AI Engineer (GCP)

Addepto

7h•Hybrid

About The Position

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. With an exclusive focus on Artificial Intelligence and Big Data, Addepto helps organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth. The company's work extends beyond client engagements. Drawing from real-world challenges and insights, Addepto has developed its own product - ContextClue - and actively contributes open-source solutions to the AI community. As part of KMS Technology, a US-based global technology group, Addepto combines deep AI specialization with enterprise-scale delivery capabilities—enabling the partnership to move clients from AI experimentation to production impact, securely and at scale. As an AI Engineer (GCP), you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. One of the projects involves an LLM usage analytics and optimization platform, focusing on collecting and analyzing data related to LLM token usage, including forecasting, anomaly detection, and monitoring AI consumption patterns to improve operational efficiency and cost optimization on GCP.

Requirements

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.

Nice To Haves

Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.

Responsibilities

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.

Benefits

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.