Senior AI Consultant

Key Responsibilities:

• Lead data analyses to solve business problems and help bring them to production by working with the Data Science and Engineering teams.

• 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.

• 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 to build intelligent and reusable solutions for our customers and the product.

Qualifications

Must-have

• Excellent academic background (minimum MSc) in Applied Mathematics, Statistics, Advanced Analytics, or a related quantitative field. Expertise in Data Science and Machine Learning is highly desirable. A degree from a reputable US university and top academic performance are strongly preferred.

• At least 4+ years in a similar position (customer-facing, participating in projects with clients).

• Experience in pharma-manufacturing, including knowledge in optimizing pharmaceutical processes.

• Solid experience with Python, JavaScript, React, and a decent understanding of programming principles and techniques.

• Comfortable with Machine Learning related libraries such as pandas, scikit-learn, TensorFlow, Keras, and big data frameworks such as Spark.

• Experience working with both relational and NoSQL databases.

• Proficient in spoken and written English.

 

Nice-have

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 functional knowledge of equipment such as bioreactors, sterilizers, analyzers, scales, and related SW.

The Human We’re Looking For:

Ability to understand business requirements and translate them into technical requirements.

Familiar with ROI selling concept.

Accustomed to working with Tech Sales teams as well as with Solutions Architects.

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, and a get-things-done mindset.

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.

Availability to travel.