AI Solutions Engineer
HP Inc. (company site, opens in a new tab)4–7 yrsBengaluruOn-siteDirect career pageEst. 18–35 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Develop, deploy, and maintain machine learning models and pipelines ensuring scalability, reliability, and efficiency in production.
- Research, experiment with, and optimize ML algorithms and hyperparameters to maximize performance and generalization.
- Collaborate with CI/CD, research, and engineering teams to integrate automated model training and seamless deployment workflows.
Minimum Requirements
- Bachelor’s or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or related field, or equivalent work experience.
- Typically 4-7 years of relevant work experience in machine learning, programming languages, algorithms, or related domains.
- Proficiency with ML frameworks and tools such as Python, PyTorch, TensorFlow, Scikit-learn, and cloud platforms like AWS or Azure.
- Work Experience Required: 4-7 years as explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in end-to-end ML system design, deployment, and lifecycle management in production environments.
- Proven ability to lead or direct team activities in ML projects with moderate complexity and cross-team impact.
- Strong background in programming, statistical modeling, and automation within Agile and cloud-based development ecosystems.