Accountabilities
As a Lead Consultant - AI Engineer, you will drive the implementation of advanced modelling algorithms (e.g., classification, regression, clustering, NLP, image analysis, graph theory, generative AI) to generate actionable business insights. You will mentor AI scientists, plan and supervise technical work, collaborate with stakeholders, and work within an agile framework and in cross-functional teams to align AI solutions with business goals. You will engage internal stakeholders and external partners for the successful delivery of AI solutions. You will continuously monitor and optimize AI models to improve accuracy and efficiency (scalable, reliable, and well-maintained). You will document processes, models, and key learnings & contribute to building internal AI capabilities. Lastly, you will ensure AI models adhere to ethical standards, privacy regulations, and fairness guidelines.
Essential Skills/Experience:
- Bachelor's in operations research, mathematics, computer science, or related quantitative field.
- Advanced expertise in Python and familiarity with database systems (e.g. SQL, NoSQL, Graph).
- Proven proficiency in at least 3 of the following domains: Generative AI, Computer Vision, MLOps, Optimization, Traditional ML.
- Proficiency in ML libraries sklearn, pandas, TensorFlow/PyTorch.
- Experience productionizing ML/ Gen AI services and working with complex datasets.
- Strong understanding of software development, algorithms, optimization, and scaling.
- Excellent communication and business analysis skills.
- Master’s or PhD in a relevant quantitative field.
- Cloud engineering experience (AWS cloud services)
- Snowflake
- Software development experience (e.g. React JS, Node JS