AI/ML Architect

NewRocket; United States; Remote; USD 150,000 - 210,000; Full time

Job summary

NewRocket seeks an AI/ML Architect to join our India team, building scalable AI apps and maintaining ML models across a global client. You will design, train, deploy, and optimize models using Python, ML frameworks, and cloud services.

Expect collaboration with data engineers and product teams to deliver high-value AI solutions. The role emphasizes NLP, large language models, and AGI-ready architectures, with hands-on experience in Spark, Snowflake, and BI tools.

Qualifications

• 7+ years of experience applying AI to practical uses.
• Strong coding in Python & SQL with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Deep knowledge of algorithms, OOP, and functional design principles.
• Proficiency with Pandas, NumPy, Matplotlib, Seaborn.
• Hands-on with cloud platforms (AWS, Azure, Google Cloud) and big data tools.
• NLP expertise with Hugging Face and cloud AI services.
• Database management, query optimization, and data warehousing.
• Data visualization with Tableau and Power BI.

Responsibilities

• Develop, train, and deploy ML models for predictive analytics and NLP.
• Implement AI solutions using TensorFlow, PyTorch, and Scikit-learn.
• Work with AWS, Azure, and Google Cloud platforms and services.
• Fine-tune Hugging Face transformer models for NLP tasks.
• Develop AI automation including chatbots for collaboration tools.
• Leverage Apache Spark and Snowflake for large-scale data processing.
• Design ETL pipelines ensuring data quality and transformation.
• Create database schemas and optimize queries in SQL databases.
• Build interactive data visualizations with Tableau and Power BI.
• Develop and deploy LLM-based conversational AI and agents.

Skills

Python

SQL

Analytical thinking

Problem solving

Collaborative work

Education

Bachelor’s degree in Computer Science, Data Science, AI/ML, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

AWS SageMaker

Azure

Google Cloud Vertex AI

Hugging Face

Spark

Snowflake

Tableau

Power BI

BERT / GPT transformers

Job description

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.

What You Bring Along

• 7+ years of experience applying AI to practical uses.
• Strong coding expertise in Python & SQL, with ML frameworks (TensorFlow, PyTorch, Scikit-learn).
• Deep knowledge of algorithms, OOP, and functional design principles.
• Proficiency with Pandas, NumPy, Matplotlib, and Seaborn.
• Hands-on experience with cloud platforms such as AWS, Azure, and Google Cloud.
• Experience with big data processing using Apache Spark and Snowflake.
• NLP expertise with Hugging Face and cloud AI services
• Strong understanding of database management, query optimization, and data warehousing.
• Experience with data visualization tools such as Tableau and Power BI.
• Ability to work in a collaborative environment and adapt to new AI technologies.
• Strong analytical and problem solving skills.

Education:

• Bachelor’s degree in Computer Science, Data Science, AI/ML, or a related field.

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 [e-mail].