Omega CRM
AI

Senior Data Scientist AI EngineerPharmaceutical Sector

Omega CRM · Sant Cugat del Vallès, CT, ES

Actively hiring Posted about 1 month ago

Role overview

Omega CRM Consulting is looking for a Senior Data Scientist /AI Engineer that would like to collaborate with one of the top global pharmaceutical companies.

As a Senior Data Scientist / AI Engineer, you will be helping in designing and developing an advanced multi-agent system to support the triage of security incidents. While cybersecurity experience is appreciated, it is not required for this role.

Key Responsibilities

  • Design and maintain multi-agent architectures for triage and decision support.
  • Develop and refine machine learning models to assess and score incidents.
  • Integrate and orchestrate various tools and agents to automate and enrich the triage process.
  • Collaborate with project teams to ensure effective implementation and alignment with project goals.
  • Document system logic, workflows, and findings for stakeholders.

Technical Capabilities

  • Proven experience designing, building, and deploying agent-based AI systems, including orchestration of multiple agents and integration with diverse tools, protocols (e.g., MCP), and data sources.
  • Hands-on expertise with large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI techniques for workflow automation and decision support.
  • Deep understanding of agent toolchains, agent orchestration frameworks, and best practices for integrating and scaling agent-based architectures in enterprise environments.
  • Strong proficiency in Python and relevant programming languages for developing, integrating, and automating AI solutions.
  • Practical experience with containerization and deployment technologies such as Docker and OpenShift; familiarity with MLflow or similar platforms for model lifecycle management is highly valued.
  • Demonstrated ability to operationalize and maintain AI agents, including monitoring, troubleshooting, and continuous improvement in production environments.
  • Experience integrating agent-based systems with enterprise protocols and APIs, ensuring robust, secure, and scalable solutions.

Organisational skills and competences

  • Ability to work effectively with cross-functional teams, including project stakeholders and technical experts.
  • Strong written and verbal communication skills to document system designs and present findings to both technical and non-technical audiences.
  • Excellent troubleshooting and analytical skills for developing creative solutions to complex challenges.
  • Willingness to stay current with industry trends, technologies, and best practices in AI and automation.
  • High level of precision in designing, tuning, and evaluating models and agent workflows to ensure reliable outcomes.

Experience

  • Minimum of 5 years in data science or related roles.
  • Experience in AI engineering roles.
  • Demonstrated success in developing and refining agent-based systems and machine learning models for decision support in enterprise environments.

What do We offer

  • Permanent contract.
  • Flexible Schedule. We make it easy. Balance your professional and personal life.
  • Trainings & Certifications. Improve your skills and get the official certificate from our main partners.
  • Home Office.
  • Flexible retribution (public transport ticket, Ticket restaurant, …).
  • Health insurance.
  • OMEGA in action. Our commitment to a better society is not just an intention.

About us

Omega CRM, a Merkle Company, is a global digital company specialising in accelerating the Business Experience (BX) of our clients through customer-centric solutions, technology, and data – all enhanced by AI.

Together with Merkle, we form the largest Customer Experience Management (CXM) agency in Spain, and as part of the dentsu group, we offer end-to-end solutions that integrate media, creativity, content, technology, and strategy to deliver real business impact.

With over 23 years of experience, a team of 580+ professionals from 24 nationalities, and 2,500+ certifications, Omega CRM is a recognised leader in the Salesforce ecosystem in Spain.

We operate across key industries including Retail, Healthcare, Pharma, Real Estate, Education, and Non-Profit, delivering omnichannel experiences in Customer Service, eCommerce, Marketing, and Analytics.

Client satisfaction is at our core (rating: 4.9/5), and we’ve been recognised with awards such as Salesforce Partner of the Year FY23 and Most Innovative Project (Iberia).

At Omega CRM, we believe in growth through people – guided by our values: #Talent, #Flexibility, #Commitment, and #Innovation. We grow #Together.

What you'll work on

  • Design and maintain multi-agent architectures for triage and decision support.
  • Develop and refine machine learning models to assess and score incidents.
  • Integrate and orchestrate various tools and agents to automate and enrich the triage process.
  • Collaborate with project teams to ensure effective implementation and alignment with project goals.
  • Document system logic, workflows, and findings for stakeholders.

What we're looking for

  • Proven experience designing, building, and deploying agent-based AI systems, including orchestration of multiple agents and integration with diverse tools, protocols (e.g., MCP), and data sources.
  • Hands-on expertise with large language models (LLMs), Retrieval-Augmented Generation (RAG), and advanced AI techniques for workflow automation and decision support.
  • Deep understanding of agent toolchains, agent orchestration frameworks, and best practices for integrating and scaling agent-based architectures in enterprise environments.
  • Strong proficiency in Python and relevant programming languages for developing, integrating, and automating AI solutions.
  • Practical experience with containerization and deployment technologies such as Docker and OpenShift; familiarity with MLflow or similar platforms for model lifecycle management is highly valued.
  • Demonstrated ability to operationalize and maintain AI agents, including monitoring, troubleshooting, and continuous improvement in production environments.
  • Experience integrating agent-based systems with enterprise protocols and APIs, ensuring robust, secure, and scalable solutions.

Organisational skills and competences

  • Ability to work effectively with cross-functional teams, including project stakeholders and technical experts.
  • Strong written and verbal communication skills to document system designs and present findings to both technical and non-technical audiences.
  • Excellent troubleshooting and analytical skills for developing creative solutions to complex challenges.
  • Willingness to stay current with industry trends, technologies, and best practices in AI and automation.
  • High level of precision in designing, tuning, and evaluating models and agent workflows to ensure reliable outcomes.

Experience

Tags & focus areas

Used for matching and alerts on DevFound
Ai Ai Engineer Machine Learning Data Science