Description
Job Title: AI and ML Engineer with Data Science Exposure
Location: Poland, Remote
Is it Permanent/ Contract: open for both
Key Responsibilities:
Develop and implement machine learning models to solve complex business problems.
Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions.
Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality outcomes.
Utilize data science techniques to analyze and interpret large datasets, providing actionable insights.
Work with cross-functional teams to integrate machine learning models into production systems.
Stay up-to-date with the latest advancements in AI, ML, and data science technologies and methodologies.
Document processes, methodologies, and results to ensure knowledge sharing and continuous improvement.
Qualifications:
Proven experience as an AI/ML Engineer with exposure to data science.
Strong programming skills in languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch,
Proficiency in data manipulation and analysis using tools like Pandas, NumPy, or SQL.
Excellent problem-solving skills and the ability to work independently and collaboratively.
Strong communication skills to convey complex technical concepts to non-technical stakeholders.
Location: Poland, Remote
Is it Permanent/ Contract: open for both
Key Responsibilities:
Develop and implement machine learning models to solve complex business problems.
Collaborate with data scientists and analysts to understand business requirements and translate them into technical solutions.
Perform data preprocessing, feature engineering, and model evaluation to ensure high-quality outcomes.
Utilize data science techniques to analyze and interpret large datasets, providing actionable insights.
Work with cross-functional teams to integrate machine learning models into production systems.
Stay up-to-date with the latest advancements in AI, ML, and data science technologies and methodologies.
Document processes, methodologies, and results to ensure knowledge sharing and continuous improvement.
Qualifications:
Proven experience as an AI/ML Engineer with exposure to data science.
Strong programming skills in languages such as Python, R, or Java.
Experience with machine learning frameworks and libraries such as TensorFlow, PyTorch,
Proficiency in data manipulation and analysis using tools like Pandas, NumPy, or SQL.
Excellent problem-solving skills and the ability to work independently and collaboratively.
Strong communication skills to convey complex technical concepts to non-technical stakeholders.