Job Location: Bangalore/Bengaluru
- We are looking for a hardworking, aspirational and innovative engineering leader for the Lead ML Engineer position in our AI engineering and innovation team within the CDO organization.
- The lead ML engineer will play a diverse and far-reaching role across organizations providing leadership and influencing adoption of technical solutions, strategies and design patters across multiple teams and partners within Kimberley-Clark.
Responsibilities:
- Participate in research and innovation of data science projects that have impact to our products and customers globally
- Apply ML expertise to train models, validates the accuracy of the models, and deploys the models at scale to production
- Design, build systems which improve machine learning scalability, usability and performance
- Work with data scientists and data engineers to build pipeline to train and deploy models
- Represent Kimberley-Clark in external ML industry events and publish thought leadership pieces
- Lead the design of prototypes in our AI factory, partnering with product teams, AI strategists and data scientists, other stakeholders throughout the AI development life cycle
- Aggregate huge amount of data from disparate sources to discover patterns and features necessary to automate the analytical models
- Research, write documents and technical requirements, white papers
- Lead and transform data science prototypes
- Design AI applications using efficient ML models
- Select appropriate datasets and data representation methods
- Explore the state-of-the-art technologies and apply them to deliver customer benefits
- Think pragmatically when introducing new technologies. Balance the demand for short-term goals to meet project deadlines, with the need for longer-term and innovative solutions
- Mentor a diverse team of junior engineers in machine learning techniques, tools and concepts. Provides guidance and leadership to more junior engineers.
- Effectively communicate results to peers and leaders
Qualifications:
- M.S. or PhD in Computer Science or Machine Learning related degree; or equivalent work experience in the field.
- 12+ years of strong, hands-on development experience
- 5+ years of core data science experience
- Experience on multiple complex scenarios, along with complex kind of data modelling
- Someone who can lead the team / guide the junior team members
- Diversity of work in data science, diversity in solving different kinds of problems, using and creating different algorithms
- Complex business problems solution experience
- Complex initiatives, Initiatives taken outside the work, and more importantly Leading DS teams along with define the use case to go after
- 5+ years experience leading and delivering effective ML solutions for large scale production use cases.
- Experience in distributed, scalable systems, modern data storage, messaging, and processing frameworks (Kafka, Spark, Databricks, Azure ADLS, Azure ML etc.). Working experience on how to put modern data / ML pipelines together using these frameworks
- Experience with a number of ML techniques and frameworks, e.g. data discretization, normalization, sampling, linear regression, decision trees, deep neural networks, etc.
- Strong technical advocate with a background in Java, C++, or Scala, and Python.
- Collaborative working style with a strong focus on disciplined execution and results.
- Strong ability to communicate relevant information clearly and concisely
- Ability to look ahead to identify opportunities and thrive in a culture of innovation
- Self-starter who can see the big picture, and prioritize your work to make the largest impact on the business and customer s vision and requirements
- Experience in building, testing, and deploying code to run on Azure cloud datalake
- Experience with at least one of the deep learning frameworks such as TensorFlow, PyTorch or Keras.
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