AI Engineering Lead
1 month ago
About Sprinklr
Sprinklr is a unified platform that enables organizations to deliver exceptional customer experiences across all touchpoints. Our unified customer experience management (Unified-CXM) approach helps companies create human connections with their customers at scale.
What We Offer
- A collaborative environment where you'll work alongside machine learning engineers and data scientists to drive innovation.
- The opportunity to work on various aspects of machine learning, including deep learning, computer vision, language processing, and more.
- Closely collaborate with product management and design teams to define project scope, priorities, and timelines.
- Contribute to the development of our technology and architectural strategy in partnership with our machine learning leadership team.
- Take ownership of project technical roadmaps, deciding on solutions, planning, and executing projects efficiently.
- Design and maintain high-quality, scalable systems that meet business needs and deliver results promptly.
- Identify potential use cases for cutting-edge research and implement innovative solutions within our products.
- Stay up-to-date with industry trends, emerging technologies, and advancements in data science, incorporating relevant innovations into our workflow.
Your Qualifications
- A degree in Computer Science or a related quantitative field from a reputable institution.
- At least 2 years of experience in deep learning, with a proven track record of working on fast-paced projects.
- Familiarity with cloud deployment technologies such as Kubernetes or Docker containers.
- Experience with large language models (GPT-3, Pathways, Google Bert, Transformer) and deep learning tools (TensorFlow, Torch).
- Working knowledge of software engineering best practices, including coding standards, code reviews, SCM, CI, build processes, testing, and operations.
- Effective communication skills to understand requirements, describe software features, and technical designs to users, other technical teams, and product management.
Nice to Have
- Experience in managing a team of high-calibre machine learning engineers and data scientists.
- Knowledge of Multi-Modal ML, including Generative AI.
- Interest in and thoughtfulness about the impacts of AI technology.
- A genuine passion for AI.
Benefits
We offer a comprehensive compensation package, including a competitive salary of $175,000 per year, plus a range of benefits tailored to your needs, including:
- Comprehensive health insurance plans for you and your family.
- Leading well-being programs to support your physical and mental health.
- Financial protection through global and localized financial plans.
Our Mission
We're committed to enabling every organization to make their customers happier. Our vision is to be the world's most loved enterprise software company.
Investing in Our People
We believe every individual has the potential to be amazing. We empower each team member to achieve their personal and professional best through daily meditation breaks, virtual fitness classes, access to Headspace, and continuous learning opportunities with LinkedIn Learning and more.
EEO - A Philosophy
We strive to create an inclusive environment where every employee feels valued, respected, and heard. We celebrate diversity and believe it makes us stronger, more innovative, and successful as a collective.
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