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Sprinklr
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Director of Machine Learning

Director of Machine Learning

Sprinklr

8 years

0 Lacs

Gurugram Haryana India

Posted:3 weeks ago| Platform:

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Skills Required

learning technology ai service marketing software research ml strategy drive auto evaluation taxonomy discovery reinforcement support engineering experimentation dataset leadership cuda docker pytorch communication

Work Mode

On-site

Job Type

Full Time

Job Description

Sprinklr was founded in 2009 to solve a big problem: enterprise-size complexity dividing brands from the customers they serve. The idea was to unify silos, technology, and teams across large, complex companies. What started in social expanded into a single AI platform to reach, engage, and listen to customers on more than 30 digital channels.

Today, Sprinklr has an AI-based platform for four product suites: Sprinklr Service, Sprinklr Social, Sprinklr Marketing and Sprinklr Insights. And as customer-facing teams, markets, and geographies work together, brands benefit from a unified digital edge. At Sprinklr, the culture is built around pushing the limits of possibility. Social media today has changed the world, with each of us playing a role in the future. The Company strives to delight customers by going above and beyond as a trusted social guide and helping reimagine enterprise software for the better, with a core belief in the Sprinklr Way.

Job Title:

Location:

Responsibilities:

Set Research Direction:
Define and execute a forward-looking ML research agenda aligned with company strategy and business objectives and technological innovation.
Drive Key Research in relevant areas of Sprinklr:
Self-learning AI Agents, Auto Evaluation of AI Agents, Taxonomy discovery and quality, End-to-end voice models, Multi-linguality, Multi-modality, Domain-Specific finetuning and alignment, etc.
Advance the State of the Art:
Guide research initiatives in areas such as deep learning, generative models, NLP, and reinforcement learning. Encourage and support filing patents and publications in top-tier venues (NeurIPS, ICML, ACL, CVPR, IEEE etc.).
Bridge Research and Product:
Collaborate with engineering and product teams to transition research into real-world applications. Champion best practices in experimentation, reproducibility, and scalability.
Lead and Grow the Team:
Mentor and manage a high-performing team of ML researchers and engineers. Foster a culture of curiosity, rigor, and excellence.
Act as a Thought Leader:
Stay ahead of emerging trends and shape the company's position in the global AI landscape.
Evangelism
: Serve as a subject matter expert internally and externally. Represent the company in academic and industry events, talks, and panels.

Qualifications:

Deep expertise in modern ML techniques, especially large-scale learning, generative models, or foundational models. Experienced with synthetic dataset generation for production and quantization.
PhD in Computer Science, Machine Learning, or a related field.
8+ years of experience in ML/AI, including 4+ years in a leadership role.
Proven track record of impactful research contributions, including publications, patents, or open-source work.
Strong knowledge of cloud platform technologies and MLops tools such as CUDA, K8s, Docker, PyTorch, TensorRT, etc.
Strong leadership and communication skills, with experience managing senior researchers and cross-functional collaboration.
Ability to align research investments with business strategy and measurable outcomes.

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Sprinklr

Software Development

New York NY

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Director of Machine Learning