1 Opening(s)
10.0 Year(s) To 15.0 Year(s)
12.00 LPA TO 15.00 LPA
Sr. Deployment Support/IT Head (Capital Market domain)
Roles and Responsibilities- Provide XTS deployment and BOD EOD support- Resolve day to day issue of clients' via phone, email and on-line chat or Remote Support- Troubleshoot XTS application issue- Coordinate with Client, Dev Team and Application Support team for resolving the issue- Monitor ...
1 Opening(s)
4.0 Year(s) To 6.0 Year(s)
Not Disclosed by Recruiter
Job Title: Senior DevOps EngineerFocus: Deployment Expertise on Render, Vercel, AWS | Infrastructure for AI/ML ProductsLocation: Navi Mumbai (WFO Mandatory)Department: ITEmployment Type: Full-timeAbout the Role:We are seeking an experienced Senior DevOps Engineer to take a lead role in the design,implementation, and management of cloud-based infrastructure for our AI and media ...
3 Opening(s)
12.0 Year(s) To 20.0 Year(s)
20.00 LPA TO 40.00 LPA
Role : Deployment Lead
Role Description : Plan and lead the execution of a comprehensive deployment plan, including work planing, scheduling, budgetting, metrics, training, pilots and resources. Collaborate with all project teams to ensure alignment between all deployment-related activities. Must have Skills : Oracle Retail Merchandising System,Oracle Siebel Project Management
Job ...
1 Opening(s)
8.0 Year(s) To 12.0 Year(s)
20.00 LPA TO 20.00 LPA
Presales Implementation Engineer
Job Summary
We are seeking a highly adept and driven Presales Implementation Engineer with a profound understanding of the Cybersecurity domain. The ideal candidate will possess extensive hands-on expertise with Unified Endpoint Management (UEM), Mobile Device Management (MDM), Remote Monitoring and Management (RMM) platforms, or advanced Patch Management solutions. ...
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
1 Opening(s)
9.0 Year(s) To 15.0 Year(s)
40.00 LPA TO 70.00 LPA
Gradulate in Engineering. ● Having enough knowlege in VoLTE and legacy CS Nw. ● He should have below set of experience : ● Hands on experience on IMS core network elements ● Knowledge and exposure to switching network, signaling, telecom standards and implementations. ● Experience on VoLTE design, call flow ...
1 Opening(s)
2.0 Year(s) To 3.0 Year(s)
Not Disclosed by Recruiter
The role
As an Application Packaging Analyst, this role requires the individual to serve as a Subject Matter Expert for the packaging, testing, and deployment of software applications using a suite of tools to manage the process.
You will adopt an automation-first, problem management-focused mindset for application packaging across the hardware ...
1 Opening(s)
17.0 Year(s) To 25.0 Year(s)
22.00 LPA TO 35.00 LPA
Strategy & Planning
In partnership with the company’s founders, lead strategic planning to achieve business goals by identifying and prioritizing development initiatives and setting timetables for the evaluation, development, and deployment of all products and solutions.
Evaluate and identify appropriate technology platforms (including web application frameworks and the deployment stack) for delivering ...
3 Opening(s)
5.6 Year(s) To 7.5 Year(s)
11.20 LPA TO 15.00 LPA
Role Description : Assist the Deployment Lead in all deployment-related tasks including work planing, scheduling, budgetting, metrics, training, pilots and resources. Must have Skills : AngularJS Good to Have Skills : Java Enterprise Edition Job Requirements : Key Responsibilities : a: Resource will ...
3 Opening(s)
5.6 Year(s) To 7.5 Year(s)
10.00 LPA TO 15.00 LPA
Role : Deployment Specialist Role Description : Assist the Deployment Lead in all deployment-related tasks including work planing, scheduling, budgetting, metrics, training, pilots and resources. Must have Skills : AngularJS Good to Have Skills : Java Enterprise Edition Job Requirements : Key Responsibilities : ...