Senior Machine Learning Engineer

While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.


If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi!

About Us:
Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.

Company Highlights:
Quantiphi has seen 2.5x growth YoY since its inception in 2013, we don’t just innovate—we lead. Headquartered in Boston, with 4000+ Quantiphi professionals across the globe. As an Elite/Premier Partner for Google Cloud, AWS, NVIDIA, Snowflake, and others, we’ve been recognized with:
● 17x Google Cloud Partner of the Year awards in the last 8 years
● 3x AWS AI/ML award wins
● 3x NVIDIA Partner of the Year titles
● 2x Snowflake Partner of the Year awards
● We have also garnered Top analyst recognitions from Gartner, ISG, and Everest Group.
● We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators.
● We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023.

Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud inn vation. Your next big opportunity starts here!

Role: Machine Learning Engineer
Experience Level: 8+ Years
Work Location: USA - Remote

Roles and Responsibilities:
● Design, develop, and deploy scalable enterprise software solutions using Python.
● Provision and manage cloud resources using Infrastructure as Code (preferably Terraform).
● Collaborate with cross-functional teams across diverse and complex projects.
● Build, optimize, and maintain data-driven software platforms to support business objectives.
● Leverage Google Cloud Platform (GCP) for development and deployment of machine learning and AI solutions.
● Integrate and utilize GCP Vertex AI for advanced model training, deployment, and monitoring (preferred).
● Apply generative AI techniques and Agentic workflows to deliver measurable business value.
● Contribute to the architecture and development of intelligent and autonomous systems.
● Ensure software quality, scalability, and performance through testing and continuous integration.

Required Skills and Qualifications:
● Experience: 8+ years of enterprise software development, with proven expertise in Python.
● Cloud & IaC: 3+ years of experience provisioning cloud resources using Infrastructure as Code (Terraform preferred).
● Cloud Platform: Hands-on experience working with Google Cloud Platform (GCP).
● Machine Learning Expertise:
○ Master’s or Ph.D. in Computer Science, Machine Learning, or a related field.
○ Strong foundation in ML algorithms and techniques, including deep learning, reinforcement learning, and NLP.
○ Proficiency with ML frameworks such as TensorFlow, PyTorch, and scikit learn.
● Bonus Experience:
○ Experience with GCP Vertex AI.
○ Experience building and scaling software platforms.
○ Experience implementing genAI and Agentic workflows.
● Soft Skills:
○ Excellent problem-solving and analytical abilities.
○ Strong communication and collaboration skills.
○ Passion for building intelligent, autonomous, and high-impact systems.

What is in it for you:
● Be part of the fastest-growing AI-first digital transformation and engineering company in the world
● Be a leader of an energetic team of highly dynamic and talented individuals
● Exposure to working with fortune 500 companies and innovative market disruptors
● Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud