Ai / ml engineer
16 hours ago
you’ll be responsible for —
The development of all server-side logic, definition, and maintenance of the central database, and ensuring high performance and responsiveness to requests from the front-end.
Ensuring sub-second server response and being responsible for implementing relational, document, key, object, or graph data stores, index stores, and messaging stores as needed.
Writing clean, high-quality, high-performance, and maintainable code.
Building robust, secure, and scalable microservices.
Implementing RESTful services with a metric-driven API Gateway.
Designing and optimizing backend systems to handle large-scale AI/ML data pipelines, model serving, and real-time data processing for predictive analytics.
Developing a highly scalable and performant backend based on event-driven architecture with AI/ML integration.
Integrating AI/ML model APIs into backend services and ensuring optimal performance of those models.
Breaking down features into tasks and driving the evolution of the backend architecture to support AI/ML models at scale.
The entire lifecycle of stories: development, test, production, and subsequent fixes and improvements.
Solving complex technical problems.
Performing an objective analysis of the problem statement and coming up with an unbiased technical solution before writing a single line of code.
Evaluating relevant technologies, influencing, and driving architecture and design discussions.
Coordinating cross-functionally to ensure the project meets business objectives and compliance standards. This includes collaborating with QAs, PMs to ensure timely delivery of high-quality apps.
Participating in, designing, and driving the code review process.
you need —
Overall 6+ years of software development experience, with deep expertise in frameworks and languages such as Java, Go, and Python, including 3+ years of focused, hands-on experience with Golang.
Experience with frameworks like Springboot, Quarkus, Gin/Mux.
Experience in working with microservice architectures, transactional systems, and distributed environments.
Proficient in building Graph QL APIs.
Proficient in OOP, SQL, Design Patterns with data modeling experience in relational databases.
Experience with My SQL, Postgre SQL, No SQL (Cassandra, Redis, Dynamo DB).
Familiarity with AI/ML model deployment, performance tuning, and backend system integration.
Experience with scalable infrastructure for AI/ML model serving and orchestration of machine learning workflows.
Experience in optimizing backend systems for AI/ML workloads in production environments.
Excitement about challenges in building AI-powered systems that can handle large-scale inference and data processing in production environments.
Exposure in building RESTful APIs with monitoring, fault tolerance, and metrics (with something like New Relic).
Proficient with Continuous Integration (CI), Continuous Deployment (CD), and version control (Git).
Well-versed with TDD and Test Engineering and Automation.
Experience mentoring a team of 2-3 engineers.
Self-starter with the ability to work independently in a fluid environment with minimal-to-no guidance.
Excellent attention to detail.
Outstanding written and verbal communication skills.
To be agile and able to adapt quickly to changing requirements, scope, and priorities.
Basic working knowledge of front-end technologies.
bonus points for —
Experience with AI/ML frameworks like Tensor Flow, Py Torch, or MLFlow.
Experience deploying serverless applications to GCP.
Experience in Cloud Run, Cloud Pub/Sub, Cloud Tasks, Kubernetes, Cloud Vision.
Experience with AWS stack.
Open-source contributions, side projects, blog posts, and YT tech videos.
what you get —
Best in class salary: We hire only the best, and we pay accordingly.
Proximity Talks: Meet other designers, engineers, and product geeks — and learn from experts in the field.
Keep on learning with a world-class team: Work with the best in the field, challenge yourself constantly, and learn something new every day.
about us —
We are Proximity — a global team of coders, designers, product managers, geeks, and experts. We solve complex problems and build cutting-edge tech, at scale.
Here’s a quick guide to getting to know us better...
You can visit our website Proximity.tech and:
Watch our CEO, Hardik Jagda, tell you all about Proximity.
Read about Proximity’s values and meet some of our Proxonauts.
Explore our website, blog, and the design wing — Studio Proximity.
Get behind-the-scenes with us on Instagram Wrks Jagda
Get behind the scenes with us on Instagram Follow and
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