Intern 5 engineering - Data Science Intern (M.Tech, Batch of 2026)
Bengaluru, KA, India
Western Digital
Western Digital, leaders in digital storage solutions compatible with Mac and PC. FREE shipping, friendly support, and 30-day return policy on storage products.Company Description
At Western Digital, our vision is to power global innovation and push the boundaries of technology to make what you thought was once impossible, possible.
At our core, Western Digital is a company of problem solvers. People achieve extraordinary things given the right technology. For decades, we’ve been doing just that. Our technology helped people put a man on the moon.
We are a key partner to some of the largest and highest growth organizations in the world. From energizing the most competitive gaming platforms, to enabling systems to make cities safer and cars smarter and more connected, to powering the data centers behind many of the world’s biggest companies and public cloud, Western Digital is fueling a brighter, smarter future.
Binge-watch any shows, use social media or shop online lately? You’ll find Western Digital supporting the storage infrastructure behind many of these platforms. And, that flash memory card that captures and preserves your most precious moments? That’s us, too.
We offer an expansive portfolio of technologies, storage devices and platforms for business and consumers alike. Our data-centric solutions are comprised of the Western Digital®, G-Technology™, SanDisk® and WD® brands.
Today’s exceptional challenges require your unique skills. It’s You & Western Digital. Together, we’re the next BIG thing in data.
Job Description
ESSENTIAL DUTIES AND RESPONSIBILITIES
- Develop data science solutions using Python and deep learning frameworks like Tensorflow and PyTorch
- Perform fast-paced analytical and data mining tasks to investigate all facets of a business problem
- Work alongside domain experts and get relevant knowledge about the core engg process involved in HDD design and manufacturing
- Create high quality presentations to communicate technical output to senior stakeholders
- You'll be part of a niche team embedded in factory operations working to optimize manufacturing processes for lower cost and higher revenue
- Deliver on cutting-edge data science algorithms and cloud architecture for production deployment
- Work with cross functional teams to develop ML capabilities in HDD products
- Self-motivated to work both unsupervised and as part of an agile team. Collaborate to develop self and others within group.
- Participate in planning and coordinating significant technical investigations from problem statement to conclusions.
Qualifications
Required Master Degree in data science 2026 Passout. Candidate using deep learning in their research work are also encouraged to apply.
- Solid experience with data wrangling in Python (Pandas/NumPy). Experience with unstructured data and efficient data pipelines
- Solid experience with ML algorithms for regression and classification
- Must have experience with applying at least one advanced Deep learning concepts
- Demonstrated ability to rapidly learn new technologies, complex code and developing system, architecture view.
- Strong aptitude and penchant for problem solving, algorithm design and complexity analysis skills.
- You are comfortable and enjoy working with dynamic and ever evolving environments.
- Technical mindset with great attention to detail and an ever positive, can-do attitude.
- Demonstrate use of out-of-box thinking for creative solutions to highly sticky problems.
- You have excellent interpersonal skills, including written and verbal communication and are an effective collaborator.
- You'll be a fun and enthusiastic teammate who enjoys a challenge and celebrates success.
Additional Information
All your information will be kept confidential according to EEO guidelines.
Tags: Agile Architecture Classification Data Mining Data pipelines Deep Learning Engineering Machine Learning NumPy Pandas Pipelines Python PyTorch Research TensorFlow Unstructured data
Perks/benefits: Career development Startup environment
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