AI/ML Data Scientist

Vwg Digitalsolutions; Lisboa; On-site; EUR 60,000 - 90,000; Full time

Job summary

Lever, Inc. is seeking an experienced Data Scientist to collaborate with cross-functional teams in translating business needs into AI/ML solutions.

You will design, train and deploy models for classification, regression, clustering, and recommendations, while preprocessing large datasets to extract meaningful features for training. You will experiment with different ML techniques, optimize models for real-time inference, and rigorously test for robustness and generalization.

Qualifications

• Degree in computer science, software engineering, or comparable work experience.
• Proven experience as a Data Scientist or related role.
• Hands-on experience building and deploying AI models in production environments.
• Strong programming experience in Python; familiarity with ML frameworks.

Responsibilities

• Collaborating with cross-functional teams to translate business requirements into AI/ML solutions.
• Designing, developing and deploying AI models for classification, regression, clustering, and recommendations.
• Preprocess and analyze large datasets to extract features for model training.
• Experiment with ML techniques to improve model performance and accuracy.
• Implement and optimize AI/ML models for scalability and real-time inference.
• Conduct rigorous testing and validation to ensure robustness and generalization.
• Stay updated on AI/ML advancements and assess applicability to projects.
• Collaborate with data engineers, product owners, and stakeholders.
• Ensure models are explainable, auditable, and compliant with data privacy regulations.
• Mentor junior team members and foster continuous learning.

Skills

Python

Machine learning

TensorFlow

PyTorch

scikit-learn

Cloud platforms

English communication

Education

Degree in computer science or software engineering

Tools

TensorFlow

PyTorch

scikit-learn

AWS

Azure

GCP

Job description

You’ll be focused in

• Collaborating with cross-functional teams to understand business requirements and translate them into AI/ML solutions
• Designing, developing and deploying AI models and algorithms for tasks such as classification, regression, clustering, and recommendation
• Preprocess and analyze large datasets to extract meaningful features and insights for model training
• Experiment with different machine learning techniques and algorithms to improve model performance and accuracy
• Implement and optimize AI/ML models for scalability, efficiency, and real-time inference
• Conducting rigorous testing and validation of AI models to ensure robustness, reliability, and generalization
• Staying updated on the latest advancements in AI/ML research, frameworks, and tools, and evaluate their applicability to our projects
• Collaborate closely with data engineers, product owners, business stakeholders, and external partners.
• Ensure models are explainable, auditable, and aligned with data privacy and regulatory requirements.
• Mentor and support junior team members, fostering a culture of continuous learning and experimentation.

In order to succeed, you’ll need

• Degree in computer science, software engineering, or comparable work experience
• Proven experience working as a Data Scientist or related role
• Hands-on experience in building and deploying AI models and generative AI models in production environments
• Experience in programming languages commonly used in AI/ML development, such as Python
• Strong experience in machine learning algorithms, techniques, and frameworks, such as TensorFlow, PyTorch, scikit-learn
• Experience with cloud platforms (e.g., AWS, Azure, GCP) and related AI/ML services including generative AI technologies
• Strong analytical mindset, structured problem-solving skills, and a product-thinking approach.
• Great communication skills in English, both written and spoken

About the Product

Our Sales Spoke team is driven by a data-first culture, leveraging both advanced analytics and AI to empower our team and customers to create additional value. We enable our business units to explore their untapped data & analytics potential and provide our customers with value-adding advanced analytics solutions.