Karnataka Python and go backend developer Jobs – 119 Open Jobs Today

ML Engineer I
UST —Bengaluru, Karnataka
- Azure
- Computer Science
- Java
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AI Acceleration Architect
Metyis AG —Bengaluru, Karnataka
- Full-time
- Hybrid work
- Azure
- Computer Science
- ERP systems
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5d
Staff Engineer
HackerRank Careers —Bengaluru, Karnataka
- System design
- Java
- Master's degree
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Lead Full Stack Engineer
Zeta Global —Bengaluru, Karnataka
- Java
- Master's degree
- AWS
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ML Engineer I

UST -
Bengaluru, Karnataka

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Job details

Qualifications

CI/CD
Azure
Go
Computer Science
React
Kubernetes
Spark
Git
Java
Master's degree
SQL
AWS
Docker
Bachelor's degree
Continuous integration
SDKs
REST
Angular
GitHub
APIs
UI
Kafka
AI
gRPC
Jenkins
TypeScript
GitLab
Python
Information Technology
Design patterns

Full job description

Role description

NXP is rapidly scaling advanced analytics, AI/ML, and data-driven decision making across R&D. As our Data & AI Architect, you will define and realize the architectural vision that underpins these capabilities. You will explore opportunities beyond the paved road, drive innovation, and guide global teams in delivering secure, scalable, and future proof data and AI solutions.
This role is ideal for a highly experienced architect ready for their next step combining deep hands on expertise with strategic thinking, leadership, and enterprise collaboration.
Role and responsibilities

Design and build platform components for an AI platform including core services, SDKs, client libraries, and reusable modules.
Develop and maintain APIs (REST/gRPC) with clear versioning, backward compatibility, and OpenAPI/IDL specifications.
Create and support CLIs and developer tools to simplify onboarding, testing, and deployment for internal and external users.
Integrate features end to end: wire backend services to UI components, ensure consistent UX for platform features, and ship production ready front end changes.
Implement SDKs and client libraries across languages, manage packaging, distribution, and semantic versioning.
Build and operate data pipelines for ingestion, transformation, and feature preparation; ensure data quality, lineage, and monitoring.
Collaborate with ML and DevOps teams to enable model training, serving, and lifecycle management; integrate with CI/CD and AIOps workflows.
Ensure reliability and performance: write tests (unit, integration), benchmark services, and optimize latency and throughput.
Document and evangelize APIs, SDKs, CLIs, and integration patterns; produce examples, tutorials, and SDK reference guides.
Security and compliance: implement secure defaults, secrets handling, and input validation for APIs and SDKs.
Continuous improvement: gather developer feedback, iterate on DX (developer experience), and reduce friction for platform consumers.
Education and Experience
Bachelor s or master degree in Computer Science, Information Technology, Engineering, or equivalent
5+ years of experience in building backend services, SDKs, APIs, and data pipelines; experience with AI/ML platforms or MLOps is highly desirable.
Proven track record shipping production SDKs or client libraries and maintaining public or internal APIs.
Experience integrating backend services with modern front ends and shipping UI features.
Hands on experience with data engineering tools and production data workflows.
Required Skills and Expertise
Languages: Python; plus one or more of Go, Java, or TypeScript.
API and SDK: REST, gRPC, OpenAPI; SDK design patterns; packaging and distribution (PyPI, npm).
CLI development: experience building robust CLIs (e.g., Click, argparse, Cobra).
Frontend integration: familiarity with React, Angular, or Vue for adding UI features and collaborating with frontend engineers.
Data engineering: SQL, ETL patterns, Spark, Airflow, Kafka or other streaming systems, Parquet/Delta.
Model serving and MLOps: exposure to model serving frameworks (Triton, TorchServe, KFServing) and model lifecycle concepts.
Cloud and infra: AWS/GCP/Azure fundamentals; containerization with Docker; Kubernetes basics for deploying services.
CI/CD and automation: Git, GitOps, Jenkins/GitHub Actions/GitLab CI, automated testing and release pipelines.
Observability and testing: logging, metrics, tracing (Prometheus, Grafana, OpenTelemetry); strong testing discipline.
Security and reliability: secrets management, input validation, rate limiting, and API security best practices.

Skills

mlops,python,typescript,rest,

About UST
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.

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