Senior AI Engineer

Title : Senior AI Engineer

Date : 22 Aug 2025 Location :

Bangalore, KA, IN

Job Description

We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations to be future-ready. We offer accelerated, global growth opportunities for talent that’s bold, industrious, and nimble. With Indegene, you gain a unique career experience that celebrates entrepreneurship and is guided by passion, innovation, collaboration, and empathy. To explore exciting opportunities at the convergence of healthcare and technology, check out Looking to jump-start your career? We understand how important the first few years of your career are, which create the foundation of your entire professional journey. At Indegene, we promise you a differentiated career experience. You will not only work at the exciting intersection of healthcare and technology but also will be mentored by some of the most brilliant minds in the industry. We are offering a global fast-track career where you can grow along with Indegene’s high-speed growth. We are purpose-driven. We enable healthcare organizations to be future ready and our customer obsession is our driving force. We ensure that our customers achieve what they truly want. We are bold in our actions, nimble in our decision-making, and industrious in the way we work.

Must Have

Job Overview : We are seeking a highly skilled and results-driven Senior Analyst in Product Data Engineering to join our dynamic team. The successful candidate will be responsible for driving data solutions, supporting data integration, and providing advanced analytics to optimize product development and performance. This individual will play a critical role in analyzing complex product data and delivering insights that drive decision-making across the business. Key Responsibilities : Design, develop, and manage data pipelines that support product data integration and engineering initiatives. Analyze large, complex datasets to extract actionable insights for product development, performance optimization, and business strategy. Collaborate closely with product, engineering, and business teams to understand product needs and translate them into data-driven solutions. Monitor data quality, integrity, and accuracy, ensuring that data is reliable and accessible for decision-making. Design and implement efficient data models to support product analysis and performance metrics. Provide advanced analytics, visualization, and reporting capabilities to help guide product strategy and key business decisions. Utilize machine learning and statistical techniques to develop predictive models that improve product outcomes. Lead and mentor junior team members, sharing knowledge and best practices related to data engineering and product analytics. Identify and implement process improvements to streamline data processes and increase operational efficiency. Key Requirements : Bachelor�s or Master�s degree in Computer Science, Data Engineering, Statistics, or a related field. 4+ years of experience in data engineering or analytics, preferably with a focus on product data. Strong proficiency in SQL, Python, R, or other programming languages used for data analysis and automation. Experience with data visualization tools (, Tableau, Power BI) and reporting. Expertise in data integration and ETL processes, including working with cloud-based data platforms (, AWS, GCP, Azure). Solid understanding of product metrics and KPIs, with the ability to create meaningful reports and dashboards. Experience with machine learning, statistical modeling, and data analysis techniques. Strong problem-solving skills, attention to detail, and the ability to communicate complex findings to non-technical stakeholders. Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams. Preferred Qualifications : Experience in agile development environments. Knowledge of product development processes and how data engineering supports them. Familiarity with A / B testing methodologies and experimentation frameworks. Understanding of data governance and compliance practices.

Good to have

EQUAL OPPORTUNITY

Indegene is proud to be an Equal Employment Employer and is committed to the culture of Inclusion and Diversity. We do not discriminate on the basis of race, religion, sex, colour, age, national origin, pregnancy, sexual orientation, physical ability, or any other characteristics. All employment decisions, from hiring to separation, will be based on business requirements, the candidate’s merit and qualification. We are an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, national origin, gender identity, sexual orientation, disability status, protected veteran status, or any other characteristics.