1 Opening(s)
7.0 Year(s) To 10.0 Year(s)
Not Disclosed by Recruiter
We are looking for a senior Oracle Subscription Management Consultant with deep expertise in Subscription Lifecycle, Recurring Billing, O2C process flows, and Oracle Cloud implementation. The consultant will work closely with business and technical teams to support subscription setup, billing configuration, pricing models, renewals, amendments, and revenue-related processes.
This is a ...
18 Opening(s)
3.0 Year(s) To 6.0 Year(s)
7.20 LPA TO 9.60 LPA
Key Responsibilities• Develop and manage detailed BIM models for architectural projects using Revit and related software.• Coordinate BIM models across disciplines (Architecture, Structure, MEP) to ensure accuracy anddesign integrity.• Support project teams in integrating BIM workflows and ensuring compliance with company BIMstandards.• Produce construction documents, drawings, and schedules directly from ...
3 Opening(s)
4.0 Year(s) To 6.0 Year(s)
12.00 LPA TO 15.00 LPA
We’re looking for an AI/ML Engineer with hands-on expertise in LLMs, Agentic AI, NLP and some Computer Vision. You’ll build scalable AI solutions using transformer-based models, LLM-powered chat systems, and vector databases, primarily in Python. A research-driven, proactive mindset is highly valued.What you’ll do:
o Build and optimize document classification & information extraction pipelines
o Build Agentic AI for FinTech usacases
o Train/fine-tune NLP models (Transformers/LLMs) for classification tasks
o Implement LLM ...
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)
2.0 Year(s) To 4.0 Year(s)
Not Disclosed by Recruiter
About the Company
Our client is an emerging leader in AI-powered supply chain optimization. Their platform helps businesses eliminate overstocking and under-stocking by leveraging advanced analytics and forecasting models. Built by supply-chain experts, the organization focuses on enabling high-growth startups to scale seamlessly by aligning supply with demand through data-driven decisions.
Key ...
1 Opening(s)
2.0 Year(s) To 5.0 Year(s)
3.00 LPA TO 4.50 LPA
Key Responsibilities:
Develop 2D/3D models and technical drawings using CAD software such as SolidWorks, AutoCAD, or similar tools
Design marine components and assemblies in line with project specifications and industry standards
Collaborate with production, procurement, and quality teams to ensure design feasibility and manufacturability
Revise and update designs based on feedback, testing, and client ...
2 Opening(s)
3.0 Year(s) To 8.0 Year(s)
16.00 LPA TO 18.00 LPA
Seeking a dynamic Senior Associate Sales Manager to drive revenue growth and lead offline expansion efforts. In this pivotal role, you will oversee a team of Associate Sales Managers, Business Development Managers (BDMs), Associate BDMs (ABDMs), and Counsellors, ensuring consistent achievement of revenue targets and excellence in customer engagement. You ...
8 Opening(s)
3.0 Year(s) To 8.0 Year(s)
18.00 LPA TO 20.00 LPA
Seeking a dynamic Senior Sales Manager to drive revenue growth and lead offline expansion efforts. In this pivotal role, you will oversee a team of Associate Sales Managers, Business Development Managers (BDMs), Associate BDMs (ABDMs), and Counsellors, ensuring consistent achievement of revenue targets and excellence in customer engagement. You will ...
1 Opening(s)
3.0 Year(s) To 6.0 Year(s)
10.00 LPA TO 12.00 LPA
Role Summary:The Business Analyst will collaborate with product solutions, development, and testing teams to define requirements and propose solutions for the functional design, user interface, and workflow of new and enhanced application features. This role alsoinvolves working closely with project managers, scrum masters, and other business units to ensure successful ...
1 Opening(s)
5.0 Year(s) To 8.0 Year(s)
30.00 LPA TO 36.00 LPA
Role Overview:
We are seeking a highly skilled and detail-oriented Business Analyst with a strong background in Agile software development, product backlog management, and a proven track record in the logistics domain. The ideal candidate will be responsible for driving business requirements, collaborating with stakeholders, and ensuring the delivery of high-impact product features with precision ...