AI Engineer (GCP)

Addepto is a leading AI consulting and data engineering company that builds scalable, ROI-focused AI solutions for some of the world's largest enterprises and pioneering startups, including Rolls Royce, Continental, Porsche, ABB, and WGU. The company focuses exclusively on Artificial Intelligence and Big Data, helping organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. Addepto has developed its own product, ContextClue, and contributes open-source solutions to the AI community. It is recognized by Forbes as one of the top 10 AI consulting companies worldwide. Addepto is part of KMS Technology, a US-based global technology group, combining deep AI specialization with enterprise-scale delivery capabilities.

• 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.

• 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.

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