Senior AI Consultant
Listed on 2026-05-18
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IT/Tech
Data Scientist, Data Analyst, Machine Learning/ ML Engineer
The Position
Report to: VP of Aizon Consulting Services.
The Senior Artificial Intelligence Consultant will inspire our customers through technology, using their growing knowledge of Artificial Intelligence, Cloud Computing, and Software as a Service.
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 using Agile methodologies.
- Validate algorithm implementations to meet rigorous quality standards set for the Pharmaceutical Industry.
- Teach complex concepts to a mixed audience in training sessions for customers and third parties of the product.
- Analyze customers’ data (both in and outside of the Aizon platform) 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.
- Create intelligent and reusable solutions for customers and the product.
- 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 strong academic performance is preferred.
- At least 4+ years in a similar customer‑facing position, participating in projects with clients.
- Experience in pharma‑manufacturing, including knowledge of optimizing pharmaceutical processes.
- Solid experience with Python, JavaScript, React, and a good understanding of programming principles and techniques.
- Comfortable with Machine Learning libraries such as pandas, scikit‑learn, Tensor Flow, Keras, and big data frameworks such as Spark.
- Experience working with relational and No
SQL databases. - Proficient in spoken and written English.
- Previous project management experience.
- 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 software.
- Ability to understand business requirements and translate them into technical requirements.
- Familiar with ROI selling concepts.
- Accustomed to working with Tech Sales teams and 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.
- Initiative in setting and meeting goals within an environment of managed change.
- Capacity to work under pressure and manage multiple important tasks in parallel.
- Commitment to quality.
- Availability to travel.
- Unique opportunity to join a growing company with excellent market traction and global growth potential.
- Competitive salary according to experience and skills.
- Equity, bonuses, and generous stock options.
- Flexible schedule – intensive Fridays.
- Language one‑to‑one training courses.
- Competitive healthcare plans, including medical and dental insurance.
- Internal training and certification programs.
- Flexible remuneration options.
- Career planning and scheduled salary reviews.
- Team‑building activities.
- Top‑notch technology set‑up; we support Mac users.
- An open and collaborative work environment with a young, dynamic, and international team.
- Opportunity for personal and professional growth supported by strong investors and exciting challenges at the start of a growth trajectory.
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 jobs.
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