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Bengaluru · On-site · 4-7 Yrs · Oct 8
1 views
6 open roles0 posted in 7d6 in 30d
Hiring: Engineering
Job description
Overview
AI Solutions Engineer
Responsibilities
- Develops and programs integrated software solutions, especially in support of the development, deployment and life cycle of machine learning models.
- Trains and validates models using appropriate evaluation metrics and techniques.
- Optimizes and tunes hyperparameters to improve model performance and generalization.
- Deploys machine learning models to production environments, ensuring scalability, reliability, and efficiency.
- Monitors and maintains deployed models, making necessary updates to adapt to changing data or requirements.
- Spearheads the design of ML systems, experiments with ML algorithms, and regularly trains systems for maximum efficiency.
- Designs, develops, tests, and maintains ML pipelines that efficiently produce scalable models.
- Cooperates with CI/CD teams to ensure seamless deployment of models to production.
- Partners with research and engineering teams to enhance automated model training techniques.
- Applies machine learning and statistical modeling techniques to business or research problems.
Qualifications
- Typically has 4-7 years of work experience, preferably in computer programming languages, machine learning, algorithms, statistical methods, or a related field or an advanced degree with 3-5 years of work experience.
- AWS Certified Machine Learning Specialty
- Agile Methodology
- Algorithms
- Amazon Web Services
- Apache Spark
- Artificial Intelligence
- Automation
- Big Data
- C++ (Programming Language)
- Computer Science
- Data Science
- Deep Learning
- Java (Programming Language)
- Machine Learning
- Microsoft Azure
- Natural Language Processing
- Python (Programming Language)
- PyTorch (Machine Learning Library)
- Scikit-learn (Machine Learning Library)
- Software Engineering
- TensorFlow
- Effective Communication
- Results Orientation
- Learning Agility
- Digital Fluency
- Customer Centricity
- Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.
- Responds to moderately complex issues within established guidelines.
- This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.
Education
- Four-year or Graduate Degree in Computer Science, Statistics, Mathematics, Data Science, or any other related discipline or commensurate
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Job application FAQ
Last updated 27 October 2026
- How do I apply for AI Solutions Engineer at HP?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. HP may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this AI Solutions Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is AI Solutions Engineer remote or on-site in Bengaluru, Karnataka?
- This listing is marked on_site with location Bengaluru, Karnataka. Confirm details on the job description before applying.
- What skills matter for this AI Solutions Engineer role at HP?
- This is a mid-level AI Solutions Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.