Job Location: Chennai
Title: AI/ML Ops Engineer || Allegis- TEKsystems
content:
Immediate openings for AI/ML Ops Engineer @ TEKsystems Chennai!!!!
Employer: ALLEGIS-TEKsystems
Position Title: AI/ML Ops Engineer
Experience: 4+ years
Work Location: Chennai (currently wfh)
Notice Period expected: Immediate to 30 days
Hi All,
Greetings from TEKsystems!!
WE ARE HIRING AI/ML OPS ENGINEER FOR ONE OF OUR PRODUCT BASED CLIENTS.
Role:
We are looking for a AI/ML Ops Engineer to join our new AI Ops platform team in R&D IT. The ideal candidate will have industry relevant experience working with the Kubeflow Machine Learning Platform. Where they devised and deployed large-scale production machine learning infrastructure and platforms for scientific use cases (We will acknowledge expertise with other Machine Learning Platforms and industries). The position will involve taking these skills and applying them to some of the most exciting data & prediction problems in drug discovery.
The successful candidate will be part of a new, collaborative team of multidisciplinary engineers and together have the chance to create tools that will advance the standard of healthcare, improving the lives of millions of patients across the globe. Our data science environments will support major AI initiatives such as clinical trial data analysis, knowledge graphs, patient safety systems, deep learning led drug discovery, software as a medical device, for our therapy areas. You will also have responsibility to help provide the frameworks for data scientists to develop scalable machine learning and predictive models with our growing data science community, in a safe and robust manner.
As a strong software developer with an interest in building complex systems, you will be responsible for inventing how we use technology, machine learning, and data to enable the productivity of AstraZeneca. You will help envision, build, deploy and develop our next generation of data engines and tools at scale. You will be bridging the gap between science and engineering and functioning with deep expertise in both worlds.
Key Accountabilities
• Liaise with R&D data scientists to understand their challenges and work with them to help productionise pipelines, models and algorithms for innovative science.
• Be part of a scrum team to build and operationalise our data science environments, platforms and tooling.
• Deployment of systems, applications and tooling for data science on cloud environments.
• Understand the necessary compliance guardrails required for different use cases and data sensitivities.
• Adapt standard machine learning methods to best exploit modern compute and storage environments (e.g. distributed clusters, EFS and GPU).
• Provide the necessary infrastructure and platforms to support the deployment and monitoring of ML solutions in production. Optimizing solutions for performance and scalability.
• Liaise with the Data Engineering team to ensure that the platform and the solutions deployment therein benefit from an optimised and scalable data flow between source systems and analytical models
• Liaise with other teams to enhance our technological stack, to enable the adoption of the latest advances in Data Processing and AI
• Facilitate and aid in the implementation of Data sources and bespoke repeatable pipelines
• Work with domain experts within a scientific field to understand and lead data engineering implementations
Interested Candidates can send their profiles along with:
First & Last Name:
Overall Experience:
Current Company:
Reason for change:
Notice Period:
CTC:
ECTC:
Reach me at
krtherppagan@teksystems.com
Regards
Krishnapriya T
Talent Acquisition – Allegis-TEKsystems
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