3 Opening(s)
8.0 Year(s) To 13.0 Year(s)
10.00 LPA TO 20.00 LPA
Role : SW/Application Tech Support Practitioner
Role Description : Define the SW/Application Tech Support Practitionerure, ensuring that it meets the business requirements and performance goals.
Must have Skills : Security & Risk
Good to Have Skills : Cloud Security Infrastructure
Job Requirements : At least 7-9 years experience in supporting Cloud Security solution management ...
1 Opening(s)
5.0 Year(s) To 7.0 Year(s)
6.00 LPA TO 8.40 LPA
About the Role:
We are looking for a skilled Full Stack Web Developer with expertise in modern web technologies and server infrastructure. The ideal candidate will have experience building and maintaining dynamic web applications using Node.js, MongoDB, Laravel, and MySQL. A strong understanding of cloud platforms, web hosting, networking, and Linux ...
5 Opening(s)
3.0 Year(s) To 5.0 Year(s)
15.00 LPA TO 17.00 LPA
Key Responsibilities
Design, develop, and maintain scalable backend services and APIs using Java and Spring Boot.
Strong proficiency in Java (Java 8 or above) and Spring / Spring Boot framework.
Experience with SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.)
Exposure to cloud platforms GCP & Azure and containerization (Docker, Kubernetes) is a plus.
Hands-on ...
1 Opening(s)
2.0 Year(s) To 7.0 Year(s)
Not Disclosed by Recruiter
Job Description: Python - Django DeveloperPosition: Python - Django DeveloperLocation: Dumas Road, SuratEmployment Type: Full-TimeExperience: 2–5 Years________________________________________Key Responsibilities• Develop and maintain robust, scalable web applications using Python and Django.• Design and implement RESTful APIs following best practices.• Collaborate with front-end developers to integrate user-facing elements.• Ensure application security, data protection, ...
1 Opening(s)
2.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
About the Role:We are seeking a skilled Report Writer with strong expertise in SQL Server, Power BI, and SSRS to design, develop, and maintain business reports and dashboards. The ideal candidate will possess excellent communication skills, a keen eye for detail, and the ability to translate business requirements into insightful ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Key Responsibilities:
1. Architecture & Deployment
Design and implement highly available and scalable Elasticsearch clusters.
Conduct architecture reviews, capacity planning, and performance optimization.
Ensure robust security configurations, including access controls and encryption.
2. Data Migration
Develop and execute data migration strategies, including snapshot and restore mechanisms.
Ensure seamless data movement across multiple clusters while maintaining data integrity.
3. Observability & Monitoring
Set up log collection pipelines using Beats ...
2 Opening(s)
5.0 Year(s) To 8.0 Year(s)
18.00 LPA TO 20.00 LPA
Experience – 5 To 8 YearsSalary – 18 Lac To 20 LacNP – 0 To 30 DaysIndia – NoidaJob Description:We are seeking skilled and motivated Spark & Databricks Developers to join our dynamicteam for a long-term project. The ideal candidate will have strong hands-on experiencein Apache Spark, Databricks, and GitHub-based development workflows.Key Responsibilities: Design, develop, ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
Not Disclosed by Recruiter
Responsibilities:
Gather business requirements and translate them into functional BI solutions.
Design, develop, and optimize MicroStrategy reports, dashboards, and cubes.
Implement and enhance MicroStrategy solutions on cloud platforms, especially Azure.
Develop and manage data pipelines using cloud-native technologies.
Work closely with stakeholders for end-to-end project delivery.
Perform performance tuning of existing MicroStrategy solutions.
Support BI infrastructure, including ...
2 Opening(s)
3.0 Year(s) To 5.0 Year(s)
Not Disclosed by Recruiter
Role Overview
As a Senior Platform Engineer – MLOps, you will play a key role in designing, building, and
maintaining the infrastructure and workflows that support our machine learning systems. You’ll
work closely with data scientists, ML engineers, and DevOps teams to implement scalable
MLOps solutions, mentor team members, and ensure smooth deployment and ...
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