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

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 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

Apply Link:- Click Here

To apply for this job please visit seagatecareers.com.

Seagate Career | Intern – Data Science | Apply Now