Senior Machine Learning Engineer

1 month ago

Bengaluru, India Kimberly-Clark Full time
Description

Your JobYou’re raising the stakes for your career to do more. Learn more. Impact more. Here, your innovation, ideas, and technical curiosity will help us deliver better care for billions of people worldwide. You’ll put your professional expertise, talent, and drive to work by building and managing the technology behind our portfolio of iconic brands, which in turn helps billions of people around the world.

It starts with YOU.About UsHuggies®. Kleenex®. Cottonelle®. Scott®. Kotex®. Poise®. Depend®. K-C Professional®. You already know our legendary brands—and so does the rest of the world. In fact, 25% of people in the world use Kimberly-Clark products every day, and it takes the absolute best people to make that happen.We’re founded on 151 years of market leadership, and we’re always looking for new and better ways to perform, especially when it comes to product and process innovation. Our customers are always looking for new and better. Our competitors won’t stop evolving. And our communities demand responsible corporate practices. We need bold, transformative ideas from people who can turn them into reality. That means there’s no time like the present to make an impact here. ; you just need to log onLed by Purpose, Driven by You.About YouYou 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.You love what you do, especially when your work 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.As a Senior Machine Learning Engineer, you will be instrumental in the development and maintenance of our internal AI observability platform. 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. 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.Key ResponsibilitiesLead the development, deployment, and maintenance of our internal AI observability platform, focusing on scalability, efficiency, and functionality.

Design and implement robust APIs using FastAPI or similar frameworks to support the operational needs of AI models and services.

Collaborate with ML Engineers, Data Scientists, and software developers to onboard existing and new AI use cases onto the observability platform, ensuring optimal integration.

Apply best practices in MLOps, LLMOps, Data Science, and software engineering to ensure the delivery of clean, efficient, and reliable code.

Conduct thorough code reviews and provide constructive feedback to peers, fostering a culture of excellence and continuous improvement.

Manage communications and requirements from different stakeholders, ensuring clarity and alignment on project goals and timelines.

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.

RequirementsBachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or a related field.

A minimum of 7 years of relevant experience in MLOps, ML engineering, and Data Science, with a proven track record of developing and maintaining AI solutions. Knowledge of LLMs and LLMOps is a plus.

Expertise in API development, preferably with FastAPI, and a strong understanding of RESTful services.

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 with cloud computing platforms (AWS, GCP, Azure) and container technologies (Docker, Kubernetes) is highly desirable.

Excellent problem-solving skills, ability to work in a team environment, and strong communication skills to interact with various stakeholders.

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.

Total BenefitsHere are just

a few

of the benefits you’ll enjoy working in this role for Kimberly-Clark:Competitive salary and incentives:

We offer a competitive salary and a range of incentives, including bonus opportunities, retirement savings plans, and flexible work options.

Fantastic range of benefits:

Our benefits package is second to none, with everything from health & life insurance, dental & vision care, employee assistance program, paid time off, well-being activities, and more.

A culture of caring:

We believe that a happy and healthy workforce is a productive workforce, so we offer a variety of programs and resources to support our employees' well-being

.

We believe that our employees are our greatest asset, and we're committed to providing them with the resources they need to be successful. If you're looking for a rewarding career with a company that cares about its employees, then Kimberly-Clark is the place for you.To Be ConsideredClick 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, check out the . You’ll want to review this and come prepared with relevant questions if and when you pass GO and begin interviews.

Primary Location

IT Centre Bengaluru GDTCAdditional Locations

Worker Type

EmployeeWorker Sub-Type

RegularTime Type

Full time

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