350 Job openings found

5 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
The Role We are looking for a full stack engineer to join our team. We ideally hire engineers who are comfortable across the full stack, but we know you will have a preference about being on the front-end or back-end. As long as you're happy to work on both sets of ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
8.00 LPA TO 11.00 LPA
  Role Overview:As a DevOps Engineer, you will lead and support the migration of our infrastructure toKubernetes across cloud and local environments while designing, building, and maintaining ourGoogle Cloud, Oracle Cloud, and on-premise infrastructure. You will collaborate closely withengineering, product, and QA teams to ensure reliable deployments, high availability, strongsecurity controls, ...
1 Opening(s)
4.0 Year(s) To 7.0 Year(s)
9.00 LPA TO 10.00 LPA
Developer (L2) — Backend / Full Stack   Focus Implementation, Feature Delivery, Code Quality, Cross-System Integration   Key Responsibilities:• Feature Development: Implement and deploy new features across server-side (PHP/Laravel) andfront-end (React) systems.• API Design: Develop and optimize RESTful and GraphQL APIs for seamless integration acrossservices.• Database Engineering: Write optimized SQL queries and manage schema ...
1 Opening(s)
8.0 Year(s) To 10.0 Year(s)
18.00 LPA TO 24.00 LPA
  Role Overview We seek a proactive and detail-oriented Project Manager to lead and manage end-to-end project execution. You will play a pivotal role in ensuring projects are delivered on time, within scope and budget, while coordinating cross-functional teams in a high-growth FinTech domain. Key Responsibilities : Plan, execute, and deliver multiple complex projects, maintaining tight ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
20.00 LPA TO 25.00 LPA
Job Overview: The position of Senior Software Engineer may directly report to the Team Lead or Project Manager. The Senior Software Engineer is a senior developer. His or her primary responsibilities are analyzing software requirements, developing software, and performing code reviews. He or she should have minimum 4-7 years of experience in ...
1 Opening(s)
0 To 3.0 Year(s)
0.00 LPA TO 2.50 LPA
Position:- Gen AI / ComfyUI Engineer Full time, Permanent   Salary- 2LPA What You’ll Do: Build and test AI workflows in ComfyUI (LoRA training, image/video generation). Deploy workflows to cloud GPUs on AWS / Modal / RunPod. Connect these workflows to a frontend-based web app (no backend complexity). Organize model files, outputs, and S3/cloud storage. You Should Know: ComfyUI (or similar like Auto1111 / ...
1 Opening(s)
5.0 Year(s) To 10.0 Year(s)
10.00 LPA TO 15.00 LPA
Job Summary: We are looking for a highly skilled Java Architect/Java Technical Lead with 5–10 years of experience in designing and developing scalable, high-performance applications. The ideal candidate should have strong expertise in Java, Spring Boot, and React and hands-on experience with Microsoft Azure services, including Azure Service Bus and Azure Functions. Key Responsibilities: Define ...
1 Opening(s)
2.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
About the Role We are looking for a passionate and skilled full-stack developer to join our team. The ideal candidate has solid experience in frontend development using React.js and backend development using NestJS. Familiarity or hands-on experience with Golang will be considered a strong plus. In this role, you will ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
3.00 LPA TO 5.00 LPA
Job Title Backend Environment Engineer Location & Experience Location: [City, State], India Experience: 2-3 years in backend infrastructure / environment engineering Role Summary You will work as part of the infrastructure / environment team to build, maintain and optimise the backend environments that support production services, development pipelines and data flows. You’ll ensure environments are provisioned, ...
1 Opening(s)
3.0 Year(s) To 5.0 Year(s)
18.00 LPA TO 24.00 LPA
About the Role : We are looking for a hands-on Full Stack Data Scientist who can independently manage the  entire machine learning lifecycle—from data wrangling to deployment—without relying on a  dedicated data engineering team. This role is ideal for someone who thrives in a fast-paced, self- directed environment and is passionate about building real-world ML solutions that drive  business outcomes.      Key Responsibilities : ∙Own the full ML pipeline: data ingestion, cleaning, feature engineering, model  development, deployment, and monitoring.  ∙Build and fine-tune models using Python and frameworks like Scikit-learn, XGBoost,  TensorFlow, or PyTorch.  ∙Deploy models using Databricks, MLflow, and cloud-native tools (preferably Azure).  ∙Develop robust, scalable pipelines using PySpark or native Databricks workflows.  ∙Collaborate with BI analysts and business stakeholders to translate requirements into  production-ready solutions.  ∙Maintain and improve existing models and pipelines with minimal supervision.      Required Skills : ∙3+ years of experience in applied data science or ML engineering.  ∙Strong Python programming skills, including experience with data manipulation and ML libraries.  ∙Experience with Databricks and cloud-based ML deployment (Azure preferred).  ∙Ability to work independently across the full stack of ML development and deployment.    ∙Familiarity with version control (Git), CI/CD, and MLOps best practices.  ∙Excellent communication skills and ability to work with remote teams across time zones.      Nice to Have  ∙Experience with data pipeline development using PySpark or Delta Lake.  ∙Exposure to Docker, REST APIs, or real-time inference.  ∙Prior experience working in a manufacturing or industrial analytics environment.    Interview Process:  Shortlisted candidates will be required to complete:  ∙An online technical skills assessment focused on Python and applied machine learning.  ∙An in-person practical test at our Ahmedabad Tech Center to evaluate real-world  problem-solving and deployment capabilities.  Hours: 2:30 PM – 11:30 PM IST (working from Office) Reports to: Manager, Data Analytics California, USA 

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