Full Stack MLOps Engineer

Full Stack MLOps Engineer

23 Oct
|
Quantzig
|
Bharatpur

23 Oct

Quantzig

Bharatpur

About Quantzig:

Quantzig is a global analytics and advisory firm with offices in the US, UK, Canada, China, and India. we have assisted our clients across the globe with end-to-end advanced analytics, visual storyboarding, Machine Learning and data engineering solutions implementation for prudent decision making. We are a rapidly growing organization that is built and operated by high-performance champions If you have what it takes to be the champion with business and functional skills to take ownership of an entire project end-to-end, help build a team with great work ethic and a drive to learn, you are the one we’re looking for. The clients love us for our solutioning capability,





our enthusiasm and we expect you to be a part of our growth story.

Find out more about the company :

What are we looking for?

With 3 - 5 years of application development experience with backend technologies Like Python.

• Candidate should be able to understand and interpretate business requirements into clearly articulated technology solution.

• Experience working with RDBMS database models in Cloud.

• Basic knowledge of cloud components like Databrick, ADLS & OAuth/Secrets will be added advantage.

• Understanding different DB's like Clickhouse, MS SQL, Postgres, Snowflake will be added advantage.

• Experience working with Python Tornado and FastAPI frameworks.

• In-depth understanding of RESTful APIs, token authentications, compression.

• Good problem-solving skills and Team spirit

• Experience with version control and issue tracking systems: Bit Bucket, Git CLI, Jira.

• Strong debugging, problem solving and investigative skills. Ability to assimilate disparate information (log files, error messages etc.)





and pursue leads to find root cause problems.

• Ability to work in an Agile environment at scale.

• Excellent verbal and written communication skills

• Knowledge of software development lifecycle, DevOps (build, continuous integration, deployment tools) and standard methodologies

• Experience in working source control management systems like git, Bitbucket and managing packages using private registries like Jfrog

• Understanding of fundamental design principles behind a scalable application

Tech Stack -

- Full Stack, Python, Go, RestAPIs, Middleware - database middleware, application server middleware, message-oriented middleware, web middleware,
- and transaction-processing monitors, Docker, Kubernetes
- Data Structures,





design patterns
- Microservices & REST APIs – FastAPI/Django/Tornado
- Databases & SQL – Postgres, Clickhouse, MSSQL, Mongo DB, Snowflake
- Caching & Queuing – Kafka, Redis
- Orchestrator tools

Good to have:

- MLOps expertise for OnPrem/Cloud applications
- Interest and exposure in Generative AI
- Understand and practice the LLMOPs.

Other Expectations:

- Excellent communication and interpersonal skills
- Address possible risks and constraints.
- Excellent analytical problem-solving skills
- Good knowledge of API development and best practices

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