About the role
Design and deliver scalable AI and ML solutions for complex business challenges, developing models and data pipelines, deploying in production environments, and mentoring junior team members.
ConsultingOnsiteOther Functions
Key Responsibilities
Responsibilities are not available for this post.
Requirements
- Strong proficiency in machine learning algorithms, model development, and computational systems
- Hands-on experience with Deep Learning and Generative AI model customization
- Experience building scalable data pipelines and working with large datasets
- Practical understanding of MLOps/DevOps for training, monitoring, and deployment
- Experience with high-performance computing or edge deployment scenarios
- Familiarity with cloud AI services (Azure, Google Cloud, AWS)
- Ability to translate complex technical concepts into business insights for clients
- Proven collaboration skills across multidisciplinary teams and stakeholders ### Preferred Qualifications
- Advanced degree in Computer Science, Machine Learning, Computational Mathematics, or related field
- Experience optimizing models for HPC or resource‑constrained devices
- Knowledge of GenAI frameworks and large language models
- Research or publication experience in AI/ML
- Experience in consulting or client-facing delivery environments
- Knowledge of causal inference, probabilistic modeling, or simulation techniques