Engineering Lead

4 weeks ago


PuneBangalore, India TD Newton & Associates Full time

Role : Engineering Lead - Generative AI

Job Location : Pune\Bangalore

Exp : 8+ years

Primary Skills : Golang, Python and Kubernetes

Generative AI is a relatively new and growing space, as a result, we ask that you share with us a specific AI engineering projects on LLMs that you're proud of in your application. Ideally these projects should show off complex and clever architectures or a systematic evaluation of an LLM's behaviour.

You might be a good fit if you :

- Bring your deep-dive software engineering expertise


- Thrive in a results-driven environment, where flexibility fuels impact


- Be a game-changer, ready to step beyond your designated role


- Love the synergy of pair programming? So do we


- Seize the opportunity to explore machine learning and its real-world applications at scale. Jump in



- A relentless passion to learn more about machine learning and generative AI, bringing your knowledge to shape Citi's future.



What you'll do within the Tech Strategy team:


- Lead the 0-1 build of multiple AI products


- Design and build high-quality, highly reliable products with user experience at the centre


- Be responsible for engineering innovative, best in class AI platforms for the bank


- Creating firsts in the Generative AI space for part of the team that defines the strategic direction for the bank


- Continually iterate and scale Generative AI products, whilst listening to the needs of the customers (internal)


Experience That Will Help You Succeed in This Role :


- Deep hands-on knowledge of Kubernetes, developing backend platforms and engineering APIs that scale


- 9+ Years


- Fluency in at least two programming language, with preference for Python and Golang, Pytorch, TensorFlow experience


- Extensive public cloud experience and should have delivered hybrid architectures spanning

private and public cloud/s


- Strong experience in Kubernetes ecosystem, K8, helm, multistage docker


- Good, applied understanding of DevSecOps


(ref:hirist.tech)
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