Senior AI / ML Engineer

MCI Careers • ,

13d • Onsite

About The Position

MCI is one of the fastest-growing tech-enabled business services companies in the USA, with a strong call center footprint and operations that extend across multiple countries. We deliver Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions across a wide range of industries, including healthcare, retail, government, education, telecom, technology e-commerce, and financial services. Our contact centers are powered by both on-site and remote agents, leveraging advanced technologies to enhance customer journeys, drive scalability and reduce costs.
At MCI we are committed to fostering an environment where professionals can build meaningful careers, access continuous learning and development opportunities and contribute to the success of a globally expanding, industry-leading organization.
We are seeking a highly experienced Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI and machine learning solutions that drive innovation and business transformation. This role combines deep technical expertise with leadership responsibilities, ensuring machine learning systems are scalable, reliable, and aligned with organizational objectives.
You will work closely with data scientists, engineers, product teams, and business leaders to deliver enterprise-grade AI solutions while mentoring technical teams and establishing best practices.
To be considered for this role, you must complete a full application on our company careers page, including all screening questions and a brief pre-employment test.

Requirements

• Bachelor's Degree in Computer Science, Data Science, Artificial Intelligence, Mathematics, Statistics, Engineering, or a related field.
• Minimum 5 years of software engineering, machine learning, or AI development experience.
• Strong expertise in machine learning algorithms, model development, and deployment.
• Advanced proficiency in Python and machine learning frameworks.
• Experience building enterprise-scale AI solutions.
• Strong understanding of statistical analysis and predictive modeling.
• Experience deploying machine learning models into production environments.
• Knowledge of cloud computing and distributed systems.
• Experience mentoring technical teams and leading projects.
• Strong analytical and problem-solving skills.
• Excellent communication and stakeholder engagement abilities.
• Experience working in Agile software development environments.

Nice To Haves

• Experience with TensorFlow, PyTorch, Scikit-learn, or XGBoost.
• Experience with Generative AI and Large Language Models.
• Knowledge of MLOps and CI/CD pipelines.
• Cloud certifications in AWS, Azure, or GCP.
• Experience with NLP, computer vision, or recommendation systems.
• Knowledge of AI governance and responsible AI frameworks.
• Master's Degree in AI, Data Science, or related field.
• Experience leading enterprise AI transformation initiatives.

Responsibilities

• Lead the design and implementation of machine learning solutions that address complex business challenges.
• Architect scalable machine learning systems and frameworks.
• Develop, train, and optimize predictive and AI-driven models.
• Establish model development standards and best practices.
• Drive technical decision-making across AI initiatives.
• Ensure machine learning solutions are production-ready and operationally efficient.
• Design deployment strategies for machine learning models.
• Support MLOps practices and model lifecycle management.
• Monitor model performance and address drift or degradation.
• Optimize infrastructure and deployment pipelines.
• Drive data quality and effectiveness across AI initiatives.
• Collaborate with data engineering teams on data architecture.
• Improve feature engineering and model training processes.
• Ensure data quality, consistency, and governance standards.
• Support scalable data processing frameworks.
• Promote responsible and secure AI development practices.
• Implement model validation and testing frameworks.
• Ensure compliance with regulatory and governance requirements.
• Support AI risk management initiatives.
• Maintain documentation and technical standards.
• Provide technical leadership and contribute to organizational AI strategy.
• Mentor engineers and machine learning practitioners.
• Evaluate emerging AI and machine learning technologies.
• Lead proof-of-concept and innovation initiatives.
• Support AI transformation and modernization efforts.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior