Data Engineer-Machine Learning
IBM · Posted Oct 12
Hybrid cloud, artificial intelligence, enterprise software, quantum computing, and IT consulting services
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About the role
IBM Consulting works with leading companies across industries to shape their hybrid cloud and AI journeys, drawing on IBM technology, Red Hat, and strategic partners. This role sits within Software Engineering in Bangalore and focuses on applying Machine Learning concepts and techniques to business problems. The Data Engineer will develop ML solutions, evaluate algorithm performance, implement ML techniques with stakeholders, and communicate results to drive informed decision-making.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About IBM
International Business Machines Corporation (IBM) is a global technology and consulting company that provides hybrid cloud, artificial intelligence, and enterprise infrastructure solutions. Operating in over 175 countries, IBM helps businesses across industries modernize operations, secure data, and drive digital transformation through platforms like watsonx and Red Hat OpenShift. Founded over a century ago, the company remains a pioneer in high-performance computing, enterprise automation, and quantum technology.
- Industry
- Information Technology
- Company size
- 260,000+ employees
- Founded
- June 16, 1911
- Location
- Armonk, New York, USA
- Funding stage
- Public Company
Funding
Public Company · $3.5B raised
- ·Post Ipo Debt$150M
Leadership
Chairman, President and Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President, Software and Chief Commercial Officer
Senior Vice President, IBM Consulting
Senior Vice President, Marketing and Communications
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