- Should have bachelors or Masters degree in Computer Science Statistics or Mathematics Informatics Information Systems or another quantitative field
- 7 years of experience in solving complex, real-life business problems using machine learning.
- Hands-on experience deploying these machine learning solutions to production is mandatory.
- In-depth understanding of NLP, LLM, Generative AI, and RAG application development .
- In-depth understanding and modeling experience in supervised unsupervised reinforcement and deep learning models are required.
- Hands-on knowledge of data wrangling data cleaning preparation dimensionality reduction is required
- Knowledge of vector algebra statistical and probabilistic modelling is highly desirable
- Experience with exploratory data analysis and hypothesis testing to identify ML opportunities is a plus
- Experience in major machine learning frameworks such as Pytorch ScikitLearn Tensorflow Pandas SparkML etc
- Fluency in programming skills such as Python R or other equivalent languages.
- Familiarity with databases like MySQL Oracle SQL Server NoSQL etc. is desirable .
- Experience working with Amazon Sage Maker or Azure ML Studio for deployments is required
- Experience in data visualization software such as Tableau ELK etc is a plus
- Robust analytical and critical thinking skills. You should also have a business mindset, be swift to identify risk situations and opportunities, and be able to generate creative solutions to business problems
- Effective communication skills written and verbal to properly articulate complicated statistical models reports to management and other IT development partners".