AI/Gen AI Platform Engineering Lead
IT Centre Bengaluru GDTC, India
Kimberly-Clark
Kimberly-Clark (NYSE: KMB) and its trusted brands are an indispensable part of life for people in more than 175 countries. Fueled by ingenuity, creativity, and an understanding of people’s most essential needs, we create products that help...Job Description
Technical Roles
You were made to do this work: 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. You want to work in an environment that promotes sustainability, inclusion, wellbeing, and career development. In this role, you’ll help us deliver better care for billions of people around the world. It starts with YOU.
In this role, you will:
- As a AI/Gen AI Platform Engineering Lead, you will be instrumental in the development and maintenance of our internal AI/Gen AI platforms. This role requires a blend of expertise in machine learning operations (MLOps), ML Engineering, Data Science, Large Language Models (LLMs), LLM Operations (LLMOps), and software engineering principles. The ideal candidate will have a strong background in machine learning, deep learning, and natural language processing, as well as experience with generative models such as GANs, VAEs, and autoregressive models. You will be responsible for developing API platforms using frameworks like FastAPI and ensuring the high-quality integration of both existing and new AI use cases into our platform. Your contributions will be crucial in enhancing our AI capabilities, ensuring operational excellence, and driving innovation.
- Architect and implement robust platform solutions that are scalable, secure, and cost-efficient.
- Ensure end-to-end platform reliability, from development through to operations, leveraging platform engineering principles.
- Build and maintain AI & ML platforms with a focus on scalability, security, and high performance.
- Strong programming skills in Python & Pyspark
- Deploy AI models/LLM’s tailored for real-world business applications.
- Optimize model performance and troubleshoot issues in production environments.
- Handson expertise on building orchestration layer for Gen AI solutions including langchain, langgraph, vectorDB’s, RAG, etc
- Drive automation through advanced CI/CD pipelines and Infrastructure as Code (IaC).
- Utilize tools like Docker, Kubernetes, and Terraform to streamline deployments and enhance reliability.
- Integrate internal and external systems with APIs and event-driven architectures to ensure seamless interoperability.
- Lead the implementation of highly available and scalable AI platforms across various domains.
- Provide cost-effective, performance-driven cloud infrastructure solutions.
- Work closely with IT Functional Engineers, Solution Engineers, Developers, Enterprise Architects, and Business Stakeholders to deliver impactful solutions.
- Maintain a strong understanding of global standards and industry best practices to ensure technical excellence.
- Pioneer new approaches to solve complex business challenges and drive transformational change.
- Keep abreast of the latest trends and advancements in AI, Machine Learning, LLMs, LLMOps, and software engineering to drive innovation within our platforms and services
About Us
Huggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. Kimberly-Clark Professional®. You already know our legendary brands—and so does the rest of the world. In fact, millions of people use Kimberly-Clark products every day. We know these amazing Kimberly-Clark products wouldn’t exist without talented professionals, like you.
At Kimberly-Clark, you’ll be part of the best team committed to driving innovation, growth and impact. We’re founded on more than 150 years of market leadership, and we’re always looking for new and better ways to perform – so there’s your open door of opportunity. It’s all here for you at Kimberly-Clark.
Led by Purpose. Driven by You.
About You
You perform at the highest level possible, and you appreciate a performance culture fueled by authentic caring. You want to be part of a company actively dedicated to sustainability, inclusion, wellbeing, and career development.
You love what you do, especially when the work you do makes a difference. At Kimberly-Clark, we’re constantly exploring new ideas on how, when, and where we can best achieve results. When you join our team, you’ll experience Flex That Works: flexible (hybrid) work arrangements that empower you to have purposeful time in the office and partner with your leader to make flexibility work for both you and the business.
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. To succeed in this role, you will need the following qualifications:
- 10+ years of relevant experience
- B-tech in Engineering & computer science
- AI & ML: Proven experience in developing and deploying scalable machine learning/Gen AI models and platforms.
- Proficient in Python and familiar with ML frameworks (e.g., TensorFlow, PyTorch) and data manipulation libraries (e.g., Pandas, NumPy), with specific experience in implementing and managing large language models (LLMs).
- Solid grasp of software engineering principles, including but not limited to version control (Git), CI/CD practices, and automated testing.
- Experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions. Knowledge of LLMs and LLMOps.
- DevOps: Proficiency in Docker, Kubernetes, Jenkins, Terraform, and advanced CI/CD practices.
- Cloud Technologies: In-depth knowledge of AWS, Azure, or GCP with the ability to design and manage cost-effective infrastructures.
- API Development: Strong command over FastAPI, RESTful APIs, GraphQL, and event-driven system architectures.
- Strong analytical and critical thinking skills with a focus on troubleshooting and optimization.
- Ability to mentor teams and promote collaboration across functions.
- Passion for driving innovation and delivering tangible results.
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.
In the meantime, please check out the careers website.
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. We actively seek to build a workforce that reflects 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 pre-screening tests, which may include drug screening, background check, and DMV check.
#LI-Hybrid
Primary Location
IT Centre Bengaluru GDTCAdditional Locations
Worker Type
EmployeeWorker Sub-Type
RegularTime Type
Full time* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: API Development APIs Architecture Autoregressive models AWS Azure CI/CD Classification Computer Science Deep Learning DevOps Docker Engineering FastAPI GANs GCP Generative AI Generative modeling Git GraphQL Jenkins Kubernetes LangChain LLMOps LLMs Machine Learning MLOps NLP NumPy Pandas Pipelines PySpark Python PyTorch RAG Security TensorFlow Terraform Testing
Perks/benefits: Career development Startup environment
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