Seagate Recruitment | Intern- Data Science

Seagate Career 2024 Invites Students From Various Disciplines to apply for the Position of Intern- Data Science in Pune, India. Below you will find more details about what you need to know if you are Interested and Eligible

Seagate Recruitment Details :-

Job Description & Responsibilities:-

• 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

Eligibility Criteria:-

• 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

Skills Set:-

• Experience with machine learning frameworks tools like scikit-learn, TensorFlow, or PyTorch
• 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

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