Seagate | Advertisement for the Post of Data Science Intern, Apply ASAP!
Overview:
Seagate is currently accepting applications for the position of Data Science Intern. If you're passionate about data science and eager to gain hands-on experience, we encourage you to apply.
About the role - you will:
- 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
About you:
- 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 communication 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
Your experience includes:
- Experience with machine learning frameworks tools like sci-kit-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
Location:
Pune, India