Data Scientist / ML Engineer

Important: Addepto may publish job opportunities on external job boards, but all applications are collected and processed through our official recruitment system.Please make sure that any further recruitment communication you receive comes from an official Addepto recruitment channel. If you receive a job offer, interview invitation, or recruitment email from an unofficial or unverified source, please be cautious, as it may not come from Addepto.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 own product - ContextClue - and actively contributes open-source solutions to the AI community. This commitment to transforming practical experience into scalable innovation has earned Addepto recognition by Forbes as one of the top 10 AI consulting companies worldwide.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 a Data Scientist / ML Engineer, 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:An AI-powered platform for industrial engineering, where you will build a backend system that utilizes LLMs to transform complex technical documents into a structured knowledge graph. This work enables our clients to leverage advanced features such as semantic search, automated documentation, and smarter knowledge management.Implementation, deployment, and ongoing development of an automotive data solution, this includes the processing and analysis of various document types, with a strong focus on digital file formats. The core functionality involves extracting key information and identifying complex relationships between disparate data sources. The solution also features seamless integration with the client’s existing infrastructure.Development of AI solutions to support software engineering, this involves building a system for advanced analysis of source code repositories, seeking relationships based on files and documentation. It also includes creating a system of grammatical rules for unknown programming languages and automatically generating training content based on these rules.🚀 In this position, you will:Develop, implement, and validate Machine Learning solutions, ensuring alignment with project objectives.Design AI solution architectures that meet complex business goals and drive innovation.Research, test and select the best tools and technologies as well as AL solutions to meet the business requirements.Understand clients’ needs and translate business problems into data science problems.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:At least 3+ years of commercial experience in designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, NLP, Computer Vision, GenAI)..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 (AWS or Azure).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.Experience in Machine Learning projects leadership and team mentoring is a plusBachelor’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.Practical experience with frontend frameworks (e.g., React, Node.js, Nest.js, Typescript) is nice to have.🎁 Discover our perks and 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 enjoy 20 fully paid days offParticipate 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.Curious about what a day in the life of our Data Science team looks like? We’ve got you covered! Get an insider’s look at the routines and activities that keep our AI team thriving. Meet Vova and discover what his typical day is like 🙂Are you interested in Addepto and would like to join us?Get in touch! We are looking forward to receiving your application. Would you like to know more about us?Visit our website (career page) and social media (Facebook, LinkedIn, Instagram).