Senior AI / ML Engineer

POSITION OVERVIEW 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. POSITION RESPONSIBILITIES Key Responsibilities: Machine Learning Architecture & Development 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.

Production Deployment & MLOps 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. Data Strategy & Optimization 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. Governance, Security & Compliance 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.

Leadership & Innovation 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. CANDIDATE QUALIFICATIONS WONDER IF YOU ARE A GOOD FIT FOR THIS POSITION?

All positive, and driven applicants are encouraged to apply. The Ideal candidates for this position are highly motivated and dedicated and should possess the below qualities: 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 Have 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.

PHYSICAL REQUIREMENTS This job operates in a professional office environment. While performing the duties of this job, the employee will be largely sedentary and will be required to sit/stand for long periods while using a computer and telephone headset. The employee will be regularly required to operate a computer and other office equipment, including a phone, copier, and printer.

The employee may occasionally be required to move about the office to accomplish tasks; reach in any direction; raise or lower objects, move objects from place to place, hold onto objects, and move or exert force up to forty (40) pounds. CONDITIONS OF EMPLOYMENT All MCI Locations Must be authorized to work in the country where the job is based. Subject to the program and location of the position Must be willing to submit up to a LEVEL II background and/or security investigation with a fingerprint.

Job offers are contingent on background/security investigation results. Must be willing to submit to drug screening. Job offers are contingent on drug screening results. (Does not apply in Canada) REASONABLE ACCOMMODATION Consistent with the Americans with Disabilities Act (ADA), it is the policy of MCI and its affiliates to provide reasonable accommodations when requested by a qualified applicant or employee with a disability unless such accommodations would cause undue hardship.

The policy regarding requests for reasonable accommodation applies to all aspects of employment. If reasonable accommodations are needed, please contact Human Resources. EQUAL OPPORTUNITY EMPLOYER At MCI and its subsidiaries, we embrace differences and believe diversity is a benefit to our employees, our company, our customers, and our community.

All aspects of employment at MCI are based solely on a person's merit and qualifications. MCI maintains a work environment free from discrimination, one where employees are treated with dignity and respect. All employees share in the responsibility for fulfilling MCI's commitment to a diverse and equal opportunity work environment.

MCI does not discriminate against any employee or applicant on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations, and ordinances. MCI will consider for employment qualified applicants with criminal histories in a manner consistent with local and federal requirements. MCI will not tolerate discrimination or harassment based on any of these characteristics.

We adhere to these principles in all aspects of employment, including recruitment, hiring, training, compensation, promotion, benefits, social and recreational programs, and discipline. In addition, it is the policy of MCI to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where an employee works. #J-18808-Ljbffr