275 Job openings found

Project Role : Application Developer  Project Role Description : Design, build and configure applications to meet business process and application requirements.                                                            ...

  OUR TECH STACK/ PLATFORMS The company is available as a desktop and mobile site (responsive) and as an Android & iPhone app. Our tech stack is React-Native, React.JS, Node.js, Postgres. WHAT WE NEED: Relevant Years of Experience: At least 10 years in development, at least 4 experience in React Native and Node.JS Remote Work: Independent ...

      Experience in product development life-cycle and product process-oriented agile development environment.   Demonstrated at least 3-4 years of delivery experience of Microservices using Springboot and Spring Cloud.   Should have at least 2 years of experience in docker, Kubernetes, and Serverless.   Demonstrable experience in Core Java (1.8 or higher) and spring framework (Core, AOP, Batch).   At least 3 years of experience in building highly scalable cloud-native microservices-based applications using ...

Description  Primary Job Responsibility:• Perform Requirement analysis from the use case documents and work with SME to clarify and providefeedback as necessary.• Design, Code, Test, and Document the system.• Assist project manager and architects to review the project plan and software design.• Work with junior team members in understanding requirements and ...

Hands on expertise on Android mobile development. Working knowledge on Java technologies Knowledge of web technologies - HTML5, CSS3, and JavaScript for cross-platform development Knowledge of backend applications to support mobile software Deep understanding and solid programming skills in developing SQL queries, stored procedures, views and tables using SQL Server. Strong understanding of object-oriented programming Understanding ...

Role OverviewThis role combines Data Engineering leadership with enterprise transformation ownership. You will lead a distributed data engineering and automation team while personally driving architecture, modernization, and high-impact delivery. You are accountable for turning legacy-heavy, labor-intensive systems into modern, automated, cloud-native platforms that measurably reduce cost, risk, and friction across the business.This is not a ...

We are building the next-gen AI-native, multilingual, Omni channel communication platform for emerging markets. We are looking for a hands-on AI/ML & Data Engineering Lead who will own and deliver critical components of our agent assist stack — including Whisper/STT, LangChain-based summarization, emotion tagging, GPT integration, and scalable data pipelines. ...

About the RoleWe are seeking a high-performing Senior Sales Professional to lead revenue growth in the US market for our IoT,AI, Blockchain, and SaaS portfolio. The ideal candidate has deep enterprise sales experience, consultative sellingexpertise, and a proven track record of closing complex, multi-stakeholder deals in regulated industries.Key Responsibilities Drive ...

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 

Job Description BASIC PURPOSE: Assistant Manager/STL – Fullstack is responsible for planning, designing and delivering high quality Web and Mobile Applications. Instrumental in understanding functional requirements, guiding teams through deliveries, profiling and improving front-end and back-end application performance, mentor team members and take end to end ownership of applications. ESSENTIAL FUNCTIONS:      ·       Design, build and implement ...