Jr. Fullstack Gen AI Engineer
Confirmed live in the last 24 hours
Kimberly-Clark
Job Description
Job Description
Join the team behind iconic brands like Huggies®, Kleenex®, Cottonelle®, Scott®, Kotex®, Poise®, Depend®, and Kimberly-Clark Professional® At Kimberly-Clark, it’s all here for you—innovation, growth, and the chance to make a real impact.
You were made to create Better Care for a Better World: designing new technologies, diving into data, optimizing digital experiences, and constantly developing better, faster ways to get results. You want to be part of a performance culture dedicated to building technology for a purpose that matters. Here, you’ll work in an environment that promotes sustainability, inclusion, wellbeing, and career development while you help us deliver better care for billions of people around the world. It starts with YOU.
About You
In one of our technical roles, you’ll focus on winning with consumers and the market, while putting safety, mutual respect, and human dignity at the center.
Design and Architecture:Evaluate and select appropriate foundation models (open-source or commercial) based on business needs and constraints.
Model Development and Fine-Tuning: Fine-tune and optimize large language models (LLMs) using techniques like prompt engineering, LoRA, PEFT, reinforcement learning (RLHF), and transfer learning.
Drive innovation through experimentation with GANs, VAEs, diffusion models, and transformer-based architectures.
LLMOps and Deployment: Implement robust LLMOps practices for model lifecycle management, versioning, evaluation, and rollback strategies.
Lead model deployment using cloud-native tools (Azure [preferred], AWS, GCP) and MLOps platforms (e.g Databricks).
Observability and Governance: Develop and Enhance features for AI observability including hallucination detection, prompt drift monitoring, and output explainability etc.
Champion responsible for AI practices, ensuring compliance with privacy, security, and fairness standards.
Collaboration and Mentorship: Act as a technical mentor and thought leader within the AI/ML engineering team.
Work closely with business and product stakeholders to translate ambiguous problems into AI-driven solutions.
R&D and Innovation: Stay abreast of the latest advancements in GenAI, LLMs, and deep learning research.
Publish internal research, prototype new capabilities, and drive knowledge sharing across teams.
To succeed in this role, you will need the following qualifications:
Required Qualifications
Bachelor’s or master’s degree in computer science, Engineering, or a related field.
2+ years of experience in machine learning, deep learning, or NLP, with 1+ years in GenAI/LLM development.
Proficient in Python and frameworks such as PyTorch, TensorFlow, Hugging Face Transformers, LangChain, LangGraph etc.
Strong experience in training and/or fine-tuning foundation models and integrating them into production pipelines.
Proven experience in designing and deploying scalable APIs and microservices using FastAPI or Flask.
Familiarity with vector databases (FAISS, Pinecone, Weaviate), embeddings, and semantic search.
Hands-on experience with CI/CD, containerization (Docker/Kubernetes), and cloud-based AI infrastructure (Azure [preferred], AWS, or GCP).
Deep understanding of prompt engineering, model evaluation, observability, and responsible AI.
Preferred Qualifications:
Experience with large-scale data processing and distributed computing.
Experience with reinforcement learning and/or unsupervised learning.
Experience with natural language generation and/or image generation.
Experience with containerization technologies such as Docker and Kubernetes.
Experience leading technical teams or AI initiatives end-to-end.
Exposure to multimodal GenAI (e.g., image, audio, and video generation).
Familiarity with enterprise-grade data governance and AI risk frameworks.
Contributions to open-source GenAI/ML projects or research publications.
Led by Purpose. Driven by You.
To Be Considered
Click the Apply button and complete the online application process. A member of our recruiting team will review your application and follow up if you seem like a great fit for this role.
And finally, the fine print….
For Kimberly-Clark to grow and prosper, we must be an inclusive organization that applies the diverse experiences and passions of its team members to brands that make life better for people all around the world, which is why we seek to build a workforce that encompasses the experiences of our consumers. When you bring your original thinking to Kimberly-Clark, you fuel the continued success of our enterprise. We are a committed equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, sexual orientation, gender identity, age, pregnancy, genetic information, citizenship status, or any other characteristic protected by law.
The statements above are intended to describe the general nature and level of work performed by employees assigned to this classification. Statements are not intended to be construed as an exhaustive list of all duties, responsibilities and skills required for this position.
Employment is subject to verification of local policies.
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