Lead Data Scientist & AI Engineer — Remote & Growth

Addepto; Poland; Hybrid; PLN 180,000 - 260,000; Full time

Benefits offered by this job

Remote work options

International project exposure

Career development & training

Conferences & certifications with Dat"

Well-being & medical packages

Job summary

Addepto is hiring a Lead Data Scientist / AI Engineer / Tech Lead to drive scalable AI solutions for top global clients. You will lead ML projects, architect AI systems, and mentor cross-functional teams, translating business problems into data science goals.

Ideal candidates have strong Python skills, cloud deployment experience (AWS/Azure), and a deep knowledge of ML workflows, MLOps, Kubernetes, and Docker. Fluent English and excellent communication are essential.

Qualifications

• 6+ years of commercial experience designing and implementing scalable AI solutions (ML, NLP, LLM, GenAI).
• Experience leading end-to-end ML projects and cross-functional teams.
• Proficiency in Python with ML libraries; production deployment know-how.

Responsibilities

• Lead development, implementation, and validation of ML solutions aligned with project goals.
• Design AI solution architectures to meet complex business needs.
• Research, test, and select tools and AI solutions for client requirements.

Skills

AI leadership

ML project leadership

Python programming

Cloud deployment

LLMs & GenAI

English proficiency

Client communication

Database knowledge

CI/CD (GitHub Actions)

MLOps

Kubernetes

Docker

Education

Bachelor’s or Master’s in CS/DS/Math/Physics

Tools

Python

AWS

Azure

GitHub Actions

Docker

Kubernetes

Databricks

Spark

Hadoop

Kafka

SQL

NoSQL (MongoDB)

Job description

Addepto is hiring a Lead Data Scientist / AI Engineer / Tech Lead to drive scalable AI solutions for top global clients. You will lead ML projects, architect AI systems, and mentor cross-functional teams, translating business problems into data science goals.

Ideal candidates have strong Python skills, cloud deployment experience (AWS/Azure), and a deep knowledge of ML workflows, MLOps, Kubernetes, and Docker. Fluent English and excellent communication are essential.