14 hours ago
Pune, IndiaEntry Level
Responsibilities
- Collaborate with stakeholders to identify business challenges and opportunities where AI can provide solutions.
- Design and develop AI models, algorithms, and applications based on requirements and use cases.
- Apply machine learning techniques to analyze and process large datasets.
- Implement data preprocessing, feature engineering, and model training and evaluation pipelines.
- Conduct exploratory data analysis to identify patterns and trends.
- Optimize and fine-tune AI models for accuracy, performance, and scalability.
- Integrate AI models into existing systems and applications.
- Collaborate with data scientists, software engineers, product managers, and other cross-functional teams.
- Document and communicate project progress, results, and insights.
- Stay current with advances in AI, machine learning, and related technologies.
Requirements
- Bachelor’s degree in computer science, software engineering, data science, information systems, machine learning, or a related field, or equivalent experience.
- Less than 2 years of experience in machine learning engineering, MLOps engineering, platform engineering, DevOps engineering, software engineering, or a related technical field.
- 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.
- Ability to learn quickly and adapt to new technologies and methodologies.
- Certifications in cloud platforms, DevOps, machine learning, container orchestration, automation, cloud engineering, infrastructure automation, or machine learning operations are preferred.
Benefits
- Full-time position.
- Benefits outside the US may vary by country and align with local market practice; eligibility and effective dates may vary.
Categories
About Cencora
Cencora is a global pharmaceutical distributor and services company that links drug manufacturers with pharmacies, hospitals, and other providers, and supports product commercialization and specialty logistics. It earns revenue from wholesale distribution and fee-based services spanning supply chain, market access, and patient-support programs. Formerly AmerisourceBergen, it is a Fortune 10 public company on the NYSE, headquartered in Pennsylvania, serving both human and animal health markets.