Senior AI / ML Engineer

MCI; Gauteng; On-site; ZAR 900,000 - 1,200,000; Full time

Job summary

MCI is seeking a Senior AI / Machine Learning Engineer to lead the design, development, and deployment of advanced AI solutions that drive business transformation. You will mentor engineers, collaborate with data scientists, product teams and leadership to deliver enterprise-grade models, MLOps, data governance, and scalable ML architectures.

You will work closely with data scientists, engineers, product teams, and business leaders to ensure machine learning systems are scalable, reliable, and

Qualifications

• 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.

Responsibilities

• Lead the design and development of enterprise-grade AI solutions.
• 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 production-ready, scalable ML deployments (MLOps).
• Monitor model performance and address drift or degradation.
• Collaborate with data engineering on data architecture and governance.

Skills

Python

ML frameworks

Leadership

Mentoring

Cloud computing

Agile

Data analysis

Problem solving

Education

Bachelor's in CS/Data Science/AI

Tools

TensorFlow

PyTorch

Scikit-learn

XGBoost

Job description

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.

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.

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.

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.

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)

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.

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.

MCI helps customers take on their CX and DX challenges differently, creating industry-leading solutions that deliver exceptional experiences and drive optimal performance. MCI assists companies with business process outsourcing, staff augmentation, contact center customer services, and IT Services needs by providing general and specialized hosting, software, staff, and services.

In 2019, Marlowe Companies Inc. (MCI) was named by Inc. Magazine as Iowa’s Fastest Growing Company in the State of Iowa and was named the 452nd Fastest Growing Privately Company in the USA, making the coveted top 500 for the first time. MCI’s subsidiaries had previously made Inc. Magazine's List of Fastest-Growing Companies 15 times, respectively. MCI has ten business process outsourcing service delivery facilities in Georgia, Florida, Texas, New Mexico, California, Kansas, Nova Scotia, South Africa, and the Philippines.

Driving modernization through digitalization, MCI ensures clients do more for less. MCI is the holding company for a diverse lineup of tech-enabled business services operating companies. MCI organically grows, acquires, and operates companies that have synergistic products and services portfolios, including but not limited to Automated Contact Center Solutions (ACCS), customer contact management, IT Services (IT Schedule 70), and Temporary and Administrative Professional Staffing (TAPS Schedule 736), Business Process Management (BPM), Business Process Outsourcing (BPO), Claims Processing, Collections, Customer Experience Provider (CXP), Customer Service, Digital Experience Provider (DXP), Account Receivables Management (ARM), Application Software Development, Managed Services, and Technology Services, to mid-market, Federal & enterprise partners. MCI now employs 10,000+ talented individuals with 150+ diverse North American client partners across the following MCI brands MCI BPO, MCI BPOaaS, MarketForce, GravisApps, Gravis Marketing, MarchEast, Mass Markets, MCI Federal Services (MFS), OnBrand24, The Sydney Call Center, Valor Intelligent Processing (VIP), BYC Aqua, EastWest BPO, TeleTechnology, and Vinculum.

The purpose of the above job description is to provide potential candidates with a general overview of the role. It's not an all-inclusive list of the duties, responsibilities, skills, and qualifications required for the job. You may be asked by your supervisors or managers to perform other duties. You will be evaluated in part based upon your performance of the tasks listed in this job description.

The employer has the right to revise this job description at any time. This job description is not a contract for employment, and either you or the employer may terminate employment at any time, for any reason.