Senior Data Scientist - Applied AI & MLOps
Plain Concepts • Spain
Posted: March 9, 2026
Job Description
🚀 We’re Growing Our AI Dream Team!
Titles? Meh, we’re not big on them, but internally, let’s call this one Data Scientist like the other colleagues at the team 😉 but a little bit more expertise.
We’re expanding our AI/ML team with a senior-level engineer ready to lead strategic initiatives. This role is ideal for someone with deep technical expertise and a passion for building impactful solutions. You’ll be part of a multidisciplinary team, driving innovation and delivering high-quality AI systems.
You will be responsible for:
- Identifying and qualifying leads for AI/ML projects across various industries.
- Architect and develop end-to-end AI/ML solutions tailored to complex business challenges
- Leading client engagements from initial contact through project scoping and proposal development
- Lead technical design and implementation of production-grade models and pipelines.
- Own the deployment, optimization, and monitoring of models and infrastructure (MLOps).
- Collaborate across teams to ensure technical excellence and project success.
- Mentor peers and contribute to knowledge-sharing across the organization.
- Driving sales strategies and achieving revenue targets.
- Building long-term relationships with clients and partners.
- 7+ years of experience in AI, Machine Learning, or Data Science.
- Experience in technology sales, preferably in AI, Machine Learning, or Data Science.
- Proven track record of initiating and closing complex technology projects.
- Strong understanding of AI/ML concepts and their business applications.
- Excellent communication and presentation skills.
- Proven ability to build full-stack software products with embedded ML components.
- Strong background in NLP and Computer Vision.
- Expert-level Python skills and solid SQL knowledge.
- Hands-on experience with ML frameworks (TensorFlow, PyTorch) and MLOps tools.
- Fluent English (mandatory)
- Bonus Skills
- Experience with Big Data tools and cloud platforms (especially Azure).
- RESTful API development and DevOps practices (Docker, CI/CD).
- Familiarity with recommendation systems, unsupervised learning, and ranking models.
- Cognitive services, Agentic AI...
- Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing.
- Strong object-oriented programming skills.
Additional Content
🚀 We’re Growing Our AI Dream Team!
Titles? Meh, we’re not big on them, but internally, let’s call this one Data Scientist like the other colleagues at the team 😉 but a little bit more expertise.
We’re expanding our AI/ML team with a senior-level engineer ready to lead strategic initiatives. This role is ideal for someone with deep technical expertise and a passion for building impactful solutions. You’ll be part of a multidisciplinary team, driving innovation and delivering high-quality AI systems.
You will be responsible for:
- Identifying and qualifying leads for AI/ML projects across various industries.
- Architect and develop end-to-end AI/ML solutions tailored to complex business challenges
- Leading client engagements from initial contact through project scoping and proposal development
- Lead technical design and implementation of production-grade models and pipelines.
- Own the deployment, optimization, and monitoring of models and infrastructure (MLOps).
- Collaborate across teams to ensure technical excellence and project success.
- Mentor peers and contribute to knowledge-sharing across the organization.
- Driving sales strategies and achieving revenue targets.
- Building long-term relationships with clients and partners.
- 7+ years of experience in AI, Machine Learning, or Data Science.
- Experience in technology sales, preferably in AI, Machine Learning, or Data Science.
- Proven track record of initiating and closing complex technology projects.
- Strong understanding of AI/ML concepts and their business applications.
- Excellent communication and presentation skills.
- Proven ability to build full-stack software products with embedded ML components.
- Strong background in NLP and Computer Vision.
- Expert-level Python skills and solid SQL knowledge.
- Hands-on experience with ML frameworks (TensorFlow, PyTorch) and MLOps tools.
- Fluent English (mandatory)
- Bonus Skills
- Experience with Big Data tools and cloud platforms (especially Azure).
- RESTful API development and DevOps practices (Docker, CI/CD).
- Familiarity with recommendation systems, unsupervised learning, and ranking models.
- Cognitive services, Agentic AI...
- Knowledge of TensorFlow Lite, TensorFlow Serving, gRPC, and unit testing.
- Strong object-oriented programming skills.