Data Scientist / ML Engineer

Addepto; Remote; PLN 240,000 - 320,000; Full time

Job summary

A leading AI consulting firm seeks a Data Scientist / ML Engineer to develop scalable AI solutions. The role involves implementing Machine Learning projects, collaborating with engineering teams, and communicating findings to stakeholders. Candidates should have strong Python skills, cloud deployment experience, and a background in AI technologies. This position offers flexible remote work and numerous perks to enhance professional development.

Benefits

Flexible work arrangements

Career paths and training

Paid time off

Medical and sports packages

Team-building events

Qualifications

• Proven commercial experience designing and implementing scalable AI solutions.
• Proficiency in developing ML algorithms from scratch to production deployment.
• Strong programming skills in Python: writing clean code, OOP design.

Responsibilities

• Lead the development, implementation, and validation of Machine Learning solutions.
• Lead the design of AI solution architectures that meet complex business goals.
• Research, test and select the best tools and technologies.

Skills

AI solutions design

Machine Learning algorithms

Python programming

Cloud deployment

LLMs knowledge

English proficiency

SQL and NoSQL databases

CI/CD principles

MLOps practices

Leadership experience

Education

Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Physics, or related field

Tools

Scikit-Learn

PyTorch

Tensorflow

AWS

Azure

SQL databases (MongoDB, Snowflake, Databricks)

Docker

Kubernetes

Spark

Hadoop

Kafka

Job description

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, including Rolls Royce, Continental, Porsche, ABB, and WGU. With our exclusive focus on Artificial Intelligence and Big Data, we help organizations unlock the full potential of their data through systems designed for measurable business impact and long-term growth.

Beyond client projects, we have developed our own product offerings born from real-life client insights and challenges. We are also actively releasing open-source solutions to the community, transforming practical experience into tools that benefit the broader AI ecosystem. This commitment to scalable innovation, proven ROI delivery, and knowledge sharing has earned us recognition by Forbes as one of the top 10 AI consulting companies worldwide.

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:

• 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.

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-sharinginitiatives,languageclasses, and sponsoredtrainingorconferences, including a partnership withDatabricks, which offers industry-leading training materials and certifications.
• Choose from various employment options: B2B, employment contracts, or contracts of mandate.
• Make use of 20 fully paid days off available for B2B contractors and individuals under contracts of mandate.
• 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.

In this position, you will:

• 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.
• 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:

• Proven commercial experience designing and implementing scalable AI solutions (Machine Learning, Predictive Modeling, Optimization, LLM, 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 (AI agents, 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.
• Experience with Big Data technologies like Spark, Hadoop, and Kafka is a plus.
• Leadership and mentoring experience is highly desirable.

Addepto provides an environment where I can actively contribute to pioneering projects at the forefront of AI and data innovation, shaping the future landscape of technology. It's not crowded with excessive procedures, which streamlines our workflow and enhances productivity. The team vibe here is super friendly, and we're always bouncing ideas off each other. It's not just a job - it's a place where we're all working together to make cool things happen in data science.

More than work

Autonomy at work

Real impact on the company

Knowledge sharing & trainings

Team-building events

High standard equipment

Medical package

Multisport

Language classes

Referral program

EyeCare

Paid time off

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