CrawlJobs Logo

Data Scientist / ML Engineer

addepto.com Logo

Addepto sp. z o.o.

Location Icon

Location:
Poland , Warsaw

Category Icon

Job Type Icon

Contract Type:
B2B

Salary Icon

Salary:

12600.00 - 28560.00 PLN / Month

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. 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.

Job Responsibility:

  • 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

Requirements:

  • 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

Nice to have:

  • Experience with Big Data technologies like Spark, Hadoop, and Kafka
  • Leadership and mentoring experience
What we offer:
  • 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 off
  • 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

Additional Information:

Job Posted:
January 10, 2026

Employment Type:
Fulltime
Work Type:
Remote work
Job Link Share:

Looking for more opportunities? Search for other job offers that match your skills and interests.

Briefcase Icon

Similar Jobs for Data Scientist / ML Engineer

Software Engineer - Data Scientist AI/ML

Hewlett Packard Enterprise is the global edge-to-cloud company advancing the way...
Location
Location
India , Bangalore
Salary
Salary:
Not provided
https://www.hpe.com/ Logo
Hewlett Packard Enterprise
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • BS/MS in Computer Science or Data Science, Electrical Engineering, Statistics, Applied Math or equivalent fields with strong mathematical background
  • General understanding of machine learning techniques and algorithms, including clustering, anomaly detection, optimization, Neural network, Graph ML, etc
  • Experience building data science-driven solutions including data collection, feature selection, model training, post-deployment validation
  • Strong hands-on coding skills (preferably in Python) processing large-scale data set and developing machine learning models
  • Familiar with one or more machine learning or statistical modeling tools such as Numpy, ScikitLearn, MLlib, Tensorflow
  • Works well in a team setting and is self-driven
Job Responsibility
Job Responsibility
  • Collaborate with team to understand feature, work with domain experts to identify relevant “signals” during feature engineering, deliver generic and performant ML solutions
  • Keep up to date with newest technology trends
  • Communicate results and ideas to key decision makers
  • Implement new statistical or other mathematical methodologies as needed for specific models or analysis
  • Optimize joint development efforts through appropriate database use and project design
What we offer
What we offer
  • Health & Wellbeing
  • Personal & Professional Development
  • Unconditional Inclusion
  • Fulltime
Read More
Arrow Right

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...
Location
Location
Poland , Warsaw
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
  • At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
  • Strong foundation in computer science principes and statistical methods
  • Strong experience with cloud technology (AWS or Azure)
  • Strong experience with creation of data ingestion pipeline and ET process
  • Strong knowledge of big data tool such as Spark, Databricks and Python
  • Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
  • Strong knowledge of Natural language processing (NPL) concepts
  • Strong knowledge of scrum practices and agile mindset
  • Strong Analytical and Problem-Solving Skills with attention to data quality and accuracy
Job Responsibility
Job Responsibility
  • Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
  • Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
  • Build and maintain feature stores, vector/embedding stores, and core data assets for ML
  • Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
  • Implement data quality checks, drift detection, and automated retraining processes
  • Optimise cost, latency, and performance across all AI/ML infrastructure
  • Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
  • Ensure AI/ML systems meet governance, security, and compliance requirements
  • Mentor teams and drive innovation across both agentic and classical ML engineering practices
  • Participate in team meetings and contribute to project planning and strategy discussions
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Pension: Awin offers access to an additional pension insurance to all employees in Germany
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
Read More
Arrow Right

Senior ML Data Engineer

As a Senior Data Engineer, you will play a pivotal role in our AI/ML workstream,...
Location
Location
Salary
Salary:
Not provided
awin.com Logo
Awin Global
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor or Master’s degree in data science, data engineering, Computer Science with focus on math and statistics / Master’s degree is preferred
  • At least 5 years experience as AI/ML data engineer undertaking above task and accountabilities
  • Strong foundation in computer science principes and statistical methods
  • Strong experience with cloud technology (AWS or Azure)
  • Strong experience with creation of data ingestion pipeline and ET process
  • Strong knowledge of big data tool such as Spark, Databricks and Python
  • Strong understanding of common machine learning techniques and frameworks (e.g. mlflow)
  • Strong knowledge of Natural language processing (NPL) concepts
  • Strong knowledge of scrum practices and agile mindset
Job Responsibility
Job Responsibility
  • Design and maintain scalable data pipelines and storage systems for both agentic and traditional ML workloads
  • Productionise LLM- and agent-based workflows, ensuring reliability, observability, and performance
  • Build and maintain feature stores, vector/embedding stores, and core data assets for ML
  • Develop and manage end-to-end traditional ML pipelines: data prep, training, validation, deployment, and monitoring
  • Implement data quality checks, drift detection, and automated retraining processes
  • Optimise cost, latency, and performance across all AI/ML infrastructure
  • Collaborate with data scientists and engineers to deliver production-ready ML and AI systems
  • Ensure AI/ML systems meet governance, security, and compliance requirements
  • Mentor teams and drive innovation across both agentic and classical ML engineering practices
  • Participate in team meetings and contribute to project planning and strategy discussions
What we offer
What we offer
  • Flexi-Week and Work-Life Balance: We prioritise your mental health and well-being, offering you a flexible four-day Flexi-Week at full pay and with no reduction to your annual holiday allowance. We also offer a variety of different paid special leaves as well as volunteer days
  • Remote Working Allowance: You will receive a monthly allowance to cover part of your running costs. In addition, we will support you in setting up your remote workspace appropriately
  • Pension: Awin offers access to an additional pension insurance to all employees in Germany
  • Flexi-Office: We offer an international culture and flexibility through our Flexi-Office and hybrid/remote work possibilities to work across Awin regions
  • Development: We’ve built our extensive training suite Awin Academy to cover a wide range of skills that nurture you professionally and personally, with trainings conveniently packaged together to support your overall development
  • Appreciation: Thank and reward colleagues by sending them a voucher through our peer-to-peer program
Read More
Arrow Right

Principal Data Scientist - Machine Learning Engineering

Atlassian is looking for a Principal Data Scientist to uncover valuable insights...
Location
Location
United States , San Francisco
Salary
Salary:
175100.00 - 233400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Experience applying your Data Science skills to identify and lead projects which have had impact on business strategy and performance
  • 8+ years of experience in Data Science or related fields. (Preferred - 10+ years experience with a post-graduate degree in a quantitative discipline like Statistics, Mathematics, Econometrics, Computer science)
  • Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems and a strong sense of when to apply them to the problem at hand
  • Experience in managing ML projects end-to-end including deployment and monitoring
  • Expertise in SQL and a high level of proficiency in another data science programming language (e.g Python, R) with expertise in libraries like Pandas, Numpy, Scikit-learn etc.
  • A very high bar for output quality, while balancing 'having something now' vs. 'perfection in the future'
  • Comfort explaining complex concepts to diverse audiences and creating compelling stories for non-data experts
  • Proficiency in visualization tools (e.g. Streamlit, Tableau)
Job Responsibility
Job Responsibility
  • Influence strategy & important decisions around customer friction by surfacing data driven insights
  • Define, set and report on department level metrics or KRs to the CSS Executive team
  • Build and implement measurement frameworks, machine learning models and NLP/LLM tooling to accelerate Atlassian’s growth and improve product quality
  • Foster a world-class Data Science culture by leading training on technical concepts, driving continuous learning and mentoring Data Scientists on the team
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • Fulltime
Read More
Arrow Right

Principal Data Scientist - Machine Learning Engineering

We are looking for a Principal Machine Learning Data Scientist to develop and im...
Location
Location
United States , Remote
Salary
Salary:
145300.00 - 233400.00 USD / Year
https://www.atlassian.com Logo
Atlassian
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • 8+ years of experience in Data Science or related fields
  • Expertise in applying a broad variety of ML methods including NLP and LLM to solve business problems using large amounts of data
  • Proven track record of delivering ML projects end-to-end, including designing, development, deployment and monitoring
  • Ability to communicate and explain data science concepts to diverse audiences, craft a compelling story
  • Expertise in programming languages such as Python or Java with and the ability to write performant code, familiarity with SQL, knowledge of Spark and cloud data environments (e.g. AWS, Databricks)
  • Agile development mindset, appreciating the benefit of constant iteration and improvement
Job Responsibility
Job Responsibility
  • Develop and implement our machine learning algorithms
  • Train sophisticated models
  • Collaborate with our technical and non-technical partner teams
  • Expand our AI/ML functionality in partnership with our CSS and/or Sales organization
What we offer
What we offer
  • health coverage
  • paid volunteer days
  • wellness resources
  • bonuses
  • commissions
  • equity
  • Fulltime
Read More
Arrow Right

Junior Data Scientist / Machine Learning Engineer

As a Junior Data Scientist / Machine Learning Engineer at Red Hibbert Group, you...
Location
Location
United States
Salary
Salary:
25.00 USD / Hour
redhibbert.com Logo
Red Hibbert Group
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Bachelor's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field
  • Strong programming skills in Python and proficiency with machine learning frameworks (TensorFlow, PyTorch, scikit-learn)
  • Solid experience with data manipulation libraries (Pandas, NumPy) and data visualization tools (Matplotlib, Seaborn)
  • Strong understanding of statistical analysis and machine learning concepts
  • 0-2 years of experience in machine learning, deep learning, or data science
  • Excellent analytical and problem-solving skills with strong communication abilities are required
Job Responsibility
Job Responsibility
  • Developing and implementing machine learning models
  • Conducting data analysis
  • Collaborating with cross-functional teams
  • Working on cutting-edge AI/ML projects, focusing on data preprocessing, feature engineering, model development, and evaluation
  • Developing AI-driven solutions for our clients
  • Conducting research to improve existing ML systems
  • Working closely with senior team members to deliver high-quality solutions
Read More
Arrow Right

Data Platform Engineer

Data Platform Engineers at Adyen build the foundational layer of tooling and pro...
Location
Location
Netherlands , Amsterdam
Salary
Salary:
Not provided
adyen.com Logo
Adyen
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Fluency in Python
  • Experience developing and maintaining distributed data and compute systems like Spark, Trino, Druid, etc
  • Experience developing and maintaining DevOps pipelines and development ecosystems
  • Experience developing and maintaining real-time and batch data pipelines (via Kafka, Spark streaming)
  • Experience with Kubernetes ecosystem (k8s, docker), and/or Hadoop ecosystems (Hive, Yarn, HDFS, Kerberos)
  • Team player with strong communication skills
  • Ability to work closely with diverse stakeholders
Job Responsibility
Job Responsibility
  • Develop and maintain scalable and high performance big data platforms
  • Work with distributed systems in all shapes and flavors (databases, filesystems, compute, etc.)
  • Identify opportunities to improve continuous release and deployment environments
  • Build or deploy tools to enhance data discoverability through the collection and presentation of metadata
  • Introduce and extend tools to enhance the quality of our data, platform-wide
  • Explore and introduce technologies and practices to reduce the time to insight for analysts and data scientists
  • Develop streaming processing applications and frameworks
  • Build the foundational layer of tooling and processes for on-premise Big Data Platforms
  • Collaborate with data engineers and ML scientists and engineers to build and roll-out tools
  • Develop and operate multiple big data platforms
Read More
Arrow Right

Senior Data Engineer

Fospha is dedicated to building the world's most powerful measurement solution f...
Location
Location
India , Mumbai
Salary
Salary:
Not provided
blenheimchalcot.com Logo
Blenheim Chalcot
Expiration Date
Until further notice
Flip Icon
Requirements
Requirements
  • Excellent knowledge of PostgreSQL and SQL technologies
  • Fluent in Python
  • Understanding of data architecture, pipelines and ELT flows/ technology/ methodologies
  • Understanding of agile methodologies and practices
  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field
Job Responsibility
Job Responsibility
  • Implement and maintain ELT (Extract, Load, Transform) processes using scalable data pipelines and data architecture
  • Collaborate with cross-functional teams to understand data requirements and deliver effective solutions
  • Ensure data integrity and quality across various data sources
  • Support data-driven decision-making by providing clean, reliable, and timely data
  • Define the standards for high-quality data for Data Science and Analytics use-cases and help shape the data roadmap for the domain
  • Design, develop, and maintain the data models used by ML Engineers, Data Analysts and Data Scientists to access data
  • Conduct exploratory data analysis to uncover data patterns and trends
  • Identify opportunities for process improvement and drive continuous improvement in data operations
  • Stay updated on industry trends, technologies, and best practices in data engineering
What we offer
What we offer
  • Competitive salary
  • Be part of a leading global venture builder, Blenheim Chalcot, and learn from the incredible talent in BC
  • Be exposed to the right mix of challenges and learning and development opportunities
  • Flexible Benefits including Private Medical and Dental, Gym Subsidiaries, Life Assurance, Pension scheme etc.
  • 25 days of paid holiday + your birthday off
  • Free snacks in the office
  • Quarterly team socials
  • Fulltime
Read More
Arrow Right