Senior AI/ML Engineer: Architect & Deployable ML Systems

MCI; United States; On-site; USD 140,000 - 210,000; Full time

Job summary

MCI is seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI solutions that transform business outcomes. This role blends deep technical leadership with hands-on execution across modeling, data strategy, and production systems.

You will architect scalable ML platforms, mentor engineers, and collaborate with stakeholders to drive measurable value while ensuring governance, security, and compliance in fast-paced

Qualifications

• Bachelor's degree in CS, data science, AI, math, statistics, engineering, or related field.
• Minimum 5 years of software engineering, ML, or AI development experience.
• Strong expertise in ML algorithms, model development, and deployment.
• Advanced proficiency in Python and machine learning frameworks.
• Experience deploying ML models into production environments.

Responsibilities

• Lead design and development of ML solutions addressing complex business challenges.
• Architect scalable machine learning systems and frameworks.
• Develop, train, and optimize predictive and AI-driven models.
• Ensure machine learning solutions are production-ready and operationally efficient.
• Drive data quality and governance across AI initiatives.

Skills

Python

Machine Learning

ML deployment

Mentoring

Agile

Leadership

Education

Bachelor's degree in Computer Science, Data Science, AI, Mathematics, Statistics, Engineering, or related field

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

Job description

MCI is seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI solutions that transform business outcomes. This role blends deep technical leadership with hands-on execution across modeling, data strategy, and production systems.

You will architect scalable ML platforms, mentor engineers, and collaborate with stakeholders to drive measurable value while ensuring governance, security, and compliance in fast-paced