Data Engineer-Machine Learning
IBM
Bengaluru, Karnataka, India3h agovia LinkedIn
This job at a glance
- Who can apply
- Freshers · Master's degree
- Must know
- StatisticsData analysis
- Nice to have
- Machine learningData structures & algorithmsStakeholder managementData visualization
- Work
- On-site in Bengaluru
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis57%Statistics17%Machine learning4%of 23 similar fresher jobs posted in India this week
- Listed
- 11 Nov 2026 · still open
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About the Role
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.
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 and drive informed decision-making.
- Communicate Results: Clearly communicate the results of Machine Learning initiatives to stakeholders, providing actionable insights that inform business decisions.
- Implement Machine Learning Techniques: Collaborate with stakeholders to implement Machine Learning techniques that drive business value, selecting and applying relevant methodologies to achieve desired outcomes.
Requirements & Tech Stack
Preferred Education
- Master's Degree
Required Technical And Professional 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 Development Experience: Experience working with algorithms, including choosing appropriate algorithms and evaluating their performance using relevant metrics.
- Data Analysis Skills: Ability to interpret statistical data and identify relevant features to inform solution development.
- Machine Learning Implementation: Exposure to implementing Machine Learning techniques, including collaborating with stakeholders to select and apply relevant methodologies.
- Technical Communication: Experience communicating complex technical results to stakeholders, providing actionable insights that inform business decisions.
Preferred Technical And Professional Experience
- Advanced Algorithm Development: Experience working with complex algorithms, including evaluating their performance using relevant metrics and fine-tuning for optimal results.
- Data Visualization Techniques: Exposure to data visualization tools and techniques, enabling effective communication of Machine Learning results to stakeholders.
- Specialized Machine Learning Tools: Familiarity with specialized Machine Learning tools and technologies, such as those used for natural language processing or computer vision.