AI Consultant

Key Responsibilities

• 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.

Qualifications - Must-have

• 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, TensorFlow, Keras, and big data frameworks such as Spark.
• Experience working with both relational and NoSQL 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.

Qualifications - 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 get things done in mind.
• Show initiative in setting and meeting goals within an environment of managed change.
• Ability to work under pressure, responsible for multiple vital tasks in parallel.
• Commitment to quality.
• Availability to travel.