelines to enhance our programmatic demand-side platform (DSP). You will work closely with decision science, engineering, and analytics teams to drive impactful data science projects and contribute to innovative solutions. Join us in pushing the boundaries of AI and mobile advertising in a collaborative environment that fosters creativity and growth. We offer a competitive salary, comprehensive benefits, and significant opportunities for career advancement.

Role & Responsibilities

• Build, grow, and mentor a high-performing data science team, focusing on both technical development and long-term career growth.
• Lead the development of scalable machine learning pipelines for programmatic mobile advertising.
• Establish best practices for model deployment, monitoring, and performance evaluation.
• Own and lead process improvements across the ML lifecycle.
• Foster collaboration with teams in Bangalore and San Francisco including decision science and bidder engineering to launch models into production and run experiments.
• Drive timely delivery of projects and ensure rapid resolution of model-related issues in production environments.
• Design and maintain data pipelines to enable efficient processing of large-scale datasets for training and evaluation.
• Work cross-functionally with product managers, engineers, and business stakeholders to integrate models into production systems.
• Stay current with advancements in machine learning and apply cutting-edge techniques to improve platform capabilities.
• Drive innovation by exploring and adopting new methodologies, tools, and technologies.

Skills & Experience

• 7+ years of hands-on experience in data science, with a strong foundation in machine learning, statistics, and modeling.
• 3+ years of experience managing teams of data scientists or ML engineers.
• Proficiency in Python and SQL; experience with Spark is a plus.
• Expertise in ML libraries such as Scikit-Learn, LightGBM, TensorFlow, and PyTorch.
• Deep understanding of probability, statistical analysis, and experimental design.
• Demonstrated experience in deploying ML models into production and ensuring ongoing model observability.
• Excellent communication skills and the ability to explain complex ideas to both technical and non-technical audiences.
• Familiarity with RTB, auction theory, and high-throughput low-latency environments is a plus.

Description

:

Your day to day

Essential Responsibilities:

Design, Develop and optimize machine learning models for various applications.

Preprocess and analyze large datasets to extract meaningful insights.

Deploy ML solutions into production environments using appropriate tools and frameworks.

Collaborate with cross-functional teams to integrate ML models into products and services.

Monitor and evaluate the performance of deployed models.

Collaborate with various stakeholders to drive the right adoption and understand changing business needs

People Management Roles:

Oversee the team’s capabilities, timely deliveries and execution

Guide and mentor the team through projects and to facilitate their career growth

What do you need to bring-

Minimum Qualifications:

Minimum of 8 years of relevant work experience and a bachelor’s degree or equivalent experience.

Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.

Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems

Preferred Qualification:

Preferred Qualifications:

MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree

Experience in setting up & nurturing AI / ML teams.

Experience developing machine learning models at scale from inception to business impact and designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.

Subsidiary:

PayPal

Travel Percent:

0

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Description

:

Your day to day

Essential Responsibilities:

Design, Develop and optimize machine learning models for various applications.

Preprocess and analyze large datasets to extract meaningful insights.

Deploy ML solutions into production environments using appropriate tools and frameworks.

Collaborate with cross-functional teams to integrate ML models into products and services.

Monitor and evaluate the performance of deployed models.

Collaborate with various stakeholders to drive the right adoption and understand changing business needs

People Management Roles:

Oversee the team’s capabilities, timely deliveries and execution

Guide and mentor the team through projects and to facilitate their career growth

What do you need to bring-

Minimum Qualifications:

Minimum of 8 years of relevant work experience and a bachelor’s degree or equivalent experience.

Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.

Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems

Preferred Qualification:

Preferred Qualifications:

MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree

Experience in setting up & nurturing AI / ML teams.

Experience developing machine learning models at scale from inception to business impact and designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.

Subsidiary:

PayPal

Travel Percent:

0

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Description

:

Your day to day

Essential Responsibilities:

Design, Develop and optimize machine learning models for various applications.

Preprocess and analyze large datasets to extract meaningful insights.

Deploy ML solutions into production environments using appropriate tools and frameworks.

Collaborate with cross-functional teams to integrate ML models into products and services.

Monitor and evaluate the performance of deployed models.

Collaborate with various stakeholders to drive the right adoption and understand changing business needs

People Management Roles:

Oversee the team’s capabilities, timely deliveries and execution

Guide and mentor the team through projects and to facilitate their career growth

What do you need to bring-

Minimum Qualifications:

Minimum of 8 years of relevant work experience and a bachelor’s degree or equivalent experience.

Experience with ML frameworks like TensorFlow, PyTorch, or scikit-learn.

Familiarity with cloud platforms (AWS, Azure, GCP) and tools for data processing and model deployment.

Several years of experience in designing, implementing, and deploying machine learning models and scaling ML Systems

Preferred Qualification:

Preferred Qualifications:

MSc or equivalent experience in a quantitative field (Computer Science, Mathematics, Engineering, Artificial Intelligence, etc.) or a bachelor's degree

Experience in setting up & nurturing AI / ML teams.

Experience developing machine learning models at scale from inception to business impact and designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.

Subsidiary:

PayPal

Travel Percent:

0

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

Sprinklr is a leading enterprise software company for all customer-facing functions. With advanced AI, Sprinklr's unified customer experience management (Unified-CXM) platform helps companies deliver human experiences to every customer, every time, across any modern channel. Headquartered in New York City with employees around the world, Sprinklr works with more than 1,000 of the world's most valuable enterprises - global brands like Microsoft, P&G, Samsung and more than 50% of the Fortune 100.
Learn more about our culture and how we make our employees happier through **The Sprinklr Way ( .
**Job Description**
**Job Responsibilities**
+ Collaborate with Product, Services,Engineering and Data Science teams to build and deliver AI products.
+ Connect with internal and external stakeholders to understand use cases and advise on solutions.
+ Translate complex technical concepts to non-technical stakeholders.
+ Perform and manage tasks daily including but not limited to data annotation,AI quality monitoring, andKPIs monitoring.
+ Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis.
+ Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation.
+ Understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team.
+ Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders.
+ Develop systems and procedures to ensure quality of delivery.
+ Understand the scope of deliveries and create collaborative delivery plans.
+ Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand.
+ Assist in people management, including staff recruitment, performance assessmentand training.
**Preferred Qualification**
+ Full-time bachelor's or master's degree in either of the following specializations: Management/Engineering/Communication.
+ Overall, 3-5 years of experience in ML project management, AI qualitymonitoring or similar role.
+ Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts.
+ Prior experience and background in service delivery, AI quality monitoring, data annotation, KPI monitoring, data management, team management, client communication, vendor management, and documentation.
+ Awareness of ML lifecycle and workflows, from initial client consultation to final deployment.
+ Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client.
+ Organizational and interpersonal skills to keep project goals clear, have timelyconnectswith internal team/clients, and ensure deliveries are checked and tested in prior.
+ Ability to collaborate - working with theManager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team.
+ Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews.
+ Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery.
+ Developing a deep understanding of the projects to gain insights into the scope of service delivery.
+ Taking accountability for service delivery performance, meeting customer expectations, and driving future demand.
+ Analyzing third-party as well as internal processes and creating strategies for service delivery optimization.
**Why You'll Love Sprinklr:**
We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.
For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.
We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world's most loved enterprise software company, ever.
We believe in our product: Sprinklr was built from the ground up to enable a brand's digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more.
EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr's EEO Policy and EEO is the Law.
We're excited that you're interested in joining Sprinklr!
Please check back frequently to follow up on the progress of your application and continue to update your contact information as appropriate.
Here at Sprinklr, we're on a mission to help every organization on the planet create unified experiences that make customers happier. That customer obsession mirrors our commitment to our own people - to treating them like family, and to sharing a culture that reflects our values.
Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we're more innovative, creative, and successful.
Sprinklr is proud to be an equal employment opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status.
See Sprinklr's EEO Policy and Equal Employment Opportunity is the Law notice.
Sprinklr is committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans during our application process. If you have a disability or special need that requires accommodations, please let us know by filling out this form ( .

**Summary:**
Meta's Enterprise Product Applied Research team is responsible for imagining and effecting what the Meta Enterprise will look like in an AI-first world. We leverage state-of-the-art AI to build transformative products that make Metamates more productive, improve the quality of their work, and equip them to do amazing things. In the process, we are continuously setting new standards for what is possible with AI and challenging the limits of the technology.
**Required Skills:**
Software Engineering Manager, Machine Learning Responsibilities:
1. Lead teams that deliver on multiple projects of increasing dependencies in an ambiguous or high-impact area
2. Work with your team and cross-functional partners to define and influence strategy
3. Drive roadmap creation and execution
4. Collaborate with various functions, drive engineering initiatives and have an impact at an organizational level
5. Participate in technical design
6. Measure the impact of your team and set clear expectations and goals
7. Work effectively with cross-functional partners and stakeholders to set and achieve optimal outcomes
8. Partner with leadership to influence and drive organization design, contribution and prioritization
**Minimum Qualifications:**
Minimum Qualifications:
9. 5+ years of software engineering work experience, including hands-on technical management building large scale systems, algorithms, and toolsets within the Machine Learning domain
10. 5+ years experience coding in one of the following languages: C++, Java, Python and/or PHP
11. BS / MS in Computer Science or related discipline (In lieu of degree, 4+ years work experience)
12. Demonstrated experience recruiting and managing technical teams, including performance management
13. Be both highly technical and an effective people manager
14. Experience supporting machine learning teams
15. Be a subject matter expert in an ML domain
16. Successful candidate must remain in role in the same team in India for a minimum period of 24 months before being eligible for transfer to another role, team or location
**Industry:** Internet

Description

Job Responsibilities

Collaborate with Product, Services,Engineering and Data Science teams to build and deliver AI products.

Connect with internal and external stakeholders to understand use cases and advise on solutions.

Translate complex technical concepts to non-technical stakeholders.

Perform and manage tasks daily including but not limited to data annotation,AI quality monitoring, andKPIs monitoring.

Assist in training the team on AI-specific configuration, AI model development, delivery processes, and data analysis.

Knowledge of office tools like Lucid Charts, Confluence, JIRA, MS Office suite to build organized professional-level documentation.

Understand responsibilities and priorities, sense possible pitfalls, and timely discuss them with the team.

Assist or co-own escalations, work on high priority incidents, collaborate and delegate tasks within the team to meet resolutions, and establish effective synergy among stakeholders.

Develop systems and procedures to ensure quality of delivery.

Understand the scope of deliveries and create collaborative delivery plans.

Be accountable for service delivery performance, meeting customer expectations, and aiding in driving future demand.

Assist in people management, including staff recruitment, performance assessmentand training.

Preferred Qualification

Full-time bachelor's or master's degree in either of the following specializations: Management/Engineering/Communication.

Overall, 3-5 years of experience in ML project management, AI qualitymonitoring or similar role.

Understanding and knowledge of Agile and Scrum processes, terminologies, and artifacts.

Prior experience and background in service delivery, AI quality monitoring, data annotation, KPI monitoring, data management, team management, client communication, vendor management, and documentation.

Awareness of ML lifecycle and workflows, from initial client consultation to final deployment.

Good written and verbal communication skills - Ability to create training documentation, review project documents for peers, and create custom documentation when required for a client.

Organizational and interpersonal skills to keep project goals clear, have timelyconnectswith internal team/clients, and ensure deliveries are checked and tested in prior.

Ability to collaborate - working with theManager on setting team goals, planning, and achieving them. Also, present/share newer solutions or ideas for growth and improvements in the team.

Taking ownership of critical incidents, coordinating with resolution parties, and establishing effective communication between stakeholders for post-incident reviews.

Ensuring that systems, procedures, and methodologies are in place to support outstanding service delivery.

Developing a deep understanding of the projects to gain insights into the scope of service delivery.

Taking accountability for service delivery performance, meeting customer expectations, and driving future demand.

Analyzing third-party as well as internal processes and creating strategies for service delivery optimization.

Why You'll Love Sprinklr:

We're committed to creating a culture where you feel like you belong, are happier today than you were yesterday, and your contributions matter. At Sprinklr, we passionately, genuinely care. For full-time employees, we provide a range of comprehensive health plans, leading well-being programs, and financial protection for you and your family through a range of global and localized plans throughout the world.

For more information on Sprinklr Benefits around the world, head to to browse our country-specific benefits guides.

We focus on our mission: We founded Sprinklr with one mission: to enable every organization on the planet to make their customers happier. Our vision is to be the world’s most loved enterprise software company, ever.
 

We believe in our product: Sprinklr was built from the ground up to enable a brand’s digital transformation. Its platform provides every customer-facing team with the ability to reach, engage, and listen to customers around the world. At Sprinklr, we have many of the world's largest brands as our clients, and our employees have the opportunity to work closely alongside them.
 

We invest in our people: At Sprinklr, we believe every human has the potential to be amazing. We empower each Sprinklrite in the journey toward achieving their personal and professional best. For wellbeing, this includes daily meditation breaks, virtual fitness, and access to Headspace. We have continuous learning opportunities available with LinkedIn Learning and more.
 

EEO - Our philosophy: Our goal is to ensure every employee feels like they belong and are operating in a judgment-free zone regardless of gender, race, ethnicity, age, and lifestyle preference, among others. We value and celebrate diversity and fervently believe every employee matters and should be respected and heard. We believe we are stronger when we belong because collectively, we’re more innovative, creative, and successful.
 

Sprinklr is proud to be an equal-opportunity workplace and is an affirmative-action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, or Veteran status. See also Sprinklr’s EEO Policy and EEO is the Law.

Description

:

Your way to impact

As a Sr. Manager, Machine Learning Engineering in the team, you will be customer-centric, strategic & analytical in decision making and laser-focused on executing at scale. You thrive on the challenge of building and optimizing platforms at scale, are deeply passionate about leveraging cutting-edge technologies, and are dedicated to innovation and market success. Your role will involve leveraging your extensive technical expertise and practical experience in AI/ML to lead substantive discussions with technical and data science teams on solution implementation, and integration within complex environments.

Your day to day

Essential Responsibilities:

Design, Develop and optimize machine learning models for various applications.

Preprocess and analyze large datasets to extract meaningful insights.

Deploy ML solutions into production environments using appropriate tools and frameworks.

Collaborate with cross-functional teams to integrate ML models into products and services.

Monitor and evaluate the performance of deployed models.

Collaborate with various stakeholders to drive the right adoption and understand changing business needs

People Management Roles:

Oversee the team’s capabilities, timely deliveries and execution

Guide and mentor the team through projects and to facilitate their career growth

Minimum Qualifications:

Minimum of 12 years of relevant work experience and a Bachelor's degree or equivalent experience.

Previous management experience

Preferred Qualification:

Experience in setting up & nurturing AI / ML teams.

Experience developing machine learning models at scale from inception to business impact and designing ML pipelines, including model versioning, model deployment, model testing, and monitoring.

Experienced Manager of managers

Subsidiary:

PayPal

Travel Percent:

0

For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations.

Our Benefits:

At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset—you. That’s why we offer benefits to help you thrive in every stage of life. We champion your financial, physical, and mental health by offering valuable benefits and resources to help you care for the whole you.

We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit .

Who We Are:

to learn more about our culture and community.

Commitment to Diversity and Inclusion

PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at .

Belonging at PayPal:  

Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal.

Any general requests for consideration of your skills, please .

We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.

**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.
**What you will do**
Let's do this. Let's change the world. In this vital role you will join a fun, innovative engineering team within the AI & Data Science (AI&D) - organization. You'll work on next-generation capabilities and services in Applied AI & Automation using innovative COTS products, open-source software, frameworks, tools, and cloud computing services. The role also emphasizes demonstrating these capabilities to support critical business operations and initiatives, in ensuring quality, compliance, and performance across Amgen's Applied AI & Automation Footprint.
The **Sr Manager Machine Learning & Agent delivery** is responsible for driving innovation in AI/ML and agent-based system design at Amgen. This role is integral to advancing the organization's AI strategy by developing intelligent, scalable, and secure multi-agent systems. The Sr Manager Machine Learning & Agent delivery will be responsible for leading technical innovation, mentoring AI/ML teams, and integrating agent-based solutions into enterprise platforms. The ideal candidate has strong experience in design and architecture of AI systems, platforms and cognitive solutions, with excellent communication skills, and a deep understanding of Agile methodologies.
**Roles & Responsibilities:**
+ Play a key role in building and leading a distributed team of Architects, AI/ML Engineers contributing to a growing internal AI & Automation Platforms and Solutions management practice.
+ Mentor and provide thought leadership for AI/ML engineers and data scientists, enabling continuous technical growth in agentic design, reinforcement learning, and AI standard methodologies.
+ Design, implement, and optimize multi-agent AI/ML systems that enhance automation, decision-making, and system efficiency.
+ Define and set the direction for AI/ML frameworks that enable scalable and robust agentic solutions.
+ Lead engineering of end-to-end ML pipelines - data ingestion, feature engineering, training, hyper-parameter optimization, evaluation, registration and automated promotion - using Kubeflow, SageMaker Pipelines, Open AI SDK or equivalent MLOps stacks.
+ Strong working knowledge of agentic AI or agent-based automation such as AWS BDA, OpenAI, Langchain, Langgraph, UiPath.
+ Contribute reusable platform components - feature stores, model registries, experiment-tracking libraries - and evangelize standard processes that raise engineering velocity across global delivery teams.
+ Work closely with multi-functional teams to integrate agent-based solutions into Amgen's enterprise platforms, aligning AI strategies with business objectives.
+ Partner with leadership, product teams, and other collaborators to identify AI opportunities, streamline implementations, and align AI/ML strategies with company goals.
+ Ensure that AI solutions meet enterprise-scale performance, security, and reliability standards, while maintaining detailed documentation for long-term scalability.
+ Embed security and responsible-AI controls (data encryption, access policies, lineage tracking, explainability and bias monitoring) in partnership with Security, Privacy and Compliance teams.
+ Stay at the forefront of emerging trends in agentic automation, autonomous agents, AI orchestration, and GenAI. Evaluate and pilot new tools and frameworks and bring forward innovative capabilities that align with enterprise strategy.
+ Conduct market research and competitive analysis to find opportunities and inform product/platforms strategy.
**What we expect of you**
We are all different, yet we all use our unique contributions to serve patients.
**Basic Qualifications:**
+ Doctorate/Masters/Bachelors degree with 12 - 17 years of experience as Product Owner / Platform Owner / Service Owner.
**Functional Skills:**
+ Expertise in designing and implementing AI/ML systems and Agents, Agentic Processes.
+ Expert knowledge of GenAI tooling: vector databases, RAG pipelines, prompt-engineering DSLs and agent frameworks (e.g., LangChain, Semantic Kernel).
+ Proficiency in Python and Java; containerization (Docker/K8s); cloud (AWS, or Azure) and modern DevOps/MLOps (GitHub Actions, Bedrock/SageMaker Pipelines).
+ Strong background in authoring and managing highly complex technical documentation at an enterprise level.
+ Ability to lead multidisciplinary teams including AI/ML engineers, and architects in a matrixed or agile environment.
+ Proven track record selecting and integrating AI SaaS/PaaS offerings and building custom ML services at scale.
**Good-to-Have Skills:**
+ Comprehensive command of machine-learning algorithms - regression, tree-based ensembles, clustering, dimensionality reduction, time-series models, deep-learning architectures (CNNs, RNNs, transformers) and modern LLM/RAG techniques.
+ Knowledge in Intelligent Automation with experience in automations tools like UiPath & Power Automate, Process Intelligence tools like Celonis, DocuSign and GenAI Tools/LLMs.
+ Knowledge of data privacy, governance, and regulatory requirements (e.g., GxP, HIPAA, GDPR) in deploying AI/automation.
+ Experience managing change and driving adoption of new digital technologies across large or regulated enterprises.
+ Domain Knowledge in Life Sciences / Healthcare.
+ Strong knowledge of Agile methodologies and product management principles.
**Soft Skills:**
+ Ability to lead, coach, and grow multidisciplinary teams by fostering trust, psychological safety, and a high-performance culture.
+ Ability to convey complex AI/ML concepts to both technical and non-technical collaborators.
+ Drives transformation by inspiring others, navigating resistance, and building momentum for adopting AI and automation at scale.
+ Effectively aligns and motivates multi-functional partners, even in matrixed or decentralized environments.
+ Maintains focus and adaptability in a dynamic, fast-evolving tech landscape quickly responding to change while guiding the team with clarity.
**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.