The company's Global Insights & Data business line is a market leader in data, platform, and analytics across various sectors, including financial services, consumer products, manufacturing, and life sciences. The AI Developer will play a crucial role in shaping and executing AI strategies, building innovative solutions, and leading teams to deliver business value.
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Key Responsibilities:
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AI Solution Development
- Design, build, and deploy scalable AI/ML models to resolve business challenges.
- Collaborate with cross-functional teams to convert business requirements into effective AI solutions.
- Implement best practices for model development, testing, deployment, and monitoring.
- Contribute to the end-to-end AI lifecycle: data collection, exploration, model training, evaluation, and optimization.
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Technical Excellence
- Work with leading AI frameworks such as TensorFlow, PyTorch, Scikit-learn, Hugging Face, and LangChain.
- Utilize cloud platforms (Azure, AWS, GCP) for scalable AI deployments.
- Develop and maintain data pipelines using SQL/NoSQL databases and data engineering tools.
- Apply MLOps tools (e.g., Kubeflow, MLflow, Azure ML) for model governance, versioning, and CI/CD.
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Responsible AI & Compliance
- Ensure AI solutions adhere to standards of fairness, transparency, and security.
- Follow guidelines for ethical and responsible AI usage in all projects.
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Communication & Collaboration
- Effectively communicate complex technical concepts to both technical and non-technical stakeholders.
- Work closely with engineering, cloud, and product teams to integrate AI capabilities into products and platforms.
Required Skills and Experience:
- Proficiency in Python, R, or similar programming languages.
- Strong understanding of machine learning, deep learning, NLP, LLMs, and generative AI.
- Experience with cloud-based AI deployments and data engineering pipelines.
- Familiarity with MLOps tools and best practices.
Professional Attributes:
- Analytical and problem-solving mindset.
- Excellent communication and stakeholder management skills.
- Ability to work effectively in fast-paced, agile environments.
- Strategic thinking with a product-oriented approach.
Preferred Qualifications:
- Master’s or PhD in Computer Science, Artificial Intelligence, Data Science, or related fields.
- Experience with LLM fine-tuning, RAG pipelines, and prompt engineering.
- Contributions to AI/ML publications, patents, or conferences.
- Exposure to industry-specific AI use cases (e.g., BFSI, healthcare, manufacturing).
Why You Should Consider the company:
At the company, you'll join a thriving organization and a diverse collective of innovators and industry experts. We seek opportunities that transform leading businesses and help you gain the experiences and connections needed to shape your future. Working together, sharing knowledge, and pushing boundaries, you'll use your skills to help clients leverage technology for innovation and business growth.
The company is an AI-powered global business and technology transformation partner, dedicated to delivering tangible business value. With a strong heritage of nearly 60 years, our diverse team comprises over 420,000 members in more than 50 countries, providing comprehensive services and solutions driven by industry expertise and collaboration.
