AI/ML Architect

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 #GoBeyondWorkflows to create new kinds of experiences for our customers.

Come join our Crew!

The Role

We are hiring an AI/ML Architect 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.

We are #GoingBeyond Come join our crew!

What You Will Be Doing

• Develop, train, and deploy machine learning models for predictive analytics, classification, and clustering.
• Implement AI-based solutions using frameworks such as TensorFlow, PyTorch, and Scikit-learn.
• Work with cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI).
• Integrate and fine-tune Hugging Face transformer models (e.g., BERT, GPT) for NLP tasks such as text classification, summarization, and sentiment analysis.
• Develop AI automation solutions, including chatbot implementations using Microsoft Teams and Azure AI.
• Work with big data technologies such as Apache Spark and Snowflake for large-scale data processing and analytics.
• Design and optimize ETL pipelines for data quality management, transformation, and validation.
• Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query optimization.
• Create interactive data visualizations using Tableau and Power BI to drive business insights.
• Work with Large Language Models (LLMs) for AI-driven applications, including fine-tuning, training, and deploying model for conversational AI, text generation, and summarization.
• Develop and implement Agentic AI systems, enabling autonomous decision-making AI agents that can adapt, learn, and optimize tasks in real-time.

May perform additional duties as assigned.