Machine Learning Engineer

1 dzień temu

Warszawa, Mazovia, Polska INFUSE Pełny etat

Are you passionate about driving business growth through data-driven insights?

INFUSE is seeking an accomplished Data Scientist to spearhead our Research and Development (R&D) efforts.

Main Responsibilities:
  • Data Science Strategy:
    • Develop and implement a comprehensive data science strategy to drive business growth and innovation.
    • Analyze complex business problems, identify key variables, and develop strategies for solution implementation.
  • 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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