ML Ops Engineer

About the role

HP is looking for an ML Ops Engineer in Sant Cugat del Valles. The role applies advanced AI techniques, including machine learning and natural language processing, to solve complex problems and design novel algorithms. It involves leading independent research, developing systems for tasks such as translation and sentiment analysis, and optimizing predictive models.

Key responsibilities

• Solve difficult and complex problems using advanced AI technologies such as ML and NLP.
• Conduct experimental research independently with limited supervision to advance AI.
• 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 such as 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, demonstrating good judgment in selecting methods and techniques.

Required profile

• Recommended: 4-7 years of experience.
• Bachelor's degree in engineering, computer science, information technology or a related field.
• Ability to lead and direct team activities and facilitate information validation and team decision making.

Required skills

• Python programming
• Machine learning and deep learning
• Natural language processing (NLP)
• Data engineering and MLOps
• Cloud platforms
• Algorithm design, statistical modeling and generative AI / LLMs
• AI ethics, product thinking and collaboration and communication