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Genpact

AI/ML Engineer

On site

Dallas, United states

Full Time

31-10-2025

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Skills

Python Tableau SQL Data Visualization Data Engineering Training Machine Learning PyTorch Scikit-Learn TensorFlow Google Cloud Platform Analytics GCP OpenAI Langchain Full-Stack Development Microservices

Job Specifications

Ready to build the future with AI?

At Genpact, we don’t just keep up with technology—we set the pace. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, innovation-driven environment, love building and deploying cutting-edge AI solutions, and want to push the boundaries of what’s possible, this is your moment.

Genpact (NYSE: G) is an advanced technology services and solutions company that delivers lasting value for leading enterprises globally. Through our deep business knowledge, operational excellence, and cutting-edge solutions – we help companies across industries get ahead and stay ahead. Powered by curiosity, courage, and innovation, our teams implement data, technology, and AI to create tomorrow, today. Get to know us at genpact.com and on LinkedIn, X, YouTube, and Facebook.

Title: AI/ML Engineer

Location: Dallas, TX - Onsite.

Full Time.

Job Summary:

We are looking for a versatile and experienced Machine Learning Engineer to support our data engineering and analytics initiatives on Google Cloud Platform (GCP). The ideal candidate will bring expertise in unsupervised machine learning, experimentation, generative AI, and data visualization, and will help build scalable solutions that uncover insights and drive business decisions.

While experience with unsupervised learning (e.g., clustering, anomaly detection, dimensionality reduction) is highly preferred, we welcome candidates with a broader ML background who are passionate about solving complex data problems and visualizing results effectively.

Key Responsibilities:

Design and implement unsupervised ML models to extract insights from structured and unstructured data
Develop generative AI solutions for data augmentation, summarization, and visual storytelling
Create interactive and compelling visualizations using traditional and GenAI tools
Collaborate with full-stack development and platform engineering teams to integrate ML models into production systems
Build scalable ML pipelines using GCP-native services such as BigQuery, Vertex AI, Dataflow, and Cloud Functions
Ensure model performance, reliability, and maintainability through iterative experimentation and optimization
Document methodologies and present findings to both technical and non-technical stakeholders

Required Qualifications:

Strong experience with unsupervised machine learning techniques and algorithms
Hands-on experience with GCP services including BigQuery, Vertex AI, Cloud Storage, and Dataflow
Experience collaborating with full-stack teams to integrate ML solutions via APIs or microservices
Proficiency in Python (including libraries like scikit-learn, TensorFlow, PyTorch) and SQL
Experience with data visualization tools (e.g., Looker Studio, Plotly, Tableau) and GenAI platforms
Solid understanding of statistics, feature engineering, and data preprocessing
Ability to communicate complex findings through visual storytelling and presentations
Familiarity with MLOps practices and model deployment in cloud environments

Preferred Qualifications:

Knowledge of self-supervised learning or graph-based ML approaches
Experience using GenAI frameworks and platforms such as:
Vertex AI GenAI Studio for prompt engineering and model tuning
OpenAI API for text generation, summarization, and embeddings
Hugging Face Transformers for custom model deployment and fine-tuning
LangChain, LlamaIndex, or similar frameworks for GenAI-powered applications
RunwayML, Stability AI, or DALL·E for generative visualizations
Prior experience in a consulting or contractor role
GCP certification (e.g., Professional Machine Learning Engineer or Data Engineer)

Why join Genpact?

Lead AI-first transformation – Build and scale AI solutions that redefine industries

Make an impact – Drive change for global enterprises and solve business challenges that matter

Accelerate your career—Gain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills

Grow with the best – Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace

Committed to ethical AI – Work in an environment where governance, transparency, and security are at the core of everything we build

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.

Let’s build tomorrow together.

Genpact is an Equal Opportunity Employer and considers applicants for all positions

About the Company

Genpact (NYSE: G) is a global professional services and solutions firm delivering outcomes that shape the future. Our 125,000+ people across 30+ countries are driven by our innate curiosity, entrepreneurial agility, and desire to create lasting value for clients. Powered by our purpose – the relentless pursuit of a world that works better for people – we serve and transform leading enterprises, including the Fortune Global 500, with our deep business and industry knowledge, digital operations services, and expertise in data,... Know more