Job Description
**Job Summary**
We are seeking a skilled Developer with 4 to 7 years of experience in AI and ML technologies to join our dynamic team. The ideal candidate will have expertise in Azure ML Studio ML Ops Docker and Terraform. This role involves developing and deploying machine learning models ensuring seamless integration with existing systems and contributing to innovative AI solutions. The position is hybrid with no travel required and operates during day shifts.
**Responsibilities**
+ Develop and deploy machine learning models using Azure ML Studio to enhance business processes and decision-making.
+ Collaborate with cross-functional teams to integrate AI solutions into existing systems ensuring seamless functionality.
+ Implement ML Ops practices to streamline the machine learning lifecycle from model development to deployment and monitoring.
+ Utilize Docker for containerization to ensure consistent and efficient deployment of machine learning applications.
+ Apply AI and ML concepts to solve complex business challenges driving innovation and efficiency.
+ Leverage Terraform for infrastructure as code ensuring scalable and reliable deployment environments.
+ Use GIT for version control maintaining code integrity and facilitating collaboration among team members.
+ Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
+ Provide technical support and troubleshooting for deployed models ensuring optimal performance.
+ Stay updated with the latest advancements in AI and ML technologies incorporating new techniques and tools as appropriate.
+ Document processes models and code to ensure transparency and knowledge sharing within the team.
+ Collaborate with stakeholders to understand business needs and translate them into technical requirements.
+ Contribute to the companys purpose by developing AI solutions that have a positive impact on society.
**Qualifications**
+ Possess strong experience in Azure ML Studio and ML Ops demonstrating the ability to develop and deploy machine learning models effectively.
+ Have a solid understanding of Docker for containerization ensuring efficient and consistent application deployment.
+ Demonstrate expertise in AI and ML concepts with a proven track record of applying these to solve business challenges.
+ Experience with Terraform for infrastructure management ensuring scalable and reliable deployment environments.
+ Proficient in using GIT for version control maintaining code integrity and facilitating team collaboration.
+ Strong problem-solving skills with the ability to troubleshoot and optimize machine learning models.
+ Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
**Certifications Required**
Azure AI Engineer Associate Docker Certified Associate
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
We are seeking a skilled Developer with 4 to 7 years of experience in AI and ML technologies to join our dynamic team. The ideal candidate will have expertise in Azure ML Studio ML Ops Docker and Terraform. This role involves developing and deploying machine learning models ensuring seamless integration with existing systems and contributing to innovative AI solutions. The position is hybrid with no travel required and operates during day shifts.
**Responsibilities**
+ Develop and deploy machine learning models using Azure ML Studio to enhance business processes and decision-making.
+ Collaborate with cross-functional teams to integrate AI solutions into existing systems ensuring seamless functionality.
+ Implement ML Ops practices to streamline the machine learning lifecycle from model development to deployment and monitoring.
+ Utilize Docker for containerization to ensure consistent and efficient deployment of machine learning applications.
+ Apply AI and ML concepts to solve complex business challenges driving innovation and efficiency.
+ Leverage Terraform for infrastructure as code ensuring scalable and reliable deployment environments.
+ Use GIT for version control maintaining code integrity and facilitating collaboration among team members.
+ Conduct thorough testing and validation of machine learning models to ensure accuracy and reliability.
+ Provide technical support and troubleshooting for deployed models ensuring optimal performance.
+ Stay updated with the latest advancements in AI and ML technologies incorporating new techniques and tools as appropriate.
+ Document processes models and code to ensure transparency and knowledge sharing within the team.
+ Collaborate with stakeholders to understand business needs and translate them into technical requirements.
+ Contribute to the companys purpose by developing AI solutions that have a positive impact on society.
**Qualifications**
+ Possess strong experience in Azure ML Studio and ML Ops demonstrating the ability to develop and deploy machine learning models effectively.
+ Have a solid understanding of Docker for containerization ensuring efficient and consistent application deployment.
+ Demonstrate expertise in AI and ML concepts with a proven track record of applying these to solve business challenges.
+ Experience with Terraform for infrastructure management ensuring scalable and reliable deployment environments.
+ Proficient in using GIT for version control maintaining code integrity and facilitating team collaboration.
+ Strong problem-solving skills with the ability to troubleshoot and optimize machine learning models.
+ Excellent communication skills with the ability to collaborate effectively with cross-functional teams.
**Certifications Required**
Azure AI Engineer Associate Docker Certified Associate
Cognizant is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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