We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at scale -- across all devices and digital mediums, and our people exist everywhere in the world (17500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in!
REQUIREMENTS:
Total experience7+ years.
Hands on working experience in Python
Experience with data visualization libraries (e.g., matplotlib, seaborn, plotly)
Strong working experience grasp of DS stack packages: SciPy, scikit-learn, TensorFlow, PyTorch, NumPy, Pandas
Basic to intermediate SQLskills
Experience working with GCP.
Hands-on experience deploying ML solutions using Kubeflow, Vertex AI, Airflow, or PySpark
Excellent communication and collaboration skills for working across global teams
RESPONSIBILITIES:
Writing and reviewing great quality code.
Understanding the client's business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
Mapping decisions with requirements and be able to translate the same to developers.
Identifying different solutions and being able to narrow down the best option that meets the clients' requirements.
Defining guidelines and benchmarks for NFR considerations during project implementation
Writing and reviewing design document explaining overall architecture, framework, and high-level design of the application for the developers
Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensure that all relevant best practices are followed.
Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it
Understanding and relating technology integration scenarios and applying these learnings in projects
Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
Carrying out POCs to make sure that suggested design/technologies meet the requirements.
Qualifications
Bachelor's or master's degree in computer science, Information Technology, or a related field.
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