About the company
At SAP, we enable you to bring out your best. Our company culture is focused on collaboration and a shared passion to help the world run better. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from.
Qualifications: Bachelors/Masters
Experience: Freshers
Job Location: Bangalore, Karnataka
Job Summary
Key Responsibilities:
- Assist in collecting, cleaning, and preprocessing data for analysis.
- Develop, train, and optimize machine learning models under the guidance of senior team members.
- Conduct exploratory data analysis (EDA) to identify trends and patterns in data.
- Collaborate with cross-functional teams to understand business objectives and translate them into data-driven solutions.
- Implement and maintain data pipelines to support machine learning model deployment.
- Assist in the evaluation and testing of models to ensure accuracy and reliability.
- Document processes, methodologies, and results for knowledge sharing and future reference.
Qualifications:
- Bachelor’s degree in computer science, Data Science, Statistics, Mathematics, or a related field.
- Familiarity with programming languages such as Python or R.
- Basic understanding of machine learning algorithms and concepts.
- Experience with data manipulation and analysis using libraries such as pandas, NumPy, or similar.
- Knowledge of data visualization tools such as Matplotlib, Seaborn, or Tableau.
- Exposure to SQL and experience with database querying is a plus.
- Strong problem-solving skills and an analytical mindset.
- Ability to work in a collaborative team environment.
- Eagerness to learn and adapt to new tools and technologies.
Preferred Skills:
- Exposure to cloud platforms like AWS, Google Cloud, or Azure.
- Understanding of version control systems like Git.
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn.
- Knowledge of big data tools such as Hadoop or Spark.
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