Senior ML Engineer

Description

The Senior Machine Learning Engineer is responsible for designing, building, and operationalizing advanced machine learning systems that support critical business functions across Resort property. This role serves as a technical expert and thought leader who develops scalable ML and AI solutions, architects' production-grade pipelines, and ensures models are deployed, monitored, and maintained with enterprise reliability. The ideal candidate brings deep experience in machine learning engineering, cloud technologies, and large-scale data processing, combined with strong skills in statistical modeling, MLOps practices, and modern AI methodologies.

They will partner closely with Data Engineering, Operations, and business stakeholders to translate complex business challenges into scalable solutions that drive operational efficiency and strategic decision-making. The Senior Machine Learning Engineer works autonomously, mentors other team members, and champions best practices in model governance, Responsible AI, security, and documentation. A passion for innovation, problem-solving, and continuous learning is essential. All duties are to be performed in accordance with departmental and the resort’s policies, practices, and procedures.

Skills

Machine learning, Python, SQL, ML Operations, Google, Data, Databricks, Forecasting, Data modeling, AWS, Azure, Modeling, Artificial intelligence

Top Skills Details

Machine learning, Python, SQL, ML Operations, Google, Data, Databricks, Forecasting

Additional Details

• Architect and build scalable cloud‑based data and ML pipelines, as well as a robust ML framework to support model training, deployment, inference, and monitoring at scale.

• Lead the design, development, evaluation, validation, and implementation of machine learning models aligned to business objectives.

• Conduct data preprocessing, feature engineering, exploratory data analysis, and deep dives to uncover trends and support model development and business insights.

• Manage and optimize end‑to‑end ML workflows, including data ingestion, orchestration, and pipeline reliability.

• Implement comprehensive model monitoring, including performance tracking, drift detection, data quality checks, and automated retraining triggers.

• Design and implement predictive analytics solutions, experiments, and model algorithms to improve forecasting, optimization, and operational decision‑making.

• Incorporate clear and effective data visualization techniques for both technical and non‑technical audiences.

• Make informed infrastructure and modeling decisions, including model selection, feature strategies, hyperparameter tuning, and evaluation methodologies.

• Develop and maintain detailed documentation for operational readiness and cross‑team alignment.

• Ensure code quality, security, and compliance; maintain ML governance best practices, including Responsible and Explainable AI standards.

• Lead code reviews and provide technical guidance, mentorship, and best‑practice reinforcement across the team.

• Stay current with industry trends, emerging research, and new technologies to drive continuous improvement and innovation in ML engineering.

Job Type & Location

This is a Contract to Hire position based out of Las Vegas, NV.

Pay and Benefits

The pay range for this position is $75.00 - $85.00/hr.

Eligibility requirements apply to some benefits and may depend on your job classification and length of employment. Benefits are subject to change and may be subject to specific elections, plan, or program terms. If eligible, the benefits available for this temporary role may include the following: • Medical, dental & vision • Critical Illness, Accident, and Hospital • 401(k) Retirement Plan – Pre-tax and Roth post-tax contributions available • Life Insurance (Voluntary Life & AD&D for the employee and dependents) • Short and long-term disability • Health Spending Account (HSA) • Transportation benefits • Employee Assistance Program • Time Off/Leave (PTO, Vacation or Sick Leave)

Workplace Type

This is a fully onsite position in Las Vegas,NV.

Application Deadline

This position is anticipated to close on Jun 5, 2026.

About TEKsystems

We're partners in transformation. We help clients activate ideas and solutions to take advantage of a new world of opportunity. We are a team of 80,000 strong, working with over 6,000 clients, including 80% of the Fortune 500, across North America, Europe and Asia. As an industry leader in Full-Stack Technology Services, Talent Services, and real-world application, we work with progressive leaders to drive change. That's the power of true partnership. TEKsystems is an Allegis Group company.

The company is an equal opportunity employer and will consider all applications without regards to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

About TEKsystems and TEKsystems Global Services

We’re a leading provider of business and technology services. We accelerate business transformation for our customers. Our expertise in strategy, design, execution and operations unlocks business value through a range of solutions. We’re a team of 80,000 strong, working with over 6,000 customers, including 80% of the Fortune 500 across North America, Europe and Asia, who partner with us for our scale, full-stack capabilities and speed. We’re strategic thinkers, hands-on collaborators, helping customers capitalize on change and master the momentum of technology. We’re building tomorrow by delivering business outcomes and making positive impacts in our global communities. TEKsystems and TEKsystems Global Services are Allegis Group companies. Learn more at TEKsystems.com.

The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law.

San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records.

Massachusetts Lie Detector: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.