Senior Data Scientist/ AI Engineer @ - Budapest, Magyarország - SquareOne

Leírás

Data Scientist/ AI Engineer

Are you passionate about leveraging data to drive innovation and solve complex business challenges? Join our client's dynamic team and embark on an exciting journey of delivering cutting-edge data solutions to our diverse range of clients worldwide.

Requirements:

• Bachelor's or Master's degree in Mathematics, Computer Science, Physics, Operational Research, or related field.
• Proven track record of successfully executing data science solutions in commercial settings.
• Proficiency in data analysis tools and technologies such as SQL, Python, and PySpark.
• Knowledge of tools and programming languages for analyzing large datasets (e.g., Spark, Data Bricks, Pig).
• Familiarity with genAI, LLMs (e.g., GPT, Mistral, LLama2, Phi), orchestrators, vector storages, and inference platforms.
• Good understanding of SQL and NoSQL databases.
• Eagerness to learn new tools and software solutions.
• Excellent command of English with strong interpersonal and communication skills.
• Focus on teamwork and leadership abilities.
• Willingness to occasionally travel to meet client needs.

Additional Requirements (nice to have):

• Experience working in a global/multinational team environment.
• Hands-on experience with cloud services such as Azure, AWS, or GCP.
• Up-to-date knowledge of current trends and advancements in the data science field.
• Previous experience in deep learning, computer vision, and/or geo analytics is a plus.
• Familiarity with agile methodologies like Scrum or Kanban.
• Interest in behavioral economics and/or data science.
• Github profile.

Data Scientist/ AI Engineer

Are you passionate about leveraging data to drive innovation and solve complex business challenges? Join our client's dynamic team and embark on an exciting journey of delivering cutting-edge data solutions to our diverse range of clients worldwide.

,[Utilize your expertise in quantitative business analysis, data mining, and AI to uncover valuable insights from data. , Deploy machine learning models into production environments in collaboration with data engineers. , Ensure seamless integration of machine learning models with data pipelines. , Work closely with product teams to design and implement data-driven solutions. , Collaborate with Applications and Products development teams to operationalize machine learning models in final products. ] Requirements: AI, SQL, Python, PySpark, Spark, NoSQL, LLM, Cloud, Deep learning, Azure, AWS, GCP, Kanban, GitHub