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Mid-level ML role at a strong global brand with a general Software Engineer title increases applicant competition.
ML/AI skills and tooling here are broadly transferable across industries, so background sensitivity is low.
Explicit 4+ years plus mandatory GenAI/ML frameworks and platform experience raises shortlisting strictness.
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Develop and deploy Generative AI solutions, including text generation, summarization, RAG, and intelligent assistants using large language models (LLMs).
Implement and automate complex workflows and decision-making pipelines via multi-agent AI systems (Agentic AI).
Design, build, and maintain machine learning models and AI pipelines from data ingestion to inference, ensuring production-ready Python code and use of AI orchestration frameworks like LangChain and LangGraph.
Bachelor’s Degree in Computer Science, Mathematics, or related field.
4+ years of progressively responsible IT technical experience.
Proficient in ML frameworks/libraries such as Scikit-learn, NumPy, Pandas, PyTorch, TensorFlow/Keras.
Experience working with GenAI & Agentic frameworks like LangChain, LangGraph, Pydantic AI, LlamaIndex and familiarity with LLM platforms (Azure OpenAI, AWS Bedrock, Google Vertex AI).
Strong hands-on experience building and deploying enterprise-scale generative AI and Agentic AI applications.
Comfortable working with cutting-edge AI orchestration tools and maintaining full ML pipelines in production environments.
Experience in agile collaboration with proven skills in writing scalable, clean Python code integrated with modern CI/CD workflows and AI coding assistants.