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The role
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.
Come join our Crew!
We are hiring AI/ML Lead Engineer 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 do
- 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-
- 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
- Utilize SQL, MySQL, PostgreSQL, and MongoDB for database management and query
- Create interactive data visualizations using Tableau and Power BI to drive business
- 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.
What you need
What You Bring Along
- 5+ years of experience applying AI to practical
- Strong programming skills in Python, SQL, and experience with ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of basic algorithms and object-oriented and functional design principles
- Proficiency in using data analytics libraries like Pandas, NumPy, Matplotlib, and
- Hands-on experience with cloud platforms such as AWS, Azure, and Google
- Experience with big data processing using Apache Spark and
- Knowledge of NLP and AI model implementations using Hugging Face and cloud-based AI
- Strong understanding of database management, query optimization, and data
- Experience with data visualization tools such as Tableau and Power
- Ability to work in a collaborative environment and adapt to new AI
- Strong analytical and problem solving skills.
Education
- Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related
Legal notes
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.
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Source: the NewRocket Greenhouse job board. We last checked this job 4 h ago. We first saw it 5 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.