Data Scientist / AI Engineer
🌏 Worldwide
TensorFlow
Consulting
Management
Python
Docker
Kubernetes
AWS
Azure
MongoDB
Snowflake
Hadoop
GitHub
Machine Learning
Design
Project Management
NoSQL
Data Science
SQL
Data Scientist / AI Engineer
from 🌏 Worldwide
Addepto is a leading AI consulting (https://addepto.com/ai-consulting/) and data engineering (https://addepto.com/data-engineering-services/) 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. 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 ownproduct - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition byForbes as one of the top 10 AI consulting companies worldwide.
As part ofKMS 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 aLead Data Scientist / AI Engineer / Tech Lead, you will have the exciting opportunity to work with a team of technology experts on challenging projects across various industries, leveraging cutting-edge technologies. Here are some of the projects we are seeking talented individuals to join:
AI optimization engine for airport operation management.This project involves creating an AI-driven optimization engine to streamline airport operations, using real-time data from sources like radar, air traffic, and passenger information.
AI recommendation engine for the leading innovation company.This project involves creation of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
🚀 Your main 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.
🎯 What you’ll need to succeed in this role:
6+ years of commercial experience in designing and implementing scalableAIsolutions(Machine Learning, Predictive Modeling, Optimization, NLP, LLM, Computer Vision, GenAI).
Experience inleading end-to-end Machine Learning projects andmanaging cross-functional teams.
Proficiency in developingML algorithms from scratch to production deployment.
Strong programming skills in Python: writing clean code, OOP design, extensive knowledge ofML libraries (Scikit-Learn, PyTorch/Tensorflow).
Proven expertise in deploying solutions in cloud environments (preferablyAWSand/orAzure).
Knowledge in applyingLLMs(semantic search, prompt engineering, multimodal embeddings, RAG).
High proficiency inEnglish (C1 level).
Excellent communication skills and consulting experience with direct interaction with clients.
Working experience inSQL andNoSQL databases (MongoDB, Snowflake, Databricks).
Good knowledge ofCI/CD principles (GitHub and GitHub Actions).
Familiarity withMLOps practices,Kubernetes andDocker.
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.
🎁 Discover our perks & 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 towork remotely or from modern offices and coworking spaces.
Accelerate your professional growth throughcareer paths,knowledge-sharing initiatives,language classes, and sponsored training orconferences, including a partnership withDatabricks, which offers industry-leading training materials and certifications.
Choose your preferred form of cooperation: B2B or a contract of mandate, and make use of20 fully paid days off.
Participate in team-building events and utilize theintegration budget.
Celebratework anniversaries, birthdays,and milestones.
Accessmedicaland 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 canboostyourpersonal 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.













