Manager, AI Operations

Job Description Summary

Oversee and provide consultation on all the technical aspects for all the projects. This includes but not limited to implementation of best and sustainable engineering practices and maintenance of assets. Must be a fluent conversant in identifying customer requirement gathering. Must be able to identify and mitigate risk. Well adept with prominent technology trends. Must be able to represent the company to the external facing avenues. Advise the team with potential data sources. Must be able to manage/negotiate/oversee vendor works. Must be able to ensure quality of the delivery. Must be able to research market trends in product and technologies and propose innovative solutions to business problems.

 

Job Description

Location – Hyderabad #LI Hybrid

About the role:

Oversee and provide consultation on all the technical aspects for all the projects. This includes but not limited to implementation of best and sustainable engineering practices and maintenance of assets.

Key Responsibilities:

Must be a fluent conversant in identifying customer requirement gathering. Must be able to identify and mitigate risk. Well adept with prominent technology trends. Must be able to represent the company to the external facing avenues. Advise the team with potential data sources. Must be able to manage/negotiate/oversee vendor works. Must be able to ensure quality of the delivery. Must be able to research market trends in product and technologies and propose innovative solutions to business problems.

 

Essential Requirements:

With overall experience of 5+ years, he/she must be well adept with programming technologies such as Python/R, TensorFlow/PyTorch, SQL, PySpark, Deep Learning and AI practices, Tansformers and LLMs.

 

Must have hands-on experience in cloud platforms such as AWS (Databricks/Dataiku), S3, SageMaker etc.   

 

Must have proven experience in solution deployment by packaging trained AI models as services using Azure deployment services, Kubernetes, and GitHub for version control.

 

Should have in depth understanding of Azure AI services such as Azure Machine Learning and Cognitive Services along with other AI technologies , natural language processing (NLP), computer vision and GPT models

 

Should have strong expertise in articulating and documenting solution architecture for AI projects by collaborating with solution architect and enterprise architects.

 

Must have abilities to collaborate with business leaders to understand their pain points and identify key areas where AI solutions can drive significant business benefit.

 

Must have strong analytical and problem-solving skills, with the ability to translate business requirements into effective AI solutions.

 

Must have excellent communication skills, with the ability to convey complex AI technical concepts to non-technical stakeholders.

Why Novartis:  Our purpose is to reimagine medicine to improve and extend people’s lives and our vision is to become the most valued and trusted medicines company in the world. How can we achieve this? With our people. It is our associates that drive us each day to reach our ambitions. Be a part of this mission and join us! Learn more here: https://www.novartis.com/about/strategy/people-and-culture

You’ll receive: You can find everything you need to know about our benefits and rewards in the Novartis Life Handbook. https://www.novartis.com/careers/benefits-rewards

Join our Novartis Network: If this role is not suitable to your experience or career goals but you wish to stay connected to hear more about Novartis and our career opportunities, join the Novartis Network here: https://talentnetwork.novartis.com/network.

Novartis is committed to building an outstanding, inclusive work environment and diverse teams’ representative of the patients and communities we serve.

 

Skills Desired

Agility, Analytical Thinking, Brand Awareness, Building Construction, Business Analytics, Cross-Functional Collaboration, Digital Marketing, Marketing Strategy, Media Campaigns, Sales, Stakeholder Engagement, Stakeholder Management, Strategic Marketing, Waterfall Project Management