AI and Machine Learning Consultant

Role overview

As an AI & Machine Learning Consultant, you will design, develop, and deploy enterprise-grade AI and machine learning solutions that drive business innovation and operational efficiency. You will leverage cloud-native AI services, generative AI technologies, and advanced MLOps practices to build scalable, production-ready AI systems. Working across the AI lifecycle, you will help transform data into intelligent solutions while ensuring performance, scalability, and business value.

Key responsibilities

• Design and develop artificial intelligence (AI) and machine learning (ML) solutions using cloud-native AI and analytics services.
• Build and maintain scalable data pipelines that support model training, deployment, monitoring, and production operations.
• Implement DevOps and MLOps practices to streamline model development, automation, deployment, and lifecycle management.
• Customize, fine-tune, and deploy deep learning, generative AI, and large language model (LLM) solutions to address business needs.
• Design AI solutions that operate efficiently across cloud environments, edge devices, and high-performance computing (HPC) infrastructures.
• Evaluate model performance and communicate solution effectiveness through measurable business outcomes and technical metrics.
• Conduct research and development activities focused on emerging AI technologies, algorithms, simulation techniques, and advanced computational methods.
• Work with large-scale structured and unstructured datasets, applying appropriate data preparation, preprocessing, and feature engineering techniques.
• Develop and maintain efficient data, model, and knowledge storage architectures to support AI applications and retrieval capabilities.
• Collaborate with cross-functional teams including architects, data engineers, software engineers, and business stakeholders to deliver scalable AI solutions.
• Ensure AI solutions align with enterprise security, governance, compliance, and responsible AI requirements.
• Continuously improve AI engineering standards, frameworks, and best practices to accelerate enterprise AI adoption.

Basic qualifications

• 4-7 years of experience in artificial intelligence, machine learning, data science, data engineering, or related technical disciplines.
• Hands-on experience designing, developing, and deploying AI/ML applications in enterprise environments.
• Strong programming skills in Python and experience with AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies.
• Experience with deep learning, generative AI, large language models (LLMs), and modern AI development frameworks.
• Knowledge of cloud platforms such as Microsoft Azure, AWS, or Google Cloud and their AI/ML services.
• Experience building data pipelines and implementing MLOps practices for model deployment, monitoring, and optimization.
• Strong understanding of data engineering concepts, data preprocessing, feature engineering, and model evaluation methodologies.

Preferred qualifications

• Experience developing and deploying generative AI applications, foundation models, and LLM-based solutions.
• Knowledge of retrieval-augmented generation (RAG), vector databases, embeddings, knowledge management, and AI orchestration frameworks.
• Experience with containerization technologies such as Docker and orchestration platforms such as Kubernetes.
• Familiarity with edge AI deployments, distributed computing environments, and high-performance computing (HPC) architectures.
• Experience implementing AI observability, model monitoring, and production support frameworks.
• Strong analytical, problem-solving, and stakeholder management skills.
• Relevant certifications in artificial intelligence, machine learning, data engineering, cloud platforms, or related technologies are preferred.

About the company

The company is a leading global professional services firm that helps the world's leading businesses, governments, and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services—creating tangible value at speed and scale. It is a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and the company is one of the world's leaders in helping drive that change, with strong ecosystem relationships. It combines strength in technology and leadership in cloud, data, and AI with unmatched industry experience, functional expertise, and global delivery capability. The broad range of services, solutions, and assets across strategy & consulting, technology, operations, industry X, and Song, together with a culture of shared success and commitment to creating 360° value, enable the company to help clients reinvent and build trusted, lasting relationships. Success is measured by the 360° value created for clients, each other, shareholders, partners, and communities.

Equal employment opportunity statement

The company believes that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status, or any other basis as protected by applicable law. The rich diversity makes the company more innovative, more competitive, and more creative, which helps better serve clients and communities.