Senior Specialist, Data Analytics and AI

Position
: IS Senior Specialist, Data Analytics and AI

Department
:
Aptar Information Systems

Location
:
Aptar worldwide

Travel Expectations
:
Up to 25%

Reports To
:
Director, IS Data & Analytics

The IS Senior Specialist, Data Analytics and AI is the key contributor to our machine learning initiatives, will manage the full development lifecycle, including data preprocessing, feature engineering, model training, deployment, and monitoring. She/he is a Subject Matter Expert in ML and AI, obtained through advanced technical education & work experience, interprets internal or external issues, and recommends solutions and best practices.

She/he will work with cross-functional teams to analyze large datasets, build predictive models, and optimize algorithm performance.

This role offers the chance to work with advanced technologies and collaborate with talented professionals’ team that value collaboration, continuous learning in a dynamic, innovative environment.

This role requires expertise in ML and AI algorithms, programming, and data analysis, along with strong problem-solving and communication skills.

In this position he/she will be directly reporting to the Director, IS Business Analytics.

The IS Senior Specialist, Data Analytics and AI plays a key role in the end-to-end design and implementation of Aptar Machine Learning and AI use cases, works closely with both Data & Analytics team and business to identify key areas of development for Machine Learning and generative AI solutions, and has strong end-to-end solution ownership, translating product requirements into user interfaces and backend distributed system design as well as own the implementation of these designs.

She/he is a senior team member of the projects and the programs in the area of Artificial Intelligence and engages stakeholders based upon the needs of his domain.

• She/he is independent & effective
• She/he solve problems with Data, ML and AI, and recommends solutions to complex problems guided by business objectives
• She/he influences Aptar expert stakeholders
• Work with data scientists, software engineers, and business stakeholders to define problems, requirements, and objectives.
• Collaborate with domain experts to gather insights for enhancing model relevance and performance.
• Communicate findings, results, and recommendations effectively to both technical and non-technical stakeholders
• Participate in cross-functional discussions to identify business problems and opportunities for machine learning solutions.

• Preprocess, clean, and normalize large datasets to ensure data quality.
• Conduct exploratory data analysis to understand patterns and distributions.
• Engineer and select relevant features to optimize model performance.
• Develop and maintain scalable data pipelines for ingestion, transformation, and feature engineering.

• Select, implement, and fine-tune appropriate machine learning algorithms or Gen AI models.
• Train models, adjust hyperparameters, and optimize algorithms for performance.
• Apply advanced techniques such as transfer learning, ensemble learning, and data augmentation.
• Optimize models for resource-constrained environments (e.g., edge or IoT devices).

• Evaluate models using appropriate metrics and validate against test datasets.
• Conduct experiments (e.g., A/B testing) to assess model impact on business metrics.
  
  Benchmark different algorithms to select the most suitable approach.

• Collaborate with software engineers and Dev Ops teams to deploy machine learning models.
• Develop monitoring systems to track performance, detect anomalies, and implement updates.
• Ensure scalability, reliability, and performance in production environments.

• Stay updated with advancements in machine learning, AI frameworks, and tools.
• Explore new methodologies, algorithms, and frameworks to improve workflows.
• Participate in professional development activities, such as conferences and workshops.

• Ensure compliance with data privacy and security…