Seagate is hiring for the role of Data Science Intern at its Pune location. Please read the entire information carefully and apply if you are eligible for Data Science Intern Job Opening at Seagate
Eligibility Criteria:
Education : Bachelor's degree of Engineering or related fields
Job Location: Pune
Experience: Fresher
Skills: scikit-learn, TensorFlow, or PyTorch
Skills Required to be successful in this role:
- You’re a passionate professional who is up to the challenge of blending the fast-changing technology landscape of Generative AI with the complex and high-impact space of HiTech and Manufacturing analytics
- Strong appetite for constant learning, thinking out of the box, questioning the problems & solutions with the intent to understand and solve better
- You’re uncompromisingly detail oriented, well organized with solid time management skills, and you have solid, effective verbal and written communications abilities
- Ability to motivate people and instill ownership, reliability, teamwork, and commitment in the team
- Excellent interpersonal skills to develop relationships with different teams and peers in the organization
Experience Includes:
- Experience with machine learning frameworks tools like scikit-learn, TensorFlow, or PyTorch
- Also has experience with machine learning lifecycle platforms (Kubeflow, MLflow) and cloud data services (GCP, AWS)
- Experience in at least one major programming language (e.g. Python, Scala, Java) and SQL (any variant)
- A collaborative coder, comfortable with Git and code reviews
- Good Knowledge of data management and data mining architecture
- Ability to proactively identify and resolve issues
Job Description for Data Science Intern Job Opening at Seagate:
- Assist with implementing end to end ML pipelines and deliver scalable production Machine learning services
- Collaborate with machine learning engineers to build scalable data pipelines and development of new ML models
- Leverage MLops tools to support ML workflows including experimentation, training and production operations
- Design and implement tools and processes for the entire ML Ops including model development, model deployment, model serving, model monitoring and experimentation
- Work on multiple streams of analytics which includes Time series , image and Tabular data
- Work on building accelerators and ML frameworks
Benefits & Perks of Joining Seagate:
- Seagate offers employee stock purchase program
- Offers health and wellness
- Also offers pension
- Includes paid holiday time
- Also provides the opportunity to learn and develop cutting-edge technologies
About the Company:
With more than four decades of storage innovation, Seagate empowers humanity to thrive in the data age and helps people and businesses navigate the ever-expanding data landscape.
We craft precision-engineered, cutting-edge solutions that help the world store and manage exponential data growth.
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