KEY RESPONSIBILITIES:
In this role, you will be responsible for:
* Designing, developing, and deploying AI/ML models and solutions, including LLMs and GenAI.
* Performing feature engineering and selection to optimize model performance.
* Selecting and implementing appropriate AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models.
* Training, evaluating, and optimizing models using machine learning and statistical techniques.
* Conducting extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications.
* Deploying models to production environments, ensuring robustness and scalability.
* Monitoring model performance and defining strategies for identifying drift; retraining or refining models as needed.
* Collaborating with cross-functional teams to integrate AI/ML models with business applications and systems.
* Staying updated on the latest advancements in AI/ML technologies.
* Leading and mentoring junior team members.
* Developing and maintaining comprehensive documentation for AI/ML pipelines and workflows.
Key Performance Indicators (KPIs) for the role:
Over the next 12 months, this role's success will be measured on:
* Successful deployment of AI/ML models into production.
* Improvement in model performance metrics (e.g., accuracy, precision, recall).
* Reduction in model drift and timely retraining of models.
* Effective collaboration with cross-functional teams.
* Contribution to innovation and staying updated with AI/ML advancements.
* Mentorship and development of junior team members.
KEY JOB REQUIREMENTS:
In this role, you will be successful if you have:
Experience:
* 5+ years of experience in AI/ML development.
* Strong understanding of AI/ML algorithms and techniques, including LLMs, GenAI, and automated AI systems.
* Experience with machine learning frameworks (e.g., TensorFlow, PyTorch).
Skills & Competencies:
Must Have:
* Proficiency in Python, R, or other relevant programming languages.
* Proficiency in working with large datasets, data wrangling, and data preprocessing.
* Ability to work independently and lead projects from inception to deployment.
* Experience with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, GCP, Azure).
Preferred Skills:
* MSc or PhD in Computer Science, Artificial Intelligence, or related field.
ADDITIONAL NOTES:
* Ability to work independently or as part of a team.
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