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Software Engineer (Senior 4-7 Years)

Remote:

Full Remote

Contract:

Full time

Experience:

Senior (5-10 years)

Work from:

India

Offer summary

Qualifications:

4-7 years of software engineering experience, Expertise in GCP/Azure for AI/ML solutions, Experience with open-source technologies, Solid understanding of DevOps principles, Proficient in building machine learning infrastructure.

Key responsabilities:

Build software meeting engineering standards
Lead agile development and good practices
Onboard, coach and mentor engineers
Define solution and landscape architecture
Explore new technologies for product enhancement

weITglobal - W.IT.G Consulting AB Information Technology & Services Startup https://www.weitglobal.com/

11 - 50 Employees

See more weITglobal - W.IT.G Consulting AB offers

Job description

This is a remote position.

The scope of the consultant services is to assist in

As Software Engineer, your main responsibilities will include:

Building software that meets the team’s & company’s engineering standards.
Contribute to all aspects of the platform lifecycle, with a focus on engineering (including new product ideas)
Lead and promote good software engineering practices within an agile/iterative development approach to improve time to market and fulfill business needs.
Partner closely with the engineering manager. Onboard, coach and mentor engineers to secure competence transfer and a high-performing team.
Design and educate other engineers on ways of working, encouraging good practices to meet consumer expectations on product or service delivery.
Define solution architecture and contribute to the landscape architecture.
Define, maintain, and improve our integration and delivery pipeline.
Explore and apply new technologies suitable for our product.
Take responsibility for the product from ideation to runtime; this may include on-call duties.
Continuously nurture skills in areas such as system architecture, infrastructure management, software development, and platform engineering.

Requirements

Desired knowledge, experience, competence, skills, etc

Develop tools, frameworks, and custom components to address common needs in machine learning platforms, such as model training, model deployments, model severability, versioning, explainable, feature store, security, infrastructure, etc.
Design, Develop, and maintain large-scale data and cloud infrastructure required for machine learning projects.
Working with CI/CD flow where we strive for total automation of bringing code from a developer to production.
Utilize software engineering to create efficient, scalable solutions for deployment in critical production environments hosted on GCP/Azure.
Understanding of Large Language Models.
Leverage your expertise in working with GCP and Azure as a foundation for scaling AI and ML solutions.

What 3 things are most important?

Azure Cloud
Experience working with open-source technologies like Nvidia Nemo Framework, Mongo, TensorRT, k Serve, K-Native, Apache Kafka, etc.
Have solid foundations on DevOps principles and possess hands-on experience with modern DevOps practices.