Specialist Principal Engineer, Machine Learning (Python) India, Gurugram Employee

Principal Engineer, Machine Learning (Python)

Full-time

Service Region: South Asia

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 (+ experts across 36 countries, to be exact).

Our work culture is dynamic and non-hierarchical.

We are looking for great new colleagues.

That's where you come in!

Requirements:

1. Experience: 13+ Years
2. Proficiency in Python programming.
3. Strong understanding of software architecture principles and design patterns.
4. Experience with frameworks such as Django or Flask.
5. Knowledge of database systems (e.g., SQL, NoSQL).
6. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud).
7. Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).
8. Strong problem-solving abilities and analytical thinking.
9. Excellent verbal and written communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.
10. Relevant certifications in Python, cloud platforms, or software architecture are a plus.

Responsibilities:

1. Understanding the client's business use cases and technical requirements and be able to convert them into technical design which elegantly meets the requirements.
2. Mapping decisions with requirements and be able to translate the same to developers.
3. Identifying different solutions and being able to narrow down the best option that meets the client's requirements.
4. Defining guidelines and benchmarks for NFR considerations during project implementation.
5. Writing and reviewing design documents explaining overall architecture, framework, and high-level design of the application for the developers.
6. Reviewing architecture and design on various aspects like extensibility, scalability, security, design patterns, user experience, NFRs, etc., and ensuring that all relevant best practices are followed.
7. Developing and designing the overall solution for defined functional and non-functional requirements; and defining technologies, patterns, and frameworks to materialize it.
8. Understanding and relating technology integration scenarios and applying these learnings in projects.
9. Resolving issues that are raised during code/review, through exhaustive systematic analysis of the root cause, and being able to justify the decision taken.
10. Carrying out POCs to make sure that suggested design/technologies meet the requirements.
11. Bachelor's or master's degree in computer science, Information Technology, or a related field.