Artificial Intelligence Specialist

3 dni temu

Warszawa, Mazovia, Polska INFUSE Pełny etat

At INFUSE, we are dedicated to pushing the boundaries of innovation and technology.

We seek an experienced Data Scientist to lead our Research and Development (R&D) team in creating cutting-edge data-driven solutions.

Main Responsibilities:
  • Problem-Solving Approaches:
    • Analyze complex business problems, identify key variables, and develop strategies for solution implementation.
    • Develop and implement data analysis and decision-making automation technologies.
  • Data Preparation & Analysis:
    • Collect, clean, and structure data for further analysis.
    • Define necessary data requirements and collaborate with the team on data preparation.
  • Model Development & Machine Learning:
    • Design, build, and validate machine learning models to address business problems and improve product performance.
    • Develop predictive models, recommendation systems, and classification algorithms to solve complex challenges.
    • Optimize models, test them on real-world data, and assess the quality of solutions.
  • Reporting & Solution Integration:
    • Automate processes, including data collection and processing, optimization of existing processes, and acceleration of system performance.
    • Prepare reports with analysis results, including metrics to evaluate hypothesis effectiveness.
    • Work closely with product managers and business analysts, helping them understand potential limitations and risks during implementation.
  • Automation & AI Models:
    • Use generative and specialized neural networks to automate processes.
    • Optimize AI model prompts for better interaction.
    • Seek pre-built solutions for accelerating workflows while ensuring deep understanding of neural network fine-tuning.
  • Data-Driven Research & Innovation:
    • Collaborate with the R&D team to explore new research areas and apply data science techniques to support innovative product development.
    • Conduct experiments and hypothesis testing to validate assumptions and optimize models.
  • Collaboration & Cross-Functional Work:
    • Work closely with product managers, engineers, and other team members to align data-driven solutions with business goals.
    • Contribute to team knowledge-sharing, ensuring that data science best practices are adopted across the organization.
  • Continuous Learning & Innovation:
    • Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence.
    • Integrate new techniques into R&D projects and experiment with new tools and technologies.
Key Qualifications:
  • Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, Statistics, or a related field.
  • 3+ years of experience as a Data Scientist, with a strong focus on machine learning, statistical modeling, and data analysis.
  • Strong knowledge of data science techniques, including regression, clustering, classification, and time-series analysis.
  • Expertise in machine learning libraries and frameworks (e.g., TensorFlow, Scikit-learn, Keras, PyTorch).
  • Proficiency in programming languages such as Python, R, or similar, and experience with data manipulation and analysis libraries (e.g., Pandas, NumPy).
  • Familiarity with big data tools and platforms (e.g., Hadoop, Spark) is a plus.
  • Solid understanding of data visualization tools (e.g., Matplotlib, Tableau, PowerBI) to communicate insights effectively.
  • Strong analytical and problem-solving skills, with the ability to work with large and complex datasets.
  • Excellent communication skills, with the ability to explain complex data findings to non-technical stakeholders.
  • Ability to work independently, manage projects, and collaborate with cross-functional teams.

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