Data Science ML/GenAI Engineer (FRE/ ENG)
Develops and productionizes machine learning and GenAI solutions, improving data pipelines and existing code while collaborating across data and application teams to deliver reliable, scalable capabilities.
Why Us
NewRocket is the AI-first Elite ServiceNow Partner that activates real value on the Now Platform. As a trusted advisor to enterprise leaders, we combine industry expertise, human-centered design, and enterprise-grade AI to help organizations navigate change and scale with confidence.With two decades of experience guiding clients to realize the full potential of the ServiceNow AI Platform, we are one of the largest pure-play ServiceNow partners, uniquely focused on enabling enterprises to adopt AI they trust—AI that delivers lasting business value.
We #GoBeyondWorkffows to create new kinds of experiences for our customers.
The Role
We are hiring an AI/ML Developer to join our India team, in support of a large global client! You will be responsible for developing, deploying, and maintaining AI and machine learning models. Your expertise in Python, cloud services, databases, and big data technologies will be instrumental in creating scalable and efficient AI applications.
What You Will Be Doing
Education
We Take Care of Our People
NewRocket is committed to a diverse and inclusive workplace. We value and celebrate diversity, believing that every employee matters and should be respected and heard. We are proud to be an equal opportunity workplace and affirmative action employer, committed to providing employment opportunity regardless of sex, race, creed, color, gender, religion, marital status, domestic partner status, age, national origin, or ancestry, physical or mental disability, medical condition, sexual orientation, pregnancy, citizenship, military, or Veteran status. For individuals with disabilities who would like to request an accommodation, please contact hr.in@newrocket.com.
Develops and productionizes machine learning and GenAI solutions, improving data pipelines and existing code while collaborating across data and application teams to deliver reliable, scalable capabilities.
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Develop foundation-model architectures, training methods, and scalable data systems for general-purpose robots, translating multimodal machine learning research into robust policies and measurable real-world performance.
Build and deploy production-grade machine learning systems for client challenges, shaping scalable software architecture and deployment standards while advising stakeholders and collaborating across technical and commercial teams.