Roles & Responsibilities
Role qualifications:
- Bachelor’s degree or above in (CS, Math, Data Science, Engineering, or other quantitative fields) + 2yrs work experience
- A creative mind with excellent analytical, critical thinking, and problem-solving skills
- Demonstrated proficiency in Python and SQL programming.
- Ability to explore and manipulate large, complex data sets and extract value from them using ETL and ad-hoc scripting skills.
- Hands-on AI/ML algorithm development experience leveraging ML libraries and frameworks.
- Experience developing and deploying production AI product Python code in a cloud-native, micro-service setting.
- Strong proficiency with software tools/practices such as Git, linting, and unit/integration testing.
- Ability to quickly learn and skill up with unfamiliar data and/or products.
- Ability to thrive in both collaborative and independent work environments.
- Strong communication skills including summarizing, interpreting, and presenting data-derived insights.

Nice to have:




- Experience working with large-scale healthcare claims and clinical data.
- Familiar with healthcare data standards.
- Experience with (preferably) AWS or another public Cloud Platform services and tools
- Experience working in an “Agile” and/or “Scrum” development environment using tools such as JIRA
- Knowledge/experience with of MLOps concepts.

What you will be doing:
- Solve business problems and discover meaningful business narratives told by the data by performing data exploration and mining and applying statistical techniques and machine learning algorithms.
- Conduct research and collaborate with product management and business stakeholders following design thinking principals to understand requirements and then design solutions that meet business objectives.
- Extract and manipulate large data sets, leveraging tools including Python, PySPark and SQL
- Demonstrate solution/algorithm feasibility by developing prototypes and communicating risk an

📌 Data Engineer II (Bengaluru)
🏢 Career One Stop
📍 Bengaluru