AI Consultant

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

Following our recent Series C round of growth funding, we are looking for ambitious new team members motivated to directly impact our future growth and success as we launch what we consider “Aizon 3.0”. 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 both industry and software investor firms like New Vale Capital, Atlantic Bridge, Danaher, Honeywell, Cross Link, and UnCork, with solid industry and technology expertise.

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, by positively contributing to the life science industry and deserving patients worldwide.

The Position:

Report to
: VP of Aizon Consulting Services / Team Lead AI Consultants.

Inspiring our customers through technology, using knowledge of Artificial Intelligence, Cloud Computing, and Software as a Service.

• Lead data analyses to solve business problems and help bring them to production by working with the Data Science and Solution Engineering teams.
• Assist in the training and fine-tuning of Machine Learning models for the Manufacturing Industry, including ML 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 using Agile methodologies.
• Help validate algorithm implementations to meet the rigorous standards of quality set for the Pharmaceutical Industry.
• Teach complex concepts to a mixed audience in training sessions for customers and third parties of the product.
• Analyze our customers  data (both in and outside of the Aizon platform) 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 build intelligent and reusable solutions for our customers and the product.

• Excellent educational background (minimum MSc) in Computer Science, Mathematics, Statistics, Advanced Analytics, or another similar quantitative field - Data Science and Machine Learning are highly beneficial.
• At least 4+ years in a similar position (customer-facing, participating in projects with clients).
• Solid experience with Python and a decent understanding of programming principles and techniques.
• Comfortable with Machine Learning related libraries such as pandas, scikit-learn, Tensor Flow, Keras, and big data frameworks such as Spark.
• Experience working with both relational and No
  
  SQL databases.
• Proficient in spoken and written English.
• Willing to comply with and follow all regulations required when working in a highly regulated environment, such as ISO standards and GMP regulations.

• Previous project management experience is advantageous.
• 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…