Über
Role-Python(Mandatory)Gen AI and ML(Good to Have)
All potential candidates should read through the following details of this job with care before making an application.
Mode-Hybrid-3 Days from Dublin
Type-FTE/Perm
About the Role
6-10 years of relevant experience in Apps Development or systems analysis role.
Responsibilities
- Core AIML Foundations
- Strong foundational knowledge in GenAI Machine Learning ML modeling Data Science Statistics and AI fundamentals including Natural Language Processing NLP Neural Networks and Large Language Models LLMs
- Generative AI LLM Expertise
- Extensive hands‑on experience with leading LLMs such as Google Gemini OpenAI models Anthropic Claude Mistral Llama and various other open‑source LLMs
- Critical Deep working knowledge and hands‑on experience with Retrieval‑Augmented Generation RAG pipelines including advanced RAG techniques and their detailed implementation
- Proven ability to build, tune and deploy LLM‑based applications using platforms like Vertex AI Hugging Face etc.
- Expertise in developing robust prompt engineering strategies, prompt tuning and creating reusable prompt templates
- Hands‑on experience with agentic framework‑based use case implementation
- Working knowledge of Guardrails and methodologies for assessing the performance and safety of GenAI features
- Strong programming proficiency in Python is a must including extensive experience with libraries such as Pandas, NumPy, scikit‑learn, PyTorch, TensorFlow, Transformers, FastAPI, Seaborn, LangChain and LlamaIndex
- Proficiency in integrating generative AI with enterprise applications using APIs, knowledge graphs and orchestration tools
- Hands‑on experience with various vector databases e.g. PG Vector, Pinecone, Mongo Atlas, Neo4j for efficient data storage and retrieval
- Experience in dealing with large amounts of unstructured data and designing solutions for high‑throughput processing
- Deployment MLOps
- Critical hands‑on experience deploying GenAI‑based models to production environments
- Strong understanding and practical experience with MLOps principles, model evaluation and establishing robust deployment pipelines
- Strong expertise in CI/CD principles and tools e.g. Jenkins, GitLab CI, xcfaprz Azure DevOps, ArgoCD for automated builds, testing and deployments
- Proven experience with container orchestration platforms like OpenShift or Kubernetes for deploying, managing and scaling containerized applications in a cloud‑native environment
- Soft Skills
- Strong problem‑solving abilities, excellent collaboration skills for working effectively with cross‑functional teams and the capability to work independently on complex ambiguous problems
Qualifications
- Mandatory Skills: Python
- Good to Have Skills: Python - Data Science, Python for DATA
Equal Opportunity Statement
We are committed to diversity and inclusivity in our hiring practices.
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Sprachkenntnisse
- English
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