We are a technology-led healthcare solutions provider. We are driven by our purpose to enable healthcare organizations 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 www.careers.indegene.com
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 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.
If this excites you, then apply below.
We are seeking a highly skilled and experienced Data Science Engineer with a strong background Python. The ideal candidate should have expertise in creating and training various machine learning models, identifying the best algorithms for specific use cases, and proficiently writing APIs in Python. A deep understanding of Python and data manipulation libraries like Pandas is essential for success in this role. Pcyroficien in integrating with Language Model APIs such as LLM, GPT, Azure OpenAI, Langchain and OpenAI is an added advantage.
Responsibilities:
Collaborate with cross-functional teams to understand business requirements and formulate data science solutions.
Design, create, and train machine learning models to address specific business use cases.
Evaluate and identify the most suitable algorithms for different types of data and problems.
Develop and maintain APIs in Python to facilitate seamless integration of data science models into various applications.
Conduct thorough data analysis using Pandas and other libraries to extract meaningful insights.
Work closely with stakeholders to define key performance indicators (KPIs) and metrics for measuring model performance.
Stay informed about the latest advancements in data science, machine learning, and natural language processing.
Collaborate with software engineers to implement scalable and efficient solutions based on data science models.
Provide mentorship and guidance to junior data scientists within the team.
Integrate with Language Model APIs such as LLM, GPT, and OpenAI to leverage cutting-edge natural language processing capabilities.
Qualifications:
Bachelors in Computer Science, Data Science, or a related field.
Extensive experience in creating, training, and deploying machine learning models for diverse use cases.
Proficiency in Python, with a deep understanding of the language and its ecosystem.
Strong experience with Pandas and other data manipulation libraries for effective data analysis.
Expertise in writing APIs in Python to enable seamless integration of data science solutions.
Ability to evaluate and select appropriate machine learning algorithms based on the specific requirements of different projects.
Excellent problem-solving skills and the ability to think critically about data and model outcomes.
Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Continuous learning mindset and a proactive approach to staying updated on industry trends.
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, 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.
