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SPRINKLR

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3.0

based on 323 Reviews

Video summary

1 SPRINKLR Lead Product Engineer Job

Lead Product Engineer - Machine Learning

Sprinklr Solutions Pvt Ltd

3.0

based on 323 Reviews

4-8 years

Gurgaon / Gurugram

1 vacancy

Lead Product Engineer - Machine Learning

SPRINKLR

posted 3mon ago

Job Role Insights

Flexible timing

Key skills for the job

SCM Architecture Machine Learning Product Management Microsoft Power BI Publishing

+ 1 more

Job Description

In your role as a Lead Product Engineer with us, you will be tasked with creating and delivering novel machine learning solutions for next generation of digital customer experience applications .

What will you do :

Work in a collaboration of machine learning engineers and data scientists.
Work on various disciplines of machine learning including but not limited to variety of disciplines including deep learning, reinforcement learning, computer vision, language, speech processing etc.
Work closely with product management and design to define project scope , priorities and timelines
Work closely with machine learning leadership team to define and implement the technology and architectural strategy
Take partial ownership of project technical roadmap , which includes deciding, planning, publishing schedules, milestones, technical solution engineering, risks/mitigations, course corrections, trade-outs, delivery
Deliver and maintain high-quality scalable system s in a t imely and cost-effective manner
Recognizing potential use-cases of cutting edge research in Sprinklr products and implementing your own solutions for the same.
Stay updated on industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into the teams workflow.

What makes you qualified:

Degree in Computer Science or related quantitative field of relevant experience from Tier 1 colleges .
At least 3 year s of Deep L earning E xperience with a distinguished track recor d on technically fast paced projects .
Familiarity with cloud deployment technologies, such as Kubernetes or Docker containers
E xperience with large language models (GPT-3, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch).
Working experience of software engineering best practices including coding standards, code reviews, SCM, CI, build processes, testing, and operations
Experience in communicating with users, other technical teams, and product management to understand requirements, describe software product features, and technical designs

Nice to Have:

Experience in directly managing a team of high calibre machine learning engineers and data scientists
Experience with Multi-Modal ML including Gen erative AI .
Interested in and thoughtful about the impacts of AI technology
A real passion for AI