1,239 Numpy jobs in India
Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer

Posted today
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer to join our team in Bangalore, Karnataka (IN-KA), India (IN).
Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer
must have skills: coding in OOP language: Python
must have skills: and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, TensorFlow, etc.) and AWS services: Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.
Minimum Experience on Key Skills
- 6 to 9 Years
General Expectation
1) Must have Good Communication
2) Must be ready to work in 10:30 AM to 8:30 PM Shift
3) Flexible to work in Client Location Manyata or EGL, Bangalore
4) Must be ready to work from office in a Hybrid work environment. Full Remote work is not an option
5) Expect Full Return to office from Feb/Mar'25
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer

Posted today
Job Viewed
Job Description
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer to join our team in Bangalore, Karnataka (IN-KA), India (IN).
Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer
must have skills: coding in OOP language: Python
must have skills: and exposure to some of Python's ML ecosystem (numpy, panda, sklearn, TensorFlow, etc.) and AWS services: Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.
Minimum Experience on Key Skills
- 6 to 9 Years
General Expectation
1) Must have Good Communication
2) Must be ready to work in 10:30 AM to 8:30 PM Shift
3) Flexible to work in Client Location Manyata or EGL, Bangalore
4) Must be ready to work from office in a Hybrid work environment. Full Remote work is not an option
5) Expect Full Return to office from Feb/Mar'25
**About NTT DATA**
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com ( DATA endeavors to make_** **_ **_accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at_** **_ **_._** **_This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here ( . If you'd like more information on your EEO rights under the law, please click here ( . For Pay Transparency information, please click here ( ._**
Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer
Posted today
Job Viewed
Job Description
Req ID: 330767
NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now.
We are currently seeking a Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Python, Python’s ML (numpy, panda, sklearn, TensorFlow), AWS - Developer
must have skills: coding in OOP language: Python
must have skills: and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, TensorFlow, etc.) and AWS services: Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.
Minimum Experience on Key Skills
- 6 to 9 Years
General Expectation
1) Must have Good Communication
2) Must be ready to work in 10:30 AM to 8:30 PM Shift
3) Flexible to work in Client Location Manyata or EGL, Bangalore
4) Must be ready to work from office in a Hybrid work environment. Full Remote work is not an option
5) Expect Full Return to office from Feb/Mar'25
About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at us.nttdata.com
NTT DATA endeavors to make accessible to any and all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process, please contact us at . This contact information is for accommodation requests only and cannot be used to inquire about the status of applications. NTT DATA is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status. For our EEO Policy Statement, please click here . If you'd like more information on your EEO rights under the law, please click here . For Pay Transparency information, please click here .
Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer
Posted today
Job Viewed
Job Description
Req ID: 330767
We are currently seeking a Python, Python's ML (numpy, panda, sklearn, TensorFlow), AWS - Developer to join our team in Bangalore, Karnātaka (IN-KA), India (IN).
Python, Python’s ML (numpy, panda, sklearn, TensorFlow), AWS - Developer
must have skills: coding in OOP language: Python
must have skills: and exposure to some of Python’s ML ecosystem (numpy, panda, sklearn, TensorFlow, etc.) and AWS services: Experience in building cloud native applications using AWS services like S3, RDS, CFT, SNS, SQS, Step functions, Event Bridge, cloud watch etc.
Minimum Experience on Key Skills
- 6 to 9 Years
General Expectation
1) Must have Good Communication
2) Must be ready to work in 10:30 AM to 8:30 PM Shift
3) Flexible to work in Client Location Manyata or EGL, Bangalore
4) Must be ready to work from office in a Hybrid work environment. Full Remote work is not an option
5) Expect Full Return to office from Feb/Mar'25
About NTT DATA
NTT DATA is a $30 billion trusted global innovator of business and technology services. We serve 75% of the Fortune Global 100 and are committed to helping clients innovate, optimize and transform for long term success. As a Global Top Employer, we have diverse experts in more than 50 countries and a robust partner ecosystem of established and start-up companies. Our services include business and technology consulting, data and artificial intelligence, industry solutions, as well as the development, implementation and management of applications, infrastructure and connectivity. We are one of the leading providers of digital and AI infrastructure in the world. NTT DATA is a part of NTT Group, which invests over $3.6 billion each year in R&D to help organizations and society move confidently and sustainably into the digital future. Visit us at
Data Science
Posted 3 days ago
Job Viewed
Job Description
Dear Connection!
find the below mention JD for the skill
Job Description
1Role - Senior Product Engineer (Designer)
2Required Technical Skill Set - Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP
3Desired Experience Range - 8-10 Years Hands On Experience in Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP
4Location of Requirement - India - Bhubaneswar
Competencies Required (Technical/Behavioral Competency)
Essentials
- Data Science AI/ML ,
- Java
- Python
- Generative AI
- Computer vision
- NLP
Desirable
- Exposure to Product Development
Sl. No.
Responsibility of / Expectations from the Role
1 Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions
2 Design Generative AI, LLMs, and deep learning technologies
Type
Details of The Role (For Candidate Briefing)
Reporting To Which Role
Product Engineering Lead
Size of the Team, if any Reporting to this Role
5
On-site Opportunity
N/A
Career Path & Unique Selling Proposition (USP) of The Role
- Develop as a Product Architect
- Hands On exposure to global customers in next generational digital transformation
- Work with a global team of industry experts and thought leaders
Details of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.
The Digital Software and Solutions Group in TCS is partnering with customers in leading Digital Transformation initiatives across the domains of Customer Intelligence, Digital Commerce and Intelligent Infrastructure (IoT) . The group is focused on bringing industry focused pre-integrated software that brings together the disruptive technologies of Big Data Analytics, Mobility, Social and Cloud in order to accelerate Digital Transformation Initiatives in order to increase organizational efficiencies and more importantly how companies will be engaging with their customers.
This role is for Product Engineering team within the DS&S unit.
Data Science
Posted 7 days ago
Job Viewed
Job Description
About the company:
Making Trade Happen
Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.
Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.
With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.
As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.
Every day, our teams are making trade happen. Join us!
Ideal Candidate Profile:
- Must have a background in Computer Science
- Hands-on experience in Machine Learning and Natural Language Processing (NLP)
- Strong Python development skills , with a focus on writing high-quality, maintainable code.
- Familiar with code reviews and continuous integration (CI) best practices.
- Experience with Docker and Kubernetes for containerization and orchestration.
- Exposure to cloud-based applications and deployment workflows.
- Proficient in SQL and NoSQL databases , including document and graph-based systems.
- Comfortable working in Linux environments and using Git for version control.
- Demonstrates autonomy , curiosity , and rigor in problem-solving and development.
Mission:
- You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
- You design and fully develop solutions that can implement AI technologies.
- You contribute to technology watch
The Job description:
- The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
- The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
- Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.
About role:
The use cases for data science are varied and lead to concrete implementations. Here are some examples:
- Score the risk of corporate failure in every country
- Extract information from images, documents and web scrapping
- Build knowledge graphs from corporates linkages
- Specialize search engine and language models in identifying companies
- Generate visual and textual explanations for AI model predictions
Key Qualifications & Experience:
- Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
- Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
- Experience of Docker/Kubernetes deployment and cloud applications desirable
- Use of Linux and Git
- Practice of SQL and experience with NoSQL databases (document, graph)
- Autonomy, curiosity, rigor
What can we offer you?
- Flexible working model: up to 3days of home office per week after the 1st month
- Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
- Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field
Diversity, Equity & Inclusion :
Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.
As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.
Data Science
Posted 3 days ago
Job Viewed
Job Description
find the below mention JD for the skill
Job Description
1Role - Senior Product Engineer (Designer)
2Required Technical Skill Set - Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP
3Desired Experience Range - 8-10 Years Hands On Experience in Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP
4Location of Requirement - India - Bhubaneswar
Competencies Required (Technical/Behavioral Competency)
Essentials
Data Science AI/ML ,
Java
Python
Generative AI
Computer vision
NLP
Desirable
Exposure to Product Development
Sl. No.
Responsibility of / Expectations from the Role
1 Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions
2 Design Generative AI, LLMs, and deep learning technologies
Type
Details of The Role (For Candidate Briefing)
Reporting To Which Role
Product Engineering Lead
Size of the Team, if any Reporting to this Role
5
On-site Opportunity
N/A
Career Path & Unique Selling Proposition (USP) of The Role
Develop as a Product Architect
Hands On exposure to global customers in next generational digital transformation
Work with a global team of industry experts and thought leaders
Details of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.
The Digital Software and Solutions Group in TCS is partnering with customers in leading Digital Transformation initiatives across the domains of Customer Intelligence, Digital Commerce and Intelligent Infrastructure (IoT) . The group is focused on bringing industry focused pre-integrated software that brings together the disruptive technologies of Big Data Analytics, Mobility, Social and Cloud in order to accelerate Digital Transformation Initiatives in order to increase organizational efficiencies and more importantly how companies will be engaging with their customers.
This role is for Product Engineering team within the DS&S unit.
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Data Science
Posted 5 days ago
Job Viewed
Job Description
Making Trade Happen
Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.
Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.
With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.
As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.
Every day, our teams are making trade happen. Join us!
Ideal Candidate Profile:
Must have a background in Computer Science
Hands-on experience in Machine Learning and Natural Language Processing (NLP)
Strong Python development skills , with a focus on writing high-quality, maintainable code.
Familiar with code reviews and continuous integration (CI) best practices.
Experience with Docker and Kubernetes for containerization and orchestration.
Exposure to cloud-based applications and deployment workflows.
Proficient in SQL and NoSQL databases , including document and graph-based systems.
Comfortable working in Linux environments and using Git for version control.
Demonstrates autonomy , curiosity , and rigor in problem-solving and development.
Mission:
You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
You design and fully develop solutions that can implement AI technologies.
You contribute to technology watch
The Job description:
The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.
About role:
The use cases for data science are varied and lead to concrete implementations. Here are some examples:
Score the risk of corporate failure in every country
Extract information from images, documents and web scrapping
Build knowledge graphs from corporates linkages
Specialize search engine and language models in identifying companies
Generate visual and textual explanations for AI model predictions
Key Qualifications & Experience:
Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
Experience of Docker/Kubernetes deployment and cloud applications desirable
Use of Linux and Git
Practice of SQL and experience with NoSQL databases (document, graph)
Autonomy, curiosity, rigor
What can we offer you?
Flexible working model: up to 3days of home office per week after the 1st month
Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field
Diversity, Equity & Inclusion :
Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.
As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.
Data Science
Posted today
Job Viewed
Job Description
About the company:
Making Trade Happen
Coface ( ) is a leading global player in credit insurance and risk management helping companies to secure their trade activities worldwide. Coface is also a recognized expert in corporate information, bonding, political risk, debt collection and factoring.
Coface is a team of 4,500 people of 78 nationalities across nearly 60 countries, all sharing a corporate culture across the world. Together, we work towards one objective: facilitating trade by helping our 50,000 corporate clients develop their businesses.
With 75 years of experience, Coface is a leader in the credit insurance and risk management market. We have also developed a range of other value-added services, including factoring, debt collection, Single Risk insurance, bonding, and information services.
As a close-knit, international organization at the core of the global economy, Coface offers an enriching work experience on several levels: relational, professional, and cultural.
Every day, our teams are making trade happen. Join us!
Ideal Candidate Profile:
- Must have a background in Computer Science
- Hands-on experience in Machine Learning and Natural Language Processing (NLP)
- Strong Python development skills , with a focus on writing high-quality, maintainable code.
- Familiar with code reviews and continuous integration (CI) best practices.
- Experience with Docker and Kubernetes for containerization and orchestration.
- Exposure to cloud-based applications and deployment workflows.
- Proficient in SQL and NoSQL databases , including document and graph-based systems.
- Comfortable working in Linux environments and using Git for version control.
- Demonstrates autonomy , curiosity , and rigor in problem-solving and development.
Mission:
- You join Coface's Data Lab team and work mostly in pairs or in small teams on innovative projects.
- You design and fully develop solutions that can implement AI technologies.
- You contribute to technology watch
The Job description:
- The Data Lab brings together Data Science and Software engineering skills to develop and deploy solutions that improve the company's processes, products and services.
- The team seeks to make use of AI and data science techniques and to implement development best practices to deploy applications and APIs on Docker/Kubernetes infrastructures, in Apache Airflow and in the Cloud.
- Sharing knowledge through presentations between team members, training and technology watch on dedicated time are all part of the Data Lab's culture.
About role:
The use cases for data science are varied and lead to concrete implementations. Here are some examples:
- Score the risk of corporate failure in every country
- Extract information from images, documents and web scrapping
- Build knowledge graphs from corporates linkages
- Specialize search engine and language models in identifying companies
- Generate visual and textual explanations for AI model predictions
Key Qualifications & Experience:
- Bachelor’s or master’s degree in computer science ,academic background in Data Science: supervised and unsupervised machine learning, natural language processing…
- Min 2 to 5 years' experience in Python application development with high quality standards and implementation of code reviews and continuous integration best practices.
- Experience of Docker/Kubernetes deployment and cloud applications desirable
- Use of Linux and Git
- Practice of SQL and experience with NoSQL databases (document, graph)
- Autonomy, curiosity, rigor
What can we offer you?
- Flexible working model: up to 3days of home office per week after the 1st month
- Opportunities to learn: 450Euro budget every year for training, languages platform, e-learning platform, dedicated development program…
- Career opportunities: Opportunity to build your career (both locally and internationally) in a large global company, one of the world leaders in its field
Diversity, Equity & Inclusion :
Coface aims to be a leader in Diversity, Equity, and Inclusion within the Trade Credit-Insurance industry. We are committed to creating an environment where every employee can thrive, fostering a culture of belonging and fairness. By attracting top talent from diverse backgrounds, we strive to be a model for an inclusive employee experience.
As an equal opportunity employer, Coface welcomes all qualified applicants without regard to gender, race, ethnicity, sexual orientation, age, beliefs, disability, or any other legally protected characteristics.
Data Science
Posted today
Job Viewed
Job Description
Dear Connection!
find the below mention JD for the skill
Job Description
1Role - Senior Product Engineer (Designer)
2Required Technical Skill Set - Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP
3Desired Experience Range - 8-10 Years Hands On Experience in Data Science AI/ML , Java, Python, Generative AI, Computer vision, NLP
4Location of Requirement - India - Bhubaneswar
Competencies Required (Technical/Behavioral Competency)
Essentials
- Data Science AI/ML ,
- Java
- Python
- Generative AI
- Computer vision
- NLP
Desirable
- Exposure to Product Development
Sl. No.
Responsibility of / Expectations from the Role
1 Design, and deploy large-scale AI/ML models(Classification, Regression and Time Series models), Simulation, Optimization and Generative AI related solutions
2 Design Generative AI, LLMs, and deep learning technologies
Type
Details of The Role (For Candidate Briefing)
Reporting To Which Role
Product Engineering Lead
Size of the Team, if any Reporting to this Role
5
On-site Opportunity
N/A
Career Path & Unique Selling Proposition (USP) of The Role
- Develop as a Product Architect
- Hands On exposure to global customers in next generational digital transformation
- Work with a global team of industry experts and thought leaders
Details of The Project (A short Briefing on the Project may be attached with this document for candidate- briefing). It may be shared with external stakeholders like job-agencies etc.
The Digital Software and Solutions Group in TCS is partnering with customers in leading Digital Transformation initiatives across the domains of Customer Intelligence, Digital Commerce and Intelligent Infrastructure (IoT) . The group is focused on bringing industry focused pre-integrated software that brings together the disruptive technologies of Big Data Analytics, Mobility, Social and Cloud in order to accelerate Digital Transformation Initiatives in order to increase organizational efficiencies and more importantly how companies will be engaging with their customers.
This role is for Product Engineering team within the DS&S unit.