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
- Youll 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.
- Youll 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.
Remote Work :
Yes
Employment Type :
Intern