Role-Python(Mandatory)Gen AI and ML(Good to Have)

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
• Programming Data Engineering
• 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 Azure DevOps ArgoCD for automated builds testing and deployments
• Cloud Containerization
• 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.