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Data Scientist / ML Engineer
Odpowiedz na ogłoszenietechnologies-expected :
- Machine Learning
- Data Science
- AI
- Python
- NLP
- Deep Learning
- Cloud
- MLOps
- Computer Vision
- GenAI
- LLM
technologies-optional :
- TensorFlow
- Spark
- Kubernetes
- MLflow
- CI/CD
- AWS
- PyTorch
- Docker
- LLM
- RAG
- LangChain
- LlamaIndex
- OpenAI
- Huggingface
about-project :
- 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:
- GenAI knowledge retrieval platform for the leading automotive company. This project involves the creation of an Azure-backed platform that leverages cutting-edge LLMs to deliver powerful insights from an enterprise-scale knowledge base.
- AI recommendation engine for the leading innovation company. This project involves the design of AWS-powered solutions to provide domain-specific recommendations by employing sophisticated LLMs.
- 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.
responsibilities :
- Develop, implement, and validate Machine Learning solutions tailored to specific project requirements.
- Understand clients’ needs and translate business problems into data science problems.
- Design scalable AI solution architectures
- Develop data pipelines and workflows, ensuring the highest standards of data quality and security.
- Collaborate with Data Engineering and Software Engineering teams to build and deploy AI applications.
- Present findings and recommendations clearly and concisely to stakeholders.
- Effectively plan tasks within an Agile/Scrum framework.
requirements-expected :
- 4+ 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.
- Master’s or Ph. D. in Computer Science, Data Science, Mathematics, Physics, or a related field.
offered :
- 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.
- 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.
benefits :
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- remote work opportunities
- fruits
- integration events
- no dress code
- video games at work
- coffee / tea
- drinks
- parking space for employees
- birthday celebration
- employee referral program
- dofinansowanie do okularów korekcyjnych
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