Data Scientist (Database Development)
Nasdaq
- Bangalore, Karnataka
- Permanent
- Full-time
- Utilize the Databricks Lakehouse Platform to perform data engineering tasks. Apply machine learning to consolidated business data to produce predictive models.
- Implement new AI technologies as services to meet business requirements.
- Responsible for fine-tuning existing machine learning models to improve performance and adapt them to specific use cases.
- Skilled in crafting effective prompts and designing features to enhance model capabilities.
- Leverage external data sources to augment ML/AI results.
- Enrich business data to produce new data sets with external data or ML/AI inferences.
- Provides technical support in a defined project under direct supervision.
- Develops program logic for new applications or analyses and modifies logic in existing applications, often learning on the job from more senior colleagues as size of the challenge increases.
- Modifies existing internal software products to add new functions, adapt to new hardware, improve performance or enhance product usability under direct supervision.
- Implements and monitors basic system improvements to increase efficiency.
- Under supervision, supports applications to be compatible across multiple computing platforms and browsers.
- At least 2-4 years of Database development experience.
- Proficiency in SQL and Python for Data Manipulation and transformation.
- Knowledge of AI technologies such as LLM/ML/FM etc.
- Must have worked on cloud computing platforms like AWS.
- Familiarity with AI/ML Ops in Databricks including MosaicML.
- Should understand AWS technologies such as Bedrock, SageMaker and Lambda.
- Education Qualification: Bachelor/Master degree in relevant field or equivalent qualification.
- Knowledge on Terraform.
- Any certification in relevant field.
- Annual monetary bonus.
- An opportunity to become a Nasdaq shareholder.
- Employee Stock Purchase Program Nasdaq stocks with a discount.
- Health Insurance Program.
- Flexible working schedule and hybrid way of work.
- Flex day program (up to 6 paid days off a year).
- Internal mentorship program – get a mentor or become one.
- Wide selection of online learning resources, e.g., Udemy.