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  Act as lead consultant and solution architect for major clients in banking, financial services, pharma, FMCG, and high-growth startups.
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  Own the full AI/ML delivery cycle: design, development, integration, and scalable deployment into complex customer environments.
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  Advise executive stakeholders and translate business needs into robust AI-driven architectures.
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  Collaborate directly with C-level leaders, technical teams, and decision makers to define, prioritise, and implement AI roadmaps.
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  Guide and mentor internal engineering teams, ensuring technical excellence and best practice across all AI/ML projects.
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  Oversee all aspects of AI project delivery, including model lifecycle management, infrastructure, automation, and ongoing optimisation.
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  Guarantee the security, compliance, and reliability of all AI implementations for enterprise clients.

Requirements

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  Proven mastery of Python for AI/ML; working knowledge of R, Java, or Julia is an advantage.
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  Expertise in modern AI/ML frameworks: TensorFlow, PyTorch, Scikit-learn.
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  NLP tools: experience with Hugging Face Transformers, spaCy, or NLTK.
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  Strong skills in Pandas, NumPy, Matplotlib/Seaborn for data manipulation and visualisation.
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  Model deployment expertise: ONNX, TensorFlow Serving, or similar.
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  Solid data engineering background: SQL/NoSQL databases, ETL pipelines (Airflow, Prefect, Luigi).
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  Big Data: Spark, Hadoop, or Dask.
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  Cloud storage: AWS S3, Google Cloud Storage, or Azure Blob Storage.
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  Cloud platforms: AWS, GCP, or Azure, including AI services (SageMaker, Vertex AI, Azure ML).
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  DevOps: Docker, Kubernetes, Jenkins, GitHub Actions, GitLab CI/CD, Terraform, CloudFormation.
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  Integration: RESTful APIs, GraphQL, integration platforms (Zapier, Workato), webhooks.
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  MLOps: DVC, MLflow, Kubeflow, TFX, Prometheus, Grafana, Seldon Core.
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  Security/compliance: GDPR, CCPA, encryption, secure API design, OAuth 2.0, logging, and auditability.

Benefits

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  The opportunity to deliver AI transformation for global enterprise clients and innovative, high-growth startups.
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  Direct impact on flagship projects across banking, pharma, FMCG, and new economy sectors.
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  Full flexibility (remote or hybrid).
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  Competitive compensation, strategic influence, and access to a network of top international brands.
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  The chance to build the benchmark for AI delivery in Europe and North America.