4,959 AI Application Development jobs in India

Job Summary

As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications.

In This Role, Your Responsibilities Will Be:

Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements

Conduct rigorous tests on AI-based applications, including generative models, AI Assistant/AI agent platforms, and machine learning algorithms, to assess their effectiveness, accuracy, and usability

Identify, document, and report defects, bugs, and AI behavior anomalies. Test for AI's response consistency, context understanding, and the ability to generate relevant outputs; collaborating with the development team to resolve issues

Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing

Work with data engineers, data scientists, and development teams to prepare test data for training, validation, and testing of AI models

Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications; ensuring no regression issues or performance drops after model retraining or new version releases

Assist in training and fine-tuning AI models based on real-world user feedback and test results. Provide validation to ensure ethical AI standards are met

Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues

Who You Are:

Multi-functional teammate

Detailed, organized, flexible, and proactive teammate

Willing to accept feedback and implement changes quickly and with a positive attitude

Comfortable working in an Agile development environment

In This Role, You Will Need:

Bachelor’s degree and 2+ years of relevant experience or a master’s degree and 1+ year of meaningful experience

Strong knowledge of AI technologies, machine learning frameworks, and NLP, RAG, OCR

Outstanding English writing and verbal communication skills

Ability to develop product understanding by working closely with product developers in an Agile development environment

Ability to design and organize document structure

Curiosity about hands-on installation, configuration and use of the software to further develop product understanding

Understanding of accepted technical writing style conventions

Experience in writing technical documents

Ability to work collaboratively as part of a team

Self-motivated and able to work independently

Ability to simultaneously handle multiple projects and monitor their progress with minimal direction

Excellent time management skills and ability to meet deadlines

Strong research skills.

Preferred Qualifications that Set You Apart:

Bachelor's Degree in Computer Science, Engineering, or a related field.

3+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, generative AI models or software development

Knowledge of ethical AI principles and bias detection in AI models

Proficiency with automated testing tools ., Selenium; AI tools and platforms (such as TensorFlow, PyTorch, OpenAI, GPT, Copilot

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Job Summary

As a Tester AI Application Development at Emerson, you will be responsible for ensuring the quality and reliability of AI-driven applications by testing, verifying, and validating the software through automated and manual testing methods. You will work closely with data scientists, software engineers, and other collaborators to improve the performance and usability of AI applications.

In This Role, Your Responsibilities Will Be:

Design and implement detailed test plans and test cases for AI-based applications to ensure the functionality, performance, and security meet the standards and requirements

Conduct rigorous tests on AI-based applications, including generative models, AI Assistant/AI agent platforms, and machine learning algorithms, to assess their effectiveness, accuracy, and usability

Identify, document, and report defects, bugs, and AI behavior anomalies. Test for AI's response consistency, context understanding, and the ability to generate relevant outputs; collaborating with the development team to resolve issues

Develop and implement automated test scripts for AI models, ensuring scalability and efficiency in testing

Work with data engineers, data scientists, and development teams to prepare test data for training, validation, and testing of AI models

Conduct functional testing, regression testing, load testing, and performance testing for AI-powered applications; ensuring no regression issues or performance drops after model retraining or new version releases

Assist in training and fine-tuning AI models based on real-world user feedback and test results. Provide validation to ensure ethical AI standards are met

Identify, document, and report defects found during the testing phases, collaborating with the development team to resolve issues

Who You Are:

Multi-functional teammate

Detailed, organized, flexible, and proactive teammate

Willing to accept feedback and implement changes quickly and with a positive attitude

Comfortable working in an Agile development environment

In This Role, You Will Need:

Bachelor’s degree and + years of relevant experience or a master’s degree and + year of meaningful experience

Strong knowledge of AI technologies, machine learning frameworks, and NLP, RAG, OCR

Outstanding English writing and verbal communication skills

Ability to develop product understanding by working closely with product developers in an Agile development environment

Ability to design and organize document structure

Curiosity about hands-on installation, configuration and use of the software to further develop product understanding

Understanding of accepted technical writing style conventions

Experience in writing technical documents

Ability to work collaboratively as part of a team

Self-motivated and able to work independently

Ability to simultaneously handle multiple projects and monitor their progress with minimal direction

Excellent time management skills and ability to meet deadlines

Strong research skills.

Preferred Qualifications that Set You Apart:

Bachelor's Degree in Computer Science, Engineering, or a related field.

+ Years experience in Quality Assurance testing for AI-based applications, machine learning models, generative AI models or software development

Knowledge of ethical AI principles and bias detection in AI models

Proficiency with automated testing tools , Selenium; AI tools and platforms (such as TensorFlow, PyTorch, OpenAI, GPT, Copilot etc.)

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

**Job Summary:**
As a Solution Architect Emerson, you will be responsible for designing and guiding the implementation of scalable, high-performance AI/ML architectures. You will work closely with developers, data scientists, engineers, and other customers to ensure that our AI/ML solutions meet business needs and technological standards.
**In this Role, Your Responsibilities Will Be:**
+ Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions.
+ Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration.
+ Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance.
+ Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance.
+ Work with multi-functional teams, including developers, data scientists, machine learning engineers, and business customers, to understand requirements and design solutions that align with business objectives.
+ Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and standard processes.
+ Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective
+ Ensure that AI/ML systems stay in sync with security standards and regulatory requirements. Implement standard processes for data privacy and protection.
**Who You Are:**
You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.
**For This Role, You Will Need:**
+ Bachelor's degree or equivalent experience in computer science, Data Science, Statistics, master's degree or equivalent experienced or a master's degree or higher is preferred.
+ Total 10-15 years of proven experience
+ More than proven experience in designing and implementing AI/ML architectures, with a consistent record of successful projects.
+ Extensive experience with machine learning frameworks (e.g., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools.
+ Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing.
+ Experience with Microsoft Azure cloud services and their AI/ML offerings
+ Experience with event-handling systems such as Kafka
+ Proficiency in data technologies and data engineering practices.
+ Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical customers.
**Preferred Qualifications that Set You Apart:**
+ Prior experience in development of products is crucial.
+ Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have
+ Experience with AI/ML model versioning and life cycle management.
+ Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes).
+ Knowledge of AI ethics and responsible AI practices.
+ Constantly strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry.
**Our Culture & Commitment to You**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
**WHY EMERSON**
**Our Commitment to Our People**
At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.
We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world's most complex problems - for our customers, our communities, and the planet. You'll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.
At Emerson, you'll see firsthand that our people are at the center of everything we do. So, let's go. Let's think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let's go, together.
**Accessibility Assistance or Accommodation**
If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: .
**ABOUT EMERSON**
Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you're an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you'll find your chance to make a difference with Emerson. Join our team - let's go!
**No calls or agencies please.**
**Requisition ID** : 25018196
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

**Job Summary:**
As a DevOps Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are efficiently integrated into production systems and deliver high performance.
**In this Role, Your Responsibilities Will Be:**
+ Deploy and handle machine learning models in production environments, ensuring they are scalable, reliable, and performant.
+ Design and implement CI/CD (Continuous Integration/Continuous Deployment) pipelines for ML models to streamline development and deployment processes.
+ Develop and maintain the infrastructure required for model deployment, including containerization (e.g., Docker), orchestration (e.g., Kubernetes), and cloud services (e.g., AWS, Google Cloud, Azure).
+ Supervise the performance of deployed models, seek issues, and perform regular maintenance to ensure models remain accurate and effective.
+ Make sure that model deployment and data handling align with security and regulatory requirements Implement standard methodologies for data privacy and protection.
+ Create and maintain documentation for deployment processes, model performance, and system configurations. Deliver clear and detailed reports to collaborators.
+ Identify and implement improvements to model performance, deployment processes, and infrastructure efficiency.
+ Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective
**Who You Are:**
You quickly and critically act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.
**For This Role, You Will Need:**
+ Bachelor's degree in computer science, Data Science, Statistics, or a related field or equivalent experience is acceptable
+ Total 7+ years of confirmed experience
+ More than tried ability in ML Ops, DevOps, or a related role, with a confirmed understanding of deploying and handling machine learning models in production environments.
+ Experience with containerization technologies (e.g., Docker or equivalent and orchestration platforms (e.g., Kubernetes).
+ Familiarity with cloud services Azure and AWS and their ML offerings
+ Experience with CI/CD tools and practices for automating deployment pipelines (e.g., Azure Pipeline, Azure DevOps).
+ Experience with supervising and logging tools to supervise model performance and system health.
**Preferred Qualifications that Set You Apart:**
+ Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are nice to have
+ Knowledge of data engineering and ETL (Extract, Transform, Load) processes.
+ Experience with version control systems (e.g., Git) and collaboration tools
+ Understanding of machine learning model life cycle management and model versioning.
**Our Culture & Commitment to You**
At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives-because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results.
We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.
**WHY EMERSON**
**Our Commitment to Our People**
At Emerson, we are motivated by a spirit of collaboration that helps our diverse, multicultural teams across the world drive innovation that makes the world healthier, safer, smarter, and more sustainable. And we want you to join us in our bold aspiration.
We have built an engaged community of inquisitive, dedicated people who thrive knowing they are welcomed, trusted, celebrated, and empowered to solve the world's most complex problems - for our customers, our communities, and the planet. You'll contribute to this vital work while further developing your skills through our award-winning employee development programs. We are a proud corporate citizen in every city where we operate and are committed to our people, our communities, and the world at large. We take this responsibility seriously and strive to make a positive impact through every endeavor.
At Emerson, you'll see firsthand that our people are at the center of everything we do. So, let's go. Let's think differently. Learn, collaborate, and grow. Seek opportunity. Push boundaries. Be empowered to make things better. Speed up to break through. Let's go, together.
**Accessibility Assistance or Accommodation**
If you have a disability and are having difficulty accessing or using this website to apply for a position, please contact: .
**ABOUT EMERSON**
Emerson is a global leader in automation technology and software. Through our deep domain expertise and legacy of flawless execution, Emerson helps customers in critical industries like life sciences, energy, power and renewables, chemical and advanced factory automation operate more sustainably while improving productivity, energy security and reliability.
With global operations and a comprehensive portfolio of software and technology, we are helping companies implement digital transformation to measurably improve their operations, conserve valuable resources and enhance their safety.
We offer equitable opportunities, celebrate diversity, and embrace challenges with confidence that, together, we can make an impact across a broad spectrum of countries and industries. Whether you're an established professional looking for a career change, an undergraduate student exploring possibilities, or a recent graduate with an advanced degree, you'll find your chance to make a difference with Emerson. Join our team - let's go!
**No calls or agencies please.**
**Requisition ID** : 25017922
Emerson is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to sex, race, color, religion, national origin, age, marital status, political affiliation, sexual orientation, gender identity, genetic information, disability or protected veteran status. We are committed to providing a workplace free of any discrimination or harassment.

Job Summary:

As a Solution Architect Emerson, you will be responsible for designing and guiding the implementation of scalable, high-performance AI/ML architectures. You will work closely with developers, data scientists, engineers, and other customers to ensure that our AI/ML solutions meet business needs and technological standards.

In this Role, Your Responsibilities Will Be:

Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions.

Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration.

Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance.

Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance.

Work with multi-functional teams, including developers, data scientists, machine learning engineers, and business customers, to understand requirements and design solutions that align with business objectives.

Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and standard processes.

Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective

Ensure that AI/ML systems stay in sync with security standards and regulatory requirements. Implement standard processes for data privacy and protection.

Who You Are:

You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.

 For This Role, You Will Need:

Bachelor’s degree or equivalent experience in computer science, Data Science, Statistics, master's degree or equivalent experienced or a master's degree or higher is preferred.

Total - years of proven experience

More than proven experience in designing and implementing AI/ML architectures, with a consistent record of successful projects.

Extensive experience with machine learning frameworks (, Go, TensorFlow, PyTorch), programming languages C, .Net, NodeJS and data processing tools.

Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing.

Experience with Microsoft Azure cloud services and their AI/ML offerings

Experience with event-handling systems such as Kafka

Proficiency in data technologies and data engineering practices.

Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical customers.

Preferred Qualifications that Set You Apart:

Prior experience in development of products is crucial.

Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have

Experience with AI/ML model versioning and life cycle management.

Familiarity with containerization and orchestration technologies (, Docker, Kubernetes).

Knowledge of AI ethics and responsible AI practices.

Constantly strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Job Summary:

As a Solution Architect Emerson, you will be responsible for designing and guiding the implementation of scalable, high-performance AI/ML architectures. You will work closely with developers, data scientists, engineers, and other customers to ensure that our AI/ML solutions meet business needs and technological standards.

In this Role, Your Responsibilities Will Be:

Design robust and scalable AI/ML architectures that support the development and deployment of machine learning models and AI solutions.

Develop and guide the implementation of end-to-end AI/ML solutions, including model development, data processing, and system integration.

Evaluate and recommend the latest AI/ML technologies, frameworks, and tools to enhance system capabilities and performance.

Collaborate with software engineers and other development teams to integrate AI/ML solutions into existing systems and applications. Ensure seamless operation and performance.

Work with multi-functional teams, including developers, data scientists, machine learning engineers, and business customers, to understand requirements and design solutions that align with business objectives.

Create and maintain comprehensive documentation for AI/ML architectures, including design specifications, deployment procedures, and standard processes.

Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective

Ensure that AI/ML systems stay in sync with security standards and regulatory requirements. Implement standard processes for data privacy and protection.

Who You Are:

You quickly and decisively act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.

 For This Role, You Will Need:

Bachelor’s degree or equivalent experience in computer science, Data Science, Statistics, master's degree or equivalent experienced or a master's degree or higher is preferred.

Total 10-15 years of proven experience

More than proven experience in designing and implementing AI/ML architectures, with a consistent record of successful projects.

Extensive experience with machine learning frameworks (., Go, TensorFlow, PyTorch), programming languages C#, .Net, NodeJS and data processing tools.

Strong understanding of system architecture principles, including distributed systems, microservices, and cloud computing.

Experience with Microsoft Azure cloud services and their AI/ML offerings

Experience with event-handling systems such as Kafka

Proficiency in data technologies and data engineering practices.

Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical customers.

Preferred Qualifications that Set You Apart:

Prior experience in development of products is crucial.

Prior experience in working with teams in Scaled Agile Framework (SAFe) is nice to have

Experience with AI/ML model versioning and life cycle management.

Familiarity with containerization and orchestration technologies (., Docker, Kubernetes).

Knowledge of AI ethics and responsible AI practices.

Constantly strive to learn new technologies and look for ways to stay up to date in this rapidly changing industry.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Job Summary:

As a DevOps Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are efficiently integrated into production systems and deliver high performance.

In this Role, Your Responsibilities Will Be:

Deploy and handle machine learning models in production environments, ensuring they are scalable, reliable, and performant.

Design and implement CI/CD (Continuous Integration/Continuous Deployment) pipelines for ML models to streamline development and deployment processes.

Develop and maintain the infrastructure required for model deployment, including containerization (, Docker), orchestration (, Kubernetes), and cloud services (, AWS, Google Cloud, Azure).

Supervise the performance of deployed models, seek issues, and perform regular maintenance to ensure models remain accurate and effective.

Make sure that model deployment and data handling align with security and regulatory requirements Implement standard methodologies for data privacy and protection.

Create and maintain documentation for deployment processes, model performance, and system configurations. Deliver clear and detailed reports to collaborators.

Identify and implement improvements to model performance, deployment processes, and infrastructure efficiency.

Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective

Who You Are:

You quickly and critically act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.

For This Role, You Will Need:

Bachelor’s degree in computer science, Data Science, Statistics, or a related field or equivalent experience is acceptable

Total + years of confirmed experience

More than tried ability in ML Ops, DevOps, or a related role, with a confirmed understanding of deploying and handling machine learning models in production environments.

Experience with containerization technologies (, Docker or equivalent and orchestration platforms (, Kubernetes).

Familiarity with cloud services Azure and AWS and their ML offerings 

Experience with CI/CD tools and practices for automating deployment pipelines (, Azure Pipeline, Azure DevOps).

Experience with supervising and logging tools to supervise model performance and system health.

Preferred Qualifications that Set You Apart:

Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are nice to have

Knowledge of data engineering and ETL (Extract, Transform, Load) processes.

Experience with version control systems (, Git) and collaboration tools

Understanding of machine learning model life cycle management and model versioning.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Job Summary:

As a DevOps Engineer at Emerson, you will be responsible for overseeing the end-to-end lifecycle of machine learning models, from deployment to monitoring and maintenance. You will work closely with data scientists, machine learning engineers, and development teams to ensure that ML models are efficiently integrated into production systems and deliver high performance.

In this Role, Your Responsibilities Will Be:

Deploy and handle machine learning models in production environments, ensuring they are scalable, reliable, and performant.

Design and implement CI/CD (Continuous Integration/Continuous Deployment) pipelines for ML models to streamline development and deployment processes.

Develop and maintain the infrastructure required for model deployment, including containerization (., Docker), orchestration (., Kubernetes), and cloud services (., AWS, Google Cloud, Azure).

Supervise the performance of deployed models, seek issues, and perform regular maintenance to ensure models remain accurate and effective.

Make sure that model deployment and data handling align with security and regulatory requirements Implement standard methodologies for data privacy and protection.

Create and maintain documentation for deployment processes, model performance, and system configurations. Deliver clear and detailed reports to collaborators.

Identify and implement improvements to model performance, deployment processes, and infrastructure efficiency.

Participate in regular Scrum events such as Sprint Planning, Sprint Review, and Sprint Retrospective

Who You Are:

You quickly and critically act in constantly evolving, unexpected situations. You adjust communication content and style to meet the needs of diverse partners. You always keep the end in sight; puts in extra effort to meet deadlines. You analyze multiple and diverse sources of information to define problems accurately before moving to solutions. You observe situational and group dynamics and select best-fit approach.

For This Role, You Will Need:

Bachelor’s degree in computer science, Data Science, Statistics, or a related field or equivalent experience is acceptable

Total 7+ years of confirmed experience

More than tried ability in ML Ops, DevOps, or a related role, with a confirmed understanding of deploying and handling machine learning models in production environments.

Experience with containerization technologies (., Docker or equivalent and orchestration platforms (., Kubernetes).

Familiarity with cloud services Azure and AWS and their ML offerings 

Experience with CI/CD tools and practices for automating deployment pipelines (., Azure Pipeline, Azure DevOps).

Experience with supervising and logging tools to supervise model performance and system health.

Preferred Qualifications that Set You Apart:

Prior experience in engineering domain and working with teams in Scaled Agile Framework (SAFe) are nice to have

Knowledge of data engineering and ETL (Extract, Transform, Load) processes.

Experience with version control systems (., Git) and collaboration tools

Understanding of machine learning model life cycle management and model versioning.

Our Culture & Commitment to You

At Emerson, we prioritize a workplace where every employee is valued, respected, and empowered to grow. We foster an environment that encourages innovation, collaboration, and diverse perspectives—because we know that great ideas come from great teams. Our commitment to ongoing career development and growing an inclusive culture ensures you have the support to thrive. Whether through mentorship, training, or leadership opportunities, we invest in your success so you can make a lasting impact. We believe diverse teams, working together are key to driving growth and delivering business results. 

We recognize the importance of employee wellbeing. We prioritize providing competitive benefits plans, a variety of medical insurance plans, Employee Assistance Program, employee resource groups, recognition, and much more. Our culture offers flexible time off plans, including paid parental leave (maternal and paternal), vacation and holiday leave.

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges. 

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment. 

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implementdata, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Inviting applications for the role of Principal Consultant-Generative AI – Application development Senior Developer

 We are looking for a Senior Application Developer to join our product engineering team. This role requires hands-on experience in designing and developing scalable application components with a strong focus on API development, middleware orchestration, and data transformation workflows. You will be responsible for building foundational components that integrate data pipelines, orchestration layers, and user interfaces, enabling next-gen digital and AI-powered experiences.

Key Responsibilities:

Design, develop, and manage robust APIs and middleware services using Python frameworks like FastAPI and Uvicorn, ensuring scalable and secure access to platform capabilities.

Develop end-to-end data transformation workflows and pipelines using LangChain, spacy, tiktoken, presidio-analyzer, and llm-guard, enabling intelligent content and data processing.

Implement integration layers and orchestration logic for seamless communication between data sources, services, and UI using technologies like OpenSearch, boto3, requests-aws4auth, and urllib3.

Work closely with UI/UX teams to integrate APIs into modern front-end frameworks such as ReactJS, Redux Toolkit, and Material UI.

Build configurable modules for ingestion, processing, and output using Python libraries like PyMuPDF, openpyxl, and Unidecode for handling structured and unstructured data.

Implement best practices for API security, data privacy, and anonymization using tools like presidio-anonymizer and llm-guard.

Drive continuous improvement in performance, scalability, and reliability of the platform architecture.

Qualifications we seek in you:

Minimum Qualifications

Experience in software development in enterprise/ web applications

Languages & Frameworks: Python, JavaScript/TypeScript, FastAPI, ReactJS, Redux Toolkit

Libraries & Tools: langchain, presidio-analyzer, PyMuPDF, spacy, rake-nltk, inflection, openpyxl, tiktoken

APIs & Integration: FastAPI, requests, urllib3, boto3, opensearch-py, requests-aws4auth

UI/UX: ReactJS, Material UI, LESS

Cloud & DevOps: AWS SDKs, API gateways, logging, and monitoring frameworks (optional experience with serverless is a plus)

Preferred Qualifications:

Strong understanding of API lifecycle management, REST principles, and microservices.

Experience in data transformation, document processing, and middleware architecture.

Exposure to AI/ML or Generative AI workflows using LangChain or OpenAI APIs.

Prior experience working on secure and compliant systems involving user data.

Experience in CI/CD pipelines, containerization (Docker), and cloud-native deployments (AWS preferred).

Why join Genpact?

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation 

Make an impact – Drive change for global enterprises and solve business challenges that matter 

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities 

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day 

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress 

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters: Up. 

Let’s build tomorrow together.