Data Scientist / AI Engineer

Addepto

WorldwideremotePosted 1 month ago

Skill Required

Data-ScienceAI-EngineeringMachine-Learning-EngineeringAIMLOpsData-And-AI-EngineerData-+-AI-EngineerData-Science-EngineerAI-Data-EngineerAI-ML-Data-EngineerAI-Data-ScientistAI-ML-EngineerData-ML-EngineerSenior-AI-ML-Data-EngineerAI-EngineerData-ScientistData ScientistAI EngineerData Engineersoftware engineeringGenerative AIMachine Learningdata engineeringGitHub ActionsComputer Visionrelated fieldScikit-learnDatabricksEngineeringR ProgrammingTensorFlowKubernetesdevelopingData StructuresSnowflakedesigningsecuritybuildingPyTorchMongoDBAzurePythonHadoopFulltime

Key highlights

Required experience: 6+ years
Notable requirement: High proficiency in English (C1 level)
Key benefit: Flexible work arrangements (remote or office)
Key benefit: Sponsored training and certifications via Databricks and Anthropic

Role overview

Addepto is a leading AI consulting and data engineering company, part of the US-based global technology group KMS Technology. They build scalable, ROI-focused AI solutions for large enterprises and startups, leveraging a deep specialization in Artificial Intelligence and Big Data to move clients from experimentation to production impact. As a Lead Data Scientist / AI Engineer / Tech Lead, you will work with a team of technology experts on challenging projects across various industries. Current projects include an AI optimization engine for airport operation management using real-time data and an AWS-powered AI recommendation engine employing sophisticated LLMs for a leading innovation company.

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.

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 (preferably AWS and/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.
Bachelor’s or Master's degree in Computer Science, Data Science, Mathematics, Physics, or a related field.

Nice to have

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

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 development paths, knowledge-sharing initiatives, language classes, and sponsored training and conferences.
Benefit from partnerships with Databricks and Anthropic, which provide access to industry-leading training materials and certification programs.
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.