Your Role and Responsibilities:

As a Data Engineer with expertise in Machine Learning, you will apply Machine Learning concepts and techniques to address business challenges. You will leverage your skills to drive informed decision-making in the organization.

Your Primary Responsibilities Will Include:

- Develop Machine Learning Solutions: Apply Machine Learning concepts and techniques to address business challenges, interpreting statistical data and identifying relevant features to inform solution development.
- Evaluate Algorithm Performance: Choose appropriate algorithms and evaluate their performance using relevant metrics, ensuring that solutions meet business needs.
- Communicate Results: Clearly communicate the results of Machine Learning initiatives to stakeholders, enabling informed decision-making across the organization.
- Implement Machine Learning Techniques: Collaborate with stakeholders to implement Machine Learning techniques that drive business value, leveraging expertise to inform technical decisions.

Required Education:

Bachelor's Degree

Preferred Education:

Master's Degree

Required Technical and Skilled Expertise:

- Exposure to Machine Learning Concepts: Familiarity with applying Machine Learning concepts and techniques to address business challenges,



including interpreting statistical data and identifying relevant features.
- Algorithm Evaluation Skills: Experience working with algorithms and evaluating their performance using relevant metrics to ensure solutions meet business needs.
- Data Analysis and Interpretation: Exposure to interpreting statistical data to inform solution development and drive informed decision-making.
- Machine Learning Implementation: Experience working with stakeholders to implement Machine Learning techniques that drive business value.
- Technical Communication: Ability to clearly communicate the results of Machine Learning initiatives to stakeholders, enabling informed decision-making across the organization.

Preferred Technical and Professional Experience:

- Advanced Algorithm Knowledge: Exposure to a wide range of algorithms and techniques used in Machine Learning, including deep learning and natural language processing.
- Data Visualization Tools: Experience working with data visualization tools to effectively communicate insights and results to stakeholders.
- Specialized Machine Learning Libraries: Exposure to specialized Machine Learning libraries such as scikit-learn, TensorFlow, or PyTorch.

Years of Experience:5 - 8

📌 Data Engineer-Machine Learning (Bengaluru)
🏢 IBM
📍 Bengaluru