• Collaborate with stakeholders to identify business challenges and opportunities where AI can provide solutions.    

• Design and develop AI models, algorithms, and applications based on identified requirements and use cases.   

• Apply machine learning techniques to analyse and process large datasets to extract meaningful insights.   

• Implement data pre-processing, feature engineering, and model training and evaluation pipelines.   

• Conduct exploratory data analysis to gain a deep understanding of datasets and uncover patterns and trends.   
• Optimize and fine-tune AI models to improve accuracy, performance, and scalability.    

• Integrate AI models into existing systems and applications, ensuring seamless functionality and compatibility.    

• Collaborate with cross-functional teams, including data scientists, software engineers, and product managers, to ensure successful project execution.   

• Document and communicate project progress, results, and insights to stakeholders in a clear and concise manner.   

• Stay up to date with the latest advancements in AI, machine learning, and related technologies, and apply them to enhance existing solutions. ​Choose an item.​

• The employee agrees to take over additional reasonable tasks that align with their abilities, if required
• Solid understanding of statistical analysis, data visualization, and exploratory data analysis.    

• Strong problem-solving skills and ability to translate business requirements into technical solutions. Excellent communication and teamwork skills, with the ability to collaborate effectively with cross-functional teams.

• Ability to learn quickly and adapt to new technologies and methodologies.

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Bachelor’s degree in computer science, software engineering, data science, information systems, machine learning, or a related field, or equivalent experience required. Less than 2 years of experience in machine learning engineering, MLOps engineering, platform engineering, DevOps engineering, software engineering, or a related technical field required. Certification in cloud platforms, DevOps, machine learning, container orchestration, automation, or platform engineering preferred. Certification in cloud engineering, infrastructure automation, or machine learning operations preferred.

What Cencora offers

​Benefit offerings outside the US may vary by country and will be aligned to local market practice. The eligibility and effective date may differ for some benefits and for team members covered under collective bargaining agreements.

Full time

Affiliated Companies

Affiliated Companies: CENCORA BUSINESS SERVICES INDIA PRIVATE LIMITED

Equal Employment Opportunity

Cencora is committed to providing equal employment opportunity without regard to race, color, religion, sex, sexual orientation, gender identity, genetic information, national origin, age, disability, veteran status or membership in any other class protected by federal, state or local law.

The company’s continued success depends on the full and effective utilization of qualified individuals. Therefore, harassment is prohibited and all matters related to recruiting, training, compensation, benefits, promotions and transfers comply with equal opportunity principles and are non-discriminatory.

Cencora is committed to providing reasonable accommodations to individuals with disabilities during the employment process which are consistent with legal requirements. If you wish to request an accommodation while seeking employment, please call 888.692.2272 or email hrsc@cencora.com. We will make accommodation determinations on a request-by-request basis. Messages and emails regarding anything other than accommodations requests will not be returned