ML Ops EngineerDescription -Job SummaryThis role is responsible for applying advanced AI techniques—including machine learning and natural language processing—to solve complex problems and design novel algorithms. Leads independent research, develops systems for tasks like translation and sentiment analysis, and optimizes predictive models. Exercises sound judgment in managing projects and creatively resolving challenges, while documenting and sharing findings with peers.
ResponsibilitiesSolve difficult and sometimes complex problems using advanced AI technologies such as ML and NLP.
Conduct experimental research independently with limited supervision to advance AI.
Apply seasoned professional expertise to resolve a wide range of issues creatively.
Analyze situations or data requiring new perspectives on existing solutions.
Lead the design and implementation of novel algorithms and AI solutions.
Develop systems for complex tasks like language translation, sentiment analysis, and speech recognition.
Implement and optimize algorithms for machine learning and predictive analytics.
Document and share research processes and findings within the team.
Manage projects and processes independently with limited supervision.
Demonstrate good judgment in selecting methods and techniques for obtaining solutions.
Education & Experience Recommended4-7 year of experienceBachelor’s degree in engineering, computer science, information technology or a related field.




Preferred CertificationsNAKnowledge & SkillsProgramming LanguagesPython (Programming Language)Machine Learning & Deep LearningNatural Language Processing (NLP)Data EngineeringMLOpsCloud PlatformsAlgorithm DesignGenerative AI & LLMsAI EthicsProduct ThinkingCollaboration & CommunicationAnalytical skillsAI agents
- agentic systemsStatistical ModelingCritical Thinking.
Cross-Org SkillsEffective CommunicationResults OrientationLearning AgilityDigital FluencyCustomer CentricityImpact & ScopeImpacts 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.
ComplexityResponds to moderately complex issues within established guidelines.
DisclaimerThis

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.
Job -SoftwareSchedule -Full timeShift -No shift premium (Spain)Equal Opportunity Employer (EEO) -HP, Inc. provides equal employment opportunity to all employees and prospective employees, without regard to race, color, religion, sex, national origin, ancestry, citizenship, sexual orientation, age, disability, or status as a protected veteran, marital status, familial status, physical or mental disability, medical condition, pregnancy, genetic predisposition or carrier status, uniformed service status, political affiliation or any other characteristic protected by applicable national, federal, state, and local law(s).
Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.
For more information, review HP’s EEO Policy or read about your rights as an applicant under the law here: “Know Your Rights: Workplace Discrimination is Illegal”

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