Job Location: Bangalore/Bengaluru
- Coordinate with business teams to monitor outcomes and refine/ improve the machine learning models
- Work across the spectrum of statistical modelling including supervised, unsupervised, & deep learning techniques to apply the right level of solution to the right problem
- Own the code review process to ensure stringent coding guidelines are met by other data scientists & data engineers
- Lead data mining and collection procedures for all business use cases and guarantee data quality and integrity
- Utilize Data visualization tools to deliver insights to stakeholders and present technical solutions to non-technical audience in a simple and clear manner
- Build frameworks leveraging APIs to industrialize AI models across the organization
- Adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Git, GitHub, Markdown)
Requirements and Skills
- You should have Bachelor s or Master s degree in Computer Science, Statistics or Mathematics, Informatics, Information Systems or another quantitative field
- You should have 10+ years of experience in solving real life complex business problems using machine learning. Hands-on experience in deploying these machine learning solutions to production is mandatory.
- In-depth understanding and modeling experience in supervised, unsupervised, reinforcement and deep learning models; hands-on knowledge of data wrangling, data cleaning/ preparation, dimensionality reduction is required
- Knowledge of vector algebra, statistical and probabilistic modelling is highly desirable
- Exploratory data analysis and hypothesis testing to identify ML opportunities is a plus
- Experience in major machine learning frameworks such as Pytorch, Scikit-Learn, 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 SageMaker or Azure ML Studio for deployments is required
- Experience in data visualization software such as Tableau, ELK, etc is a plus
- Strong analytical and critical thinking skills. You should also have a business mindset, swift to identify risk situations and opportunities, and 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
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