Senior AI Consultant

Aizon; Barcelona; Hybrid; USD 100,000 - 130,000; Full time

Benefits offered by this job

Competitive salary

Equity and bonuses

Flexible schedule

Language training

Healthcare plans

Internal training programs

Career planning and salary reviews

Team-building activities

High-quality tech setup

Job summary

Medium is seeking a Senior Artificial Intelligence Consultant to drive business solutions using AI and Cloud Computing technologies. This role requires a strong academic background, preferably an MSc in a quantitative field, along with at least 4 years in a customer-facing position. The successful candidate will lead data analyses, assist with Machine Learning model training, and contribute to SaaS life cycles. Excellent compensation and unique growth opportunities in a collaborative work environment are offered.

Qualifications

• Minimum MSc in a quantitative field with expertise in Data Science and Machine Learning.
• 4+ years in a customer-facing position.
• Experience in pharma-manufacturing is a plus.
• Solid experience with Python, JavaScript, React.
• Familiarity with Machine Learning libraries and big data frameworks.
• Experience with relational and NoSQL databases.
• Proficient in English, both spoken and written.

Responsibilities

• Lead data analyses to solve business problems.
• Assist in training Machine Learning models for the Manufacturing Industry.
• Identify bottlenecks in ETL processes.
• Contribute to SaaS life cycles using Agile methodologies.
• Teach complex concepts to customers.
• Analyze customer data to model pharma manufacturing processes.
• Build AI-driven solutions for the company's customers.

Skills

Data Science

Machine Learning

Python

JavaScript

React

Big Data Frameworks

Education

MSc in Applied Mathematics, Statistics, Advanced Analytics

Tools

pandas

scikit-learn

TensorFlow

Keras

Spark

Job description

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.

Qualifications

• 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, TensorFlow, Keras, and big data frameworks such as Spark.
• Experience working with relational and NoSQL databases.
• Proficient in spoken and written English.

Nice‑Have

• 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.

The Human We’re Looking For

• 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.

What We Offer

• 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 [e-mail].