Cencora: AI Developer 1

About AI Developer 1 at Cencora

Cencora is a leading global pharmaceutical solutions company uniting over 46,000 employees worldwide to improve the lives of people and animals by facilitating seamless access to essential therapies. As an AI Developer 1 within Cencora's enterprise Data organization in Pune, you will actively contribute to building cutting-edge artificial intelligence and machine learning capabilities that transform pharmaceutical supply chains. This entry-level AI role is tailored for passionate technologists seeking to apply advanced data science and generative AI models to mission-critical healthcare workflows.

In your day-to-day role, you will collaborate with data scientists, software engineers, and domain specialists to develop, test, and deploy intelligent software applications. You will write clean, scalable code in Python, build predictive machine learning models, and implement modern AI pipelines that enhance supply chain visibility, predictive inventory allocation, and customer intelligence. Working at Cencora's technology hub in Pune, your contributions will directly support pharmaceutical manufacturers, healthcare providers, and patients worldwide.

Cencora offers early-career AI practitioners an extraordinary opportunity to work with complex, enterprise-scale healthcare datasets in a purpose-driven corporate environment. Over your first year, you will advance your technical mastery across natural language processing, predictive modeling, and cloud-native AI deployment. For aspiring machine learning engineers eager to make a tangible global impact on human healthcare, Cencora provides a truly rewarding and innovation-centric career path.

Roles & Responsibilities

• Develop, train, evaluate, and deploy scalable artificial intelligence models and machine learning pipelines to solve complex business problems.
• Write clean, well-documented, and performant Python code adhering to enterprise software engineering standards and AI best practices.
• Collaborate with data scientists, product managers, and business stakeholders to translate clinical and commercial healthcare data into actionable AI solutions.
• Perform exploratory data analysis, data cleansing, feature engineering, and data quality validation across massive enterprise datasets.
• Implement automated model evaluation routines, tracking performance metrics, model drift, and prediction accuracy in production systems.
• Design and integrate RESTful APIs and microservices using Python frameworks such as FastAPI or Flask to serve AI predictions reliably.
• Participate in agile sprint rituals, peer code reviews, and architectural discussions to foster collaborative engineering excellence.
• Troubleshoot and optimize existing AI pipelines, diagnosing computational bottlenecks and refining model inference performance.
• Adopt robust version control workflows utilizing Git and adhere to continuous integration and continuous delivery (CI/CD) practices.
• Document machine learning model architectures, feature pipelines, validation experiments, and deployment configurations comprehensively.

Requirements & Eligibility

• Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, Artificial Intelligence, Information Systems, or a related quantitative field.
• 0 to 2 years of professional software development or applied artificial intelligence experience, with strong foundational project coursework.
• Strong programming proficiency in Python, including experience with data science libraries such as NumPy, Pandas, and Scikit-learn.
• Foundational understanding of core machine learning algorithms, statistical methods, regression models, and neural network principles.
• Experience with relational databases and strong capability to formulate structured SQL queries for large-scale data extraction.
• Familiarity with modern software development practices, version control using Git, and collaborative code reviews via GitHub or GitLab.
• Basic understanding of containerization concepts using Docker and exposure to cloud platforms (AWS, Azure, or GCP).
• Knowledge of RESTful API principles and modern web frameworks like FastAPI or Flask is an added advantage.
• Strong analytical problem-solving abilities with high attention to detail and an ethical mindset regarding enterprise data governance.
• Excellent verbal and written communication skills with the capability to present technical AI concepts clearly to non-technical stakeholders.

Key Skills & Technologies

This artificial intelligence development role emphasizes strong Python programming, machine learning libraries, and relational data querying.

• Python: Core programming language utilized for machine learning model development, data manipulation, and backend service integration.
• Machine Learning Libraries (Scikit-learn, Pandas, NumPy): Data analysis and modeling toolkits used for feature engineering and statistical modeling.
• SQL & Relational Databases: Structured querying systems used for enterprise data warehousing, pipeline sourcing, and dataset validation.
• FastAPI & RESTful APIs: Lightweight web framework and architectural patterns used for building high-performance model serving endpoints.
• Git & Version Control: Distributed version control tools applied for team code collaboration, release branching, and project governance.
• Docker & Cloud Platforms: Containerization and cloud infrastructure services used to package, deploy, and scale machine learning workloads.

Why Join Cencora?

• Join a purpose-driven Fortune 20 global healthcare leader committed to creating healthier futures and expanding access to lifesaving therapies.
• Work with massive, real-world healthcare datasets to engineer transformative artificial intelligence and predictive modeling solutions.
• Enjoy a welcoming, inclusive, and culturally diverse working environment recognized globally for employee well-being and career growth.
• Receive competitive compensation packages, comprehensive medical insurance, annual performance bonuses, and extensive upskilling opportunities.

Expected Salary

Based on verified compensation benchmarks from AmbitionBox, Glassdoor, and industry healthcare IT reports for AI Developer 1 and entry-level Data Science roles at Cencora in Pune, the annual compensation package typically ranges between ₹7,50,000 and ₹13,00,000 per annum. Cencora provides comprehensive employee benefits including premium healthcare coverage for families, performance-linked bonuses, retirement funds, and continuous learning sponsorship. Final compensation offers are determined based on technical evaluation performance, candidate academic background, and relevant technical expertise.