Lead the development, implementation, and validation of Machine Learning solutions, ensuring alignment with project objectives.
Lead the design of AI solution architectures that meet complex business goals and drive innovation.
Research, test and select the best tools and technologies as well as AI solutions to meet the business requirements.
Lead and mentor cross-functional teams, encouraging collaboration and helping everyone grow their skills.
Understand clients' needs and translate business problems into data science problems.
Architect and oversee the implementation of data pipelines and workflows, setting standards for data quality and security.
Coordinate with Data Engineering and Software Engineering teams to strategize and oversee the building of AI applications.
Present findings and recommendations clearly and concisely to stakeholders.
Prioritize, and control tasks within an Agile/Scrum framework, ensuring timely delivery.

6+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
Experience in leading end-to-end Machine Learning projects and managing cross-functional teams.
Proficiency in developing ML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge of ML libraries (Scikit-Learn, PyTorch/Tensorflow).
Proven expertise in deploying solutions in cloud environments
GCP.
Experience in collecting, analyzing, and monitoring LLM usage data, including token consumption, forecasting, anomaly detection, and optimization of AI workloads.
Knowledge in applying LLMs (semantic search, prompt engineering, multimodal embeddings, RAG).
High proficiency in English (C1 level).
Excellent communication skills and consulting experience with direct interaction with clients.
Working experience in SQL and NoSQL databases (MongoDB, Snowflake, Databricks).
Good knowledge of CI / CD principles (GitHub and GitHub Actions).
Familiarity with MLOps practices, Kubernetes and Docker.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.
Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.

Work in a supportive team of passionate enthusiasts of AI & Big Data.
Engage with top-tier global enterprises and cutting-edge startups on international projects.
Enjoy flexible work arrangements, allowing you to work remotely or from modern offices and coworking spaces.
Accelerate your professional growth through career paths, knowledge-sharing initiatives, language classes, and sponsored training or conferences, including a partnership with Databricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of 20 fully paid days off.
Participate in team-building events and utilize the integration budget.
Celebrate work anniversaries, birthdays, and milestones.
Access medical and sports packages, eye care, and well-being support services, including psychotherapy and coaching.
Get full work equipment for optimal productivity, including a laptop and other necessary devices.
With our backing, you can boost your personal brand by speaking at conferences, writing for our blog, or participating in meetups.
Experience a smooth onboarding with a dedicated buddy, and start your journey in our friendly, supportive, and autonomous culture.

AI Engineer – GCP

Key skills