Build and improve LLM-based features, tackle early-stage research projects in AI and machine learning, and build datasets and fine-tune open models on security data.
Locations (2)
Athens, Attica, Greece
Europe
Responsibilities
Build and improve LLM-based features
Tackle early-stage research projects in AI and machine learning
Build datasets and fine-tune open models on security data
Requirements
Master's in AI, Machine Learning, Data Science or related fields
PhD in AI, Machine Learning, Data Science or related fields
Final-year Bachelor's students with demonstrated work
Nice to have: Published papers or ongoing research
Nice to have: Experience with RAG or agent systems
The Lead AI Engineer is the senior technical authority responsible for driving architecture, technical direction, and engineering standards for AI-powered products and Digital Workers. The role evolves toward team leadership.
Compensation
The expected base salary range for this position is $150,000 to $180,000 annually.
Responsibilities
Own the architecture of the Digital Worker platform and AI capabilities
Establish design principles, engineering patterns, and architectural standards for AI systems
Lead technical design reviews and make tradeoff calls on quality, latency, and cost
Design and build production systems using LLMs, retrieval architectures, and agentic workflows
Build reusable frameworks for agent orchestration and tool integration
This role supports the GR&A Data Science team throughout the modelling lifecycle, working on well-defined tasks under the supervision of senior colleagues.
Responsibilities
Support data preparation and analysis.
Contribute to documentation and process mapping.
Support the ideation, development and evaluation of statistical and machine learning models.
Contribute to forecasting and decision-optimization activities.
Present results to technical and non-technical stakeholders.
Support the development of AI/ML solutions for engineering drawing automation, document intelligence, and rule-based validation of 2D manufacturing drawings.
Responsibilities
Develop AI models for drawing analysis and validation
Build RAG-based knowledge retrieval solutions
Support model training using historical drawing datasets
Create proof-of-concept AI agents for engineering use cases
Work with CAD and PLM teams to understand engineering data structures
Requirements
Bachelor's degree in Computer Science, AI, Data Science, or related fields
Nice to have: Exposure to Engineering/CAD data
Nice to have: Knowledge of Manufacturing or Product Engineering processes
Nice to have: Experience with vector databases and on-premise AI deployments
Apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own scoped analyses and defined biological investigations with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Requirements
PhD in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering or related discipline
Master's degree with 2+ years of relevant experience
Apply computational and biological expertise to help answer high-value scientific questions using diverse biological, molecular, and clinical datasets.
Compensation
The annual base salary for this position ranges from $106,000.00 to $176,600.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary and eligibility to participate in our share based long term incentive program.
Responsibilities
Own scoped analyses and defined biological investigations with appropriate guidance
Partner with scientists to understand biological questions and analytical needs
Apply computational methods to generate high-quality scientific insights
Build expertise in disease biology, drug discovery, and development
Learn how computational evidence supports scientific and portfolio decisions
Requirements
PhD in Computational Biology, Bioinformatics, Genetics, Genomics, Systems Biology, Biostatistics, Biomedical Engineering or related discipline
Master's degree with 2+ years of relevant experience
Nice to have: Experience in biotechnology, pharmaceuticals, healthcare, or biomedical research
Nice to have: Experience supporting drug discovery or development activities
Nice to have: Familiarity with AI-enabled scientific workflows
Bridges the gap between artificial intelligence innovation and practical cyber defense operations to drive the strategic adoption of AI technologies in security infrastructure.
Compensation
$122,000-$253,000
Responsibilities
Define strategic vision for AI-enhanced security capabilities aligned with organizational risk posture.
Identify and evaluate AI/ML use cases for cyber defense, threat detection, incident response, and security operations.
Assess emerging AI technologies for applicability to security challenges including anomaly detection, threat intelligence, and automated response.
Stay current on AI threat landscape, including adversarial AI and AI-powered attacks.
Bridge communication between technical teams, security operators, and business stakeholders.
Requirements
Bachelor's degree in Engineering, Computer Science, Cybersecurity, Information Systems, or related field
Master's Degree preferred
Nice to have: Securing AI system
Nice to have: AI in defensive system operations (SOC)
Lead the design, build, and operation of algorithmic systems that transform aerial imagery into high‑quality property‑level map data for Nearmap’s AI products.
Responsibilities
Design, build and run production pipelines that turn aerial imagery and other geospatial data into property‑level map data
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