Sr Machine Learning Engineer

Insight Global; Las Vegas (NV); On-site; USD 120,000 - 180,000; Full time

Job summary

Insight Global is hiring an ML Engineer to join the Enterprise Analytics team in Las Vegas. The role focuses on building, deploying, and supporting production-grade ML solutions across a casino organization, partnering with Data Scientists and business stakeholders.

You will own projects end-to-end, design scalable pipelines, and implement automated deployment workflows using Databricks, Kubernetes, and CI/CD, while ensuring governance in regulated environments.

Qualifications

• 5+ years of experience building, scaling, and deploying ML solutions and pipelines using Python, Databricks, GCP, Spark, Delta Lake, Kubernetes, CI/CD, and automated deployment workflows.
• Strong expertise in statistical and quantitative analysis, predictive modeling, anomaly detection, time-series forecasting, demand prediction, experimentation, A/B testing, online evaluation, and optimization algorithms.
• Proven experience managing the end-to-end ML lifecycle, including MLflow, feature stores, model registries, lineage tracking, model monitoring, drift detection, automated retraining, model rollout strategies, and governance in regulated environments.
• Advanced programming and machine learning expertise with Python, SQL, Spark, Pandas, TensorFlow, PyTorch, scikit-learn, hyperparameter optimization, experiment tracking, and scalable distributed computing architectures.
• Experience applying modern AI techniques, including foundation models, embeddings, vector databases, retrieval-augmented approaches, and generative AI, with the ability to translate business requirements into production-ready ML solutions.

Responsibilities

• Design, build, deploy, and support production-grade ML solutions while partnering closely with Data Scientists and business stakeholders.
• Own projects end-to-end, from problem framing to deployment and monitoring.
• Collaborate with ML engineers to implement automated deployment workflows and governance in regulated environments.

Skills

Python

SQL

Spark

TensorFlow

PyTorch

scikit-learn

Databricks

GCP

Delta Lake

Kubernetes

MLflow

Tools

Databricks

GCP

Delta Lake

Kubernetes

MLflow

Job description

Job Description

This role joins a lean, high-impact Enterprise Analytics team focused on building and operationalizing machine learning solutions across a casino organization. The environment is highly hands-on, with the ML Engineer expected to design, build, deploy, and support production-grade ML solutions while partnering closely with Data Scientists and business stakeholders. The ideal candidate is comfortable owning projects end-to-end and thrives in an environment where initiative, communication, and independent problem-solving are critical.

Skills and Requirements

• 5+ years of experience building, scaling, and deploying machine learning solutions and pipelines using Python, Databricks, GCP, Spark, Delta Lake, Kubernetes, CI/CD, and automated deployment workflows.
• Strong expertise in statistical and quantitative analysis, predictive modeling, anomaly detection, time-series forecasting, demand prediction, experimentation, A/B testing, online evaluation, and optimization algorithms.
• Proven experience managing the end-to-end ML lifecycle, including MLflow, feature stores, model registries, lineage tracking, model monitoring, drift detection, automated retraining, model rollout strategies, and governance in regulated environments.
• Advanced programming and machine learning expertise with Python, SQL, Spark, Pandas, TensorFlow, PyTorch, scikit-learn, hyperparameter optimization, experiment tracking, and scalable distributed computing architectures.
• Experience applying modern AI techniques, including foundation models, embeddings, vector databases, retrieval-augmented approaches, and generative AI, with the ability to translate business requirements into production-ready ML solutions.

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 employment opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment without regard to 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 the recruiting process, please send a request to [e-mail].