AI Consultant Intern

Who we are

Aizon is a software-as-a-service provider that transforms manufacturing operations in life science industries using advanced analytics and artificial intelligence.

We are a fast-growing company entering an exciting new stage of expansion, and we are looking for ambitious new team members who are motivated to directly impact our growth and success. If you want your work to make a visible difference as we scale, this is the place to do it.

Aizon is helping pharma manufacturers and CDMOs make better decisions in GMP operations.

• We help operations leaders and engineers avoid endless cycles of chasing data in disparate and heavy-handed systems and rapidly understand how to run their manufacturing processes better.
• We’re solving multiple problems in GMP operations that cost manufacturers millions yearly while accelerating their digital maturity journey. One of our unique capabilities is the ability to operationalize the use of predictive AI models in real time without a big data science staff.
• We're backed by leading industry and software investor firms with solid industry and technology expertise, giving us the foundation to grow with confidence.

Our mission is to improve global health by optimizing how medicines are manufactured so that pharma and biotech companies can provide patients worldwide with the right medicine at the right time and price.

Join us if you are motivated to directly impact our company's success and growth path forward and, more importantly, to positively contribute to the life science industry and deserving patients worldwide.

The Position

Reporting to an ACS AI Team Lead, the Artificial Intelligence Intern will inspire our customers through technology, using their growing knowledge of Artificial Intelligence, Cloud Computing, and Software as a Service.

Responsibilities

• Collaborate with AI and Data Consulting teams to analyze complex data, solve client business problems, and deploy scalable solutions into production.
• Being a great business influence, linearly linked to the Aizon platform.
• Generalize learnings from our AI solutions to help develop new AI-based Native Apps of the Product.
• Assist in the training and fine-tuning of Machine Learning models for the Manufacturing Industry, including supervised/unsupervised models, probabilistic models, linear models, text classification, computer vision, and time-series models.
• Identify bottlenecks in the ETL pipelines and recommend robust software solutions at scale.
• Contribute to a SaaS life cycle through initial prototyping to enterprise-quality testing and final implementations by using Agile methodologies.
• Help to validate algorithm implementations in order to meet the rigorous standards of quality set for the Pharmaceutical Industry.
• Analyze our customers' data in order to model the behavior of a wide variety of pharma manufacturing processes.
• Build AI-driven solutions that fit the needs of the Company's customers, using the tools, algorithms, and software provided by the product developed by our Company.
• Help us to build intelligent and reusable solutions for our customers and the product.

Knowledge and Experience

Must have

• Educational background (completed or in progress) in Computer Science, Mathematics, Statistics, Advanced Analytics, or another similar quantitative field - Data Science and Machine Learning are highly beneficial.
• Intermediate experience with Python and a general understanding of programming principles and techniques.
• Comfortable with Machine Learning-related libraries such as pandas, scikit-learn, TensorFlow, and Keras.
• Proficient in spoken and written English.

Nice to have

• Understanding of JavaScript React.
• Experience working with both relational and NoSQL databases.
• Sound knowledge of various operating systems and databases.
• Experience in data visualization and dashboard creation tools.
• Knowledge of Biotechnological Processes (e.g., fermentation, chromatography, viral inactivation) and Regulations.
• Experience in manufacturing (not laboratory) and functional knowledge of equipment such as bioreactors, sterilizers, analyzers, scales, and related SW.

Skills

• Ability to understand business requirements and translate them into technical requirements.
• Capable of working with a dynamic product that is ever-changing and evolving rapidly.
• Strong analytical and creative problem-solving skills.
• Ability to take smart risks and champion new ideas.
• Team player, collaborative, innovative, get things done mind.
• Show initiative in setting and meeting goals within an environment of managed change.
• Ability to work under pressure, responsible for multiple important tasks in parallel.
• Commitment to quality.

What We Offer

• Unique opportunity to join our company as it scales with excellent market traction and huge potential to grow globally.
• Competitive salary (according to your experience/skills).
• Internal training and certifications plan.
• Career plan.
• Team-building activities.
• Top-notch "tech pack" – We are Mac lovers!
• An open and collaborative work environment with a young and dynamic team and a very international culture.
• An opportunity for personal and professional growth, supported by stellar investors and the exciting challenges that come with joining a company at the start of its growth trajectory.
• Join our team and significantly impact our company's growth and success as we shake the pharmaceutical manufacturing industry. Apply now and be part of our journey to transform the way pharmaceutical companies operate.

We are dedicated to maintaining an inclusive workplace in which all employees are treated with respect and are able to contribute meaningfully to society. Our organization brings together professionals from diverse backgrounds, representing more than 28 nationalities, and we take pride in being an equal‑opportunity employer.

Employment decisions are based exclusively on qualifications, merit, and business requirements. Applicants who require assistance or accommodation due to a disability may contact us at Ver el correo electrónico en click.appcast.io.