Senior AI / ML Engineer

Mass Markets
United States
about 2 months ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Computer Vision Microsoft Azure Cloud Computing Data Architecture Information Engineering Distributed Systems Python (Programming Language) Machine Learning Recommender Systems
+15 more
Tensorflow Software Deployment Software Engineering Feature Engineering Pytorch Delivery Pipeline Large Language Models Model Validation Generative AI Data Strategy Scikit Learn Information Technology Xgboost Integration Frameworks Machine Learning Operations

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 experiencedSenior AI / Machine Learning Engineerto 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., 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., 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.

Requirements

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., + 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)

About the company

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 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

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