Who Can Apply
- Candidates must be legally authorized to work in Canada
Job Description
Insight Global is hiring a Senior Machine Learning Engineer to join one of our largest enterprise retail clients as they transform the future of digital commerce. This team is building next‑generation AI and personalization capabilities that power millions of customer interactions across grocery, beauty, pharmacy, loyalty, and apparel.
You’ll be part of a high‑impact engineering group leveraging advanced machine learning, generative AI, and large‑scale cloud infrastructure to redefine how customers discover and shop for products. This is an opportunity to work with massive datasets, cutting‑edge technologies, and a team that is shaping the future of retail innovation.
We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.
Required Skills & Experience
REQUIRED QUALIFICATIONS
Master’s or PhD in Computer Science, Machine Learning, or a related field.
5+ years of experience in machine learning engineering, with a strong focus on GenAI‑driven personalization.
Expertise with GenAI frameworks (e.g., LangChain or LangGraph) and production‑grade ML systems.
Proven experience with GCP services and large‑scale ML infrastructure.
Strong proficiency in Python, SQL, and cloud‑native development.
Experience with Docker and Kubernetes.
Demonstrated success deploying ML models to production at scale.
PREFERRED QUALIFICATIONS
Experience with multimodal deep learning architectures and generative AI models.
Knowledge of modern recommendation system architectures (transformers, neural collaborative filtering).
Experience building real‑time inference systems.
Familiarity with distributed computing frameworks (Spark) and big‑data processing.
Experience with Apache Airflow (Cloud Composer) and CI/CD pipelines.
Benefit packages for this role will start on the 1st day of employment and include medical, dental, and vision insurance, as well as HSA, FSA, and DCFSA account options, and 401k retirement account access with employer matching. Employees in this role are also entitled to paid sick leave and/or other paid time off as provided by applicable law.